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Deloitte and Google Cloud Collaborate to Launch London AI Studio to Spearhead UK’s Transition to Agentic AI

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Deloitte and Google Cloud Collaborate to Launch London AI Studio to Spearhead UK's Transition to Agentic AI

Google Cloud

Deloitte announced the launch of a new AI Studio on its London campus, marking a significant expansion of its capabilities to deliver Agentic AI solutions to UK businesses. Developed in collaboration with Google Cloud, the studio will help British organisations move beyond AI experimentation to deploy autonomous, action-oriented AI systems at scale.

As the centerpiece of this investment, the Deloitte AI Studio will serve as a co-innovation hub where Deloitte’s leaders and clients will build and deploy production-ready agentic solutions. Opening in late July, the facility will focus on transitioning sectors, such as the public sector, financial services, retail, consumer products, healthcare and life sciences, and Technology, Media & Telecommunications (TMT). Specifically for retail clients, the solutions aim to shift from simple generative AI chat interfaces to Agentic AI and sophisticated systems capable of modernising the customer journey. In healthcare and TMT, the studio will focus on how Agentic AI can transform traditional business models and daily workflows.

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This investment further builds the strong alliance between Deloitte and Google Cloud. In addition to the studio launch, Deloitte today announced an intensive upskilling initiative to train 1,000 members of its UK AI and data workforce on Google Cloud’s Gemini Enterprise. This certification programme will ensure that Deloitte’s AI and data engineers are equipped with the technical expertise to implement Google’s most advanced agentic architecture, providing UK clients with one of the largest pools of certified AI talent in the region.

Speaking at the Google Cloud London Summit today, Chief AI Officer for Deloitte UK, Hayley McKelvey said: “Our clients are looking for more than just productivity gains—they want AI that can take action and drive real-world business outcomes. With our new AI Studio and the continued investment in our people, we are providing the physical and technical infrastructure necessary to make agentic AI an industrial reality in the UK. This is about moving from curiosity to a new era of autonomous business operations.”

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“We are witnessing British organisations move their AI initiatives into production, building a new era of agentic AI that delivers tangible value,” said Maureen Costello, Vice President, UK, Ireland and Sub-Saharan Africa, Google Cloud. “By launching this AI Studio and putting these advanced tools into the hands of 1,000 Deloitte specialists, Deloitte is ensuring that the UK remains at the heart of this technological journey.”

The new studio will host regular innovation labs allowing clients across all industries to prototype and validate agentic solutions in as little as four weeks, significantly reducing the time-to-market for complex AI deployments.

Matt Lacey, Global Chief Commercial Officer for Alphabet Google at Deloitte, added: “Our investment with Google Cloud in our latest AI studio in London represents a further expansion of our alliance with Google. Together, we will bring AI technology to life for a cross-section of industries in a physical setting that facilitates experimentation, collaboration and innovation, complementing our existing Experience Centres in Egypt and India.”

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Revefi Extends Its AI DBA to Autonomously Optimize Databricks Ecosystem

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Revefi Extends Its AI DBA to Autonomously Optimize Databricks Ecosystem

revefi grey logo transparent background

Revefi brings its autonomous AI DBA to Databricks, optimizing cost and performance 24/7. Live at Data + AI Summit 2026 June 16-18, Booth 113

Revefi today extended its AI DBA to Databricks, bringing the agentic teammate that autonomously manages, optimizes, and operates cloud data platforms to the Databricks ecosystem. The announcement coincides with Databricks Data + AI Summit 2026 in San Francisco, June 16 to 18, where Revefi will be exhibiting at Booth 113 and demonstrating the AI DBA live.

The Revefi AI DBA is built to work the way a great Databricks administrator works: task-oriented, transparent, and accountable.”

— Sanjay Agrawal

As Databricks deployments scale across jobs, pipelines, all-purpose clusters, and SQL warehouses, the operational burden on data teams scales with them. Engineers and platform owners spend most of their time on repetitive, high-toil work: tuning Spark jobs, chasing runaway DBU consumption, right-sizing and consolidating clusters, fixing out-of-memory failures and skewed joins, and resolving production incidents. Hiring a skilled Databricks administrator is expensive and slow. Existing tools can surface cost dashboards but rarely act on them, while the platform itself keeps getting more complex to operate. The Revefi AI DBA closes that gap by combining detection, investigation, and autonomous action in a single agentic teammate.

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“The best AI embodies the human, not the other way around,” said Sanjay Agrawal, Co-Founder and CEO of Revefi. “The Revefi AI DBA is built to work the way a great Databricks administrator works: task-oriented, transparent, and accountable. It runs controlled experiments before it changes anything, asks for approval when needed, assigns tasks to teammates, and keeps improving the platform around the clock. Customers can hire it the way they would hire a person, and it gives their team back the hours they spend on reactive operational work.”

What the Revefi AI DBA for Databricks Does?
The Revefi AI DBA gives a human element to agentic AI: an expert Databricks administrator working autonomously around the clock across the Databricks ecosystem, within enterprise process guidelines. Customers assign it work from Slack, Jira, or directly in the Revefi product. It executes, raises pull requests, opens tickets, tracks attribution, reports progress, and loops the team in when needed.

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The AI DBA handles:
– Performance. Job and Spark optimization through controlled experiments, slow-run investigation, and root-cause analysis of failures, skewed joins, high shuffle volume, and out-of-memory errors.
– Cost and FinOps. Continuous DBU and spend monitoring with autonomous savings actions. Cluster right-sizing, autoscaling tuning, idle and over-provisioned cluster reclamation, and tradeoffs across job clusters, all-purpose clusters, and serverless. Cost is attributed by job, cluster, user, and Databricks product category (SQL, jobs, all-purpose clusters, and predictive optimization) for chargebacks and showbacks.
– Operations. Cluster and configuration management, job consolidation, removal of redundant jobs, and continuous tuning across workspaces.
Governance. User and role management, access reviews, and table-level usage auditing that attributes compute cost to individual users.
Agentic workflow. Finds and creates work for itself to keep improving the platform. Asks for approval from team members as needed. Assigns work to others. Accepts work from others via Slack, Jira, or in-product chat.
– Organizational memory. Remembers every action taken across the customer’s organization, what worked and what did not, and personalizes recommendations.

The AI DBA is powered by RADEN, Revefi’s underlying agent. Unlike platform-native agents, Revefi is aligned with the customer’s goal of reducing cloud data spend; it carries persistent organizational memory across actions; and it operates across multiple data platforms, viz., Databricks, Snowflake, Google BigQuery, and more rather than inside a single vendor’s walled garden.

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VitaMail Launches V5, Introducing an All-in-One Email Campaign Workflow Platform

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VitaMail Launches V5, Introducing an All-in-One Email Campaign Workflow Platform

VitaMail | LinkedIn

V5 brings AI-assisted onboarding, campaign generation, lead targeting, inbox management, and automated warmup in a single workflow

VitaMail today announced VitaMail V5, a major update that expands the platform into a full email campaign workflow system. The release builds on VitaMail’s existing capabilities in email verification, domain health monitoring, and list management, adding AI-assisted onboarding, campaign creation, lead targeting, inbox connection, and sending infrastructure.

Before V5, we had to use separate tools for lists, campaigns, and sending. Now everything is in one place, which makes it easier to launch campaigns and keep them on track”

— Jane, Business Owner

The platform is designed for SMBs, marketing teams, CRM teams, and agencies looking to manage outreach from a single system.

The V5 workflow follows a structured path: Website Input → Campaign Setup → ICP and Lead Matching → Inbox Connection → Warmup → Sending.

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VitaMail V5 brings the full outreach process into a single system. The platform allows teams to create campaigns, define target audiences, identify leads, connect inboxes, and manage sending within one environment. Business details captured during onboarding carry through to every campaign, so setup does not need to be repeated.

With V5, VitaMail moves beyond email deliverability and covers the entire outbound email process.

How the Workflow Works

VitaMail V5 is built around a single workflow, where each part of the campaign is handled in one place:

1. AI-assisted onboarding and Campaign Setup

During onboarding, VitaMail collects business information by scanning the company’s website. The platform extracts details such as services offered, positioning, and tone, and saves them to the workspace. This context is editable at any time through workspace settings.

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When a new campaign is set up, the user selects a campaign goal, such as promoting a product, reaching new subscribers, or following up with prospects, along with the specific product or service involved.

2. Targeting and Lead Sourcing

Based on the campaign inputs, VitaMail V5 generates an ideal customer profile that includes relevant roles, industries, and company types. Profile suggestions can be adjusted before moving forward.

Users can upload their own contact lists or use leads suggested by VitaMail. Suggested leads are pulled from LinkedIn-based data and matched to the selected audience.

3. Inbox Management and Smart Sending

Users can connect email accounts, including Gmail and Outlook, and manage them inside VitaMail V5. Multiple inboxes can be handled in one place, with sending activity and inbox status visible.

For new inboxes or domains, VitaMail runs a warmup process in the background. Sending volume increases gradually to build and protect sender reputation. Once ready, campaigns are sent on a controlled schedule.

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Transmit Selected for Google Ad Manager Technology Partner Program

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Transmit Selected for Google Ad Manager Technology Partner Program

Transmit logo

Collaboration enables Google Ad Manager streaming clients to activate dynamic in-moment ad inventory across live and on-demand video

Transmit, the leading technology platform for creating and delivering in-stream advertising experiences across premium streaming video, today announced it has been selected for the Google Ad Manager Technology Partner Program, enabling streaming media clients using Google Ad Manager to activate dynamic in-moment advertising inventory across live and video-on-demand programming.

Being selected for the Google Ad Manager Technology Partner Program…gives Google Ad Manager streaming clients a clear way to activate in-moment inventory across live and VOD.”

— Scott Young, Co-Founder at Transmit

The collaboration connects Transmit’s in-moment inventory creation capabilities with Google Ad Manager’s programmatic pipes, giving streaming publishers a way to create new advertising supply inside the stream.

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“Streaming publishers are looking for new ways to create monetizable inventory without simply adding more traditional ad breaks,” said Scott Young, Co-Founder and Chief Product Officer, Transmit. “Being selected for the Google Ad Manager Technology Partner Program is an important step for Transmit because it gives Google Ad Manager streaming clients a clear way to activate in-moment inventory across live and VOD.”

Transmit’s technology supports in-stream ad formats including L-Bar squeeze and picture-in-picture video, delivered through server-side ad insertion. These formats are designed to help media companies create additional monetization opportunities within the viewing experience, rather than relying only on traditional ad breaks.

The Google Ad Manager Technology Partner Program helps publishers identify certified partners that provide technology and integration services for Google Ad Manager. As part of the program, Transmit will be listed on the Google Ad Manager Help Center, making it easier for publishers to discover Transmit when evaluating monetization and ad serving solutions.

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For streaming publishers, the collaboration creates a path to turn moments within live and VOD programming into programmatic advertising supply. For advertisers, it opens access to in-moment streaming inventory that can be transacted programmatically through Google Ad Manager workflows.

Transmit will share additional information about the collaboration through approved Google Ad Manager Technology Partner Program materials and upcoming partner communications.

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LinkSquares Announces General Availability of All-Agentic CLM Platform

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LinkSquares Announces General Availability of All-Agentic CLM Platform

LinkSquares Strengthens Commitment to Transforming Contract Management with AI Engine, LinkAI

LinkSquares expands access to its AI-native platform to help legal and business teams agree faster, move together, and put contract intelligence to work

LinkSquares, the leading AI-powered contract lifecycle management (CLM) platform, announced the general availability of its new all-agentic CLM platform, delivering a dramatically higher level of customer value across business teams to surface critical insights, manage obligations, track renewals, all with full auditability, governance and control.

“We chose LinkSquares because we needed more than a replacement CLM. We needed a platform that could bring more accuracy, structure, and visibility to a complex contract environment. AI extraction and easier access to contract data were important factors in our decision,” said a customer already using the new platform.

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LinkSquares’ all-agentic platform brings every agreement into one connected system, closing the loop between post-signature intelligence and pre-signature work. Legal and business teams can use what they have already agreed to in order to guide new requests, accelerate review, prioritize by risk and value, and surface obligations before they become blockers.

“AI is fundamentally changing the value customers expect from software, and CLM is at the forefront,” said Bill Hewitt, CEO of LinkSquares. “Our Agentic Platform enables rapid automation and deployment specific to the needs of each business. We rebuilt LinkSquares from the ground up to give organizations more value faster while moving in agreement, setting a new standard for CLM.”

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Since launch, customers across industries have deployed the platform to streamline intake, accelerate contract review, and act on post-signature commitments faster than before. Early users have reported significant time savings across the full contract lifecycle from intake, review, negotiation, and post-signature analysis.

LinkSquares will continue expanding the platform’s agentic capabilities, from custom AI agents to new platform integrations with LLMs and MCPs, making it easier for teams to connect contract data, automate high-value work, and act on agreement insights across the business.

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CB Insights and Glean Partner to Bring Private Company Intelligence Into Enterprise AI Workflows

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CB Insights and Glean Partner to Bring Private Company Intelligence Into Enterprise AI Workflows

CB Insights to Add Market Intelligence to Microsoft 365 Copilot

CB Insights data is now available across Glean’s Work AI platform, helping teams combine trusted external market intelligence with internal company knowledge

CB Insights, the leader in predictive intelligence on private companies, today announced a partnership with enterprise AI leader Glean to make CB Insights’ validated private company data and market intelligence available across Glean’s AI platform.

Through the integration, teams using Glean can access CB Insights’ proprietary data on private companies, funding activity, market trends, competitive landscapes, Mosaic™ scores, and analyst research directly within their AI workflows. This allows users to ask questions in natural language and receive answers that combine Glean’s internal company knowledge with CB Insights’ trusted external market data.

The partnership begins with the launch of Glean for Financial Services, which addresses a growing challenge for financial institutions: AI tools are only as useful as the information they can access. Glean helps organizations securely use their internal data, documents, and knowledge. CB Insights adds an additional external layer: validated information on private companies, investors, markets, and emerging technology trends.

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“Companies are increasingly using AI to make faster decisions, but the quality of those decisions depends on the quality of the data behind them,” said Karl Kong, CEO of CB Insights. “Glean brings together the internal knowledge teams rely on every day. CB Insights complements that with trusted external data on private companies, markets, and technologies. Together, we’re helping customers get better answers, faster, in the workflows where they already live.”

With CB Insights available in Glean, investors can more easily answer questions such as which private companies are gaining traction in a market, how a sector is evolving, where funding is flowing, and which competitors or partners may be worth watching. Instead of switching between tools, teams can bring CB Insights’ external intelligence into the same AI workspace they use to search and analyze internal information.

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“CB Insights is a leader in private company intelligence, and trusted by the largest financial institutions in the world, including many clients we share,” said Zubin Irani, VP of Partnerships, Glean. “By making CB Insights available across Glean’s enterprise AI platform, our customers can combine deep external market intelligence with their own internal context to accomplish meaningful work and make better decisions.”

The two platforms use model context protocol (MCP), an open standard for connecting AI with data sources. This reflects CB Insights’ continued focus on making its data available where customers already work. By integrating CB Insights’ validated external intelligence with Glean’s enterprise AI platform, organizations can bring stronger context to research, strategy, diligence, business development, and other high-value workflows.

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Backlight Brings Studio-Grade Content Security to Iconik Proxy Workflows Using Castlabs’ Stardustmark and Drmtoday

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Backlight Brings Studio-Grade Content Security to Iconik Proxy Workflows Using Castlabs’ Stardustmark and Drmtoday

Castlabs GmbH – Connect

Castlabs and Backlight announced an integration that brings Castlabs’ cloud multi-DRM service, DRMtoday, and single-frame forensic watermarking technology, STARDUSTmark, into Backlight’s Iconik, the creative operations and media asset management (MAM) platform, making Iconik the first of its kind to support frame-accurate forensic watermarking.

The integration automatically applies protection to proxy media generated in Iconik, helping studios, broadcasters, sports-rights holders, production teams, and post-production facilities secure creative workflows before content reaches distribution. Proxy files can be protected with DRMtoday-backed playback authorization and access enforcement. STARDUSTmark embeds imperceptible forensic watermarks that support leak tracing back to individual assets and sessions, even if only a single frame leaks.

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Closing the proxy security gap

Proxy files are essential to modern production, powering editing, review, approvals, localization, vendor collaboration, and remote post-production. Yet these files often move through distributed creative workflows without the same level of protection that mezzanine or distribution assets receive.

By bringing DRM and forensic watermarking directly into Iconik, Castlabs and Backlight help close that security gap while preserving the speed, visual fidelity, and flexibility creative teams expect. STARDUSTmark is designed for modern production workflows, combining lightweight, low-latency watermark embedding with single-frame forensic extraction — avoiding both the long clip dependency of traditional watermarking approaches and the processing overhead often associated with current AI-based watermark embedding models, which can introduce more disruptive visible artifacts within creative and editorial workflows.

“Proxy media is central to modern production workflows, and proxies move through more hands than any other file in the pipeline. But they have not always carried the same level of protection as final distribution assets,” said Rory McGregor, SVP Studios at Backlight. “By integrating DRMtoday and STARDUSTmark into Iconik, every proxy carries DRM and a single-frame forensic watermark by default, so the working copy is protected. Plus, we’re giving customers an easy way to protect and trace content directly within the asset management and collaboration workflows they already use.”

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“Creative collaboration shouldn’t create security blind spots,” said James Hynard, Business Development Manager for Content Distribution and Security at Castlabs. “Together with Backlight, we’re extending DRM enforcement and forensic traceability into the proxy workflows where valuable content is reviewed, shared, and shaped. This helps teams protect content consistently from the earliest stages of handling, without adding friction to the creative process.”

Built into the workflow

The integration operates natively within Iconik’s cloud media management environment and is designed to require no change to existing collaboration processes. Users continue working with proxy media as usual, while content protection is applied automatically as part of the workflow.

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Innovative Solutions Releases DarcyIQ Anywhere to Connect Amazon Quick, Claude, and ChatGPT to Enterprise Context

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Innovative Solutions Releases DarcyIQ Anywhere to Connect Amazon Quick, Claude, and ChatGPT to Enterprise Context

Innovative Solutions – Taylor Dean

New release delivers governed organizational knowledge through open MCP standards through Customer Intelligence, Project Portal, and Cognitive Equivalent Time reporting

Innovative Solutions, the fastest growing Amazon Web Services (AWS) Premier Tier Services Partner that delivers AI and data services to growing businesses, announced the general availability of DarcyIQ® Anywhere, a new capability that delivers DarcyIQ’s curated and governed organizational context into the AI productivity tools organizations already use, including Amazon Quick, Anthropic Claude, and OpenAI ChatGPT.

The company also announced three major platform additions to DarcyIQ: Customer Intelligence, Project Portal, and Cognitive Equivalent Time (CET) reporting. This marks the largest expansion of the platform to date. With this release, DarcyIQ serves as the context layer behind any AI assistant an enterprise chooses to deploy.

“Every company is picking an AI assistant right now, whether that’s Quick, Claude, or ChatGPT, and they should get to make that choice on their own terms,” said Justin Copie, CEO of Innovative Solutions. “What no assistant can do out of the box is know your business. Your customers, your projects, your meetings, the decisions you made six months ago and why you made them. That’s DarcyIQ’s job. With DarcyIQ Anywhere, the assistant your team already uses gets all of that context the moment it needs it. We’re not trying to win the chat window. We’re making sure whatever is in the chat window actually knows what it’s talking about.”

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Your Context, In Every Tool

DarcyIQ captures and curates what an organization knows: meeting intelligence, project history, requirements, documents, knowledge bases, and structured data. Role-based access controls, content policies, and audit logging govern all of it. DarcyIQ Anywhere exposes that knowledge through the open Model Context Protocol (MCP), so any MCP-compatible AI tool can draw on it in real time.

An Amazon Quick user can ask about the status of a customer engagement and get an answer grounded in every discovery call, requirement, and deliverable on record. A ChatGPT user can generate a proposal informed by the company’s actual delivery history. An engineer working in a coding assistant with Claude Code can check a pull request against requirements captured in a discovery meeting months earlier. DarcyIQ’s permissions travel with the context, so organizations control what each tool and each user can see.

DarcyIQ Anywhere builds on DarcyIQ MCP Studio, the platform’s managed MCP development and hosting capability. In the future, DarcyIQ Anywhere will support server-side agent invocation, which will let external tools call DarcyIQ agents that run complete multi-step workflows in the cloud and return finished results.

“Amazon Quick gives every employee an agentic teammate, and the quality of that teammate’s work depends on the quality of the context behind it,” said Jeff Valentine, President of Innovative Solutions. “Quick is built on open standards like MCP so partners can extend it. When DarcyIQ delivers curated, governed organizational context into Quick, those deployments become more valuable from day one. It’s a great example of how AWS partners and Quick are better together.”

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Three New Capabilities To Support Service Providers and B2B Organizations

  1. Customer Intelligence: Turn Every Account Into a Managed Account

    Customer Intelligence gives every customer account a living profile kept current by an AI Account Management Agent that works on the schedule set by each organization. The agent researches each account using linked projects, the public web, and connected business systems. It records evidence-cited signals, raises early alerts on at-risk accounts, and surfaces cross-sell, upsell, renewal, and expansion opportunities. Each opportunity is typed, confidence-rated, and paired with a recommended next action.

    DarcyIQ also now provides organizations with configurable health scores, a confidence-weighted opportunity pipeline, and a portfolio-wide command center, which gives account managers, sales leaders, and executives one live, honest picture of the entire book of business. Customer Intelligence sits alongside an organization’s CRM, which remains the system of record, and winning opportunities can be promoted directly toward it.

    “The easiest revenue for any services business is sitting inside the accounts it already serves,” added Copie. “The problem has never been willingness. It’s attention. Nobody can watch every account every day. Now an agent does, and your team just has to act on what it finds.”

  2. Project Portal: Bring End Customers Into the Delivery Experience

    Built specifically for service providers, the new Project Portal lets DarcyIQ customers extend secure, role-based access to a dedicated portion of the platform for their own clients. End customers can participate directly in the delivery process by providing additional context, answering questions and sharing feedback, tracking project progress and milestones in real time, and communicating with their delivery team. The portal replaces status meetings and lengthy email chains with a single shared view of the engagement, while DarcyIQ permission model ensures providers maintain control over what each customer can view and control.

  3. Cognitive Equivalent Time: Measure What Agentic Delivery Is Worth

    Agentic AI now performs work in minutes that would take a person days, but that contribution leaves only operational traces such as tokens, tool calls, and delivered files. It never shows up as logged hours. Cognitive Equivalent Time (CET) reporting now, built into DarcyIQ, converts that agentic work into the human-equivalent hours it represents, using conversion rates grounded in published research and a methodology built to be conservative at every step. The result is a defensible view of the time and money agentic delivery absorbs on every engagement and across the portfolio. That figure is what allows services organizations to protect margin and effective bill rates as they adopt AI.

    The full CET methodology is documented in the white paper, “Cognitive Equivalent Time: A unit for the human work displaced by agentic AI,” which is available at darcyiq.com/cetwhitepaper.

    “Service providers in our ecosystem are all asking the same question: how do we grow without growing headcount in lockstep?” said Willie Cash, Sr. Director, AWS Cloud at TD SYNNEX. “DarcyIQ is one of the clearest answers we’ve seen. It plugs into the AWS programs partners already rely on, it works alongside the AI assistants their customers are adopting, and with Cognitive Equivalent Time reporting it shows partners, in hours and dollars, what agentic delivery is actually worth. That’s a powerful story for any partner building a modern services practice.”

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Agent as a Service: QualityWorks Launches the Future of Small Business Growth

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Agent as a Service: QualityWorks Launches the Future of Small Business Growth

QualityWorks

QualityWorks today launched its AI Agents Marketplace, an Agent as a Service (AaaS) platform that lets small businesses and startups select, deploy, and scale AI agents at a predictable monthly cost—fully configured for their workflows and managed by the QualityWorks team.

The marketplace offers 23 ready-to-configure AI agents across sales, customer support, marketing, operations, finance, and admin—available individually or as purpose-built packages. Teams can build an AI workforce in days, not months, with no in-house AI expertise required.

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The Business Case
Research shows 77% of businesses using AI report increased productivity, 43% report higher revenue, and 28% report lower operating costs. Yet most small businesses have been locked out of these gains—priced out of enterprise implementation cycles and without the capital or technical staff AI adoption has traditionally demanded.

“Agentic AI now allows organizations to stay lean and build for scale without the need for capital raises or outside investment. Teams can grow their AI workforce in a matter of days, with AI experts handling the strategy and management. This is especially critical for small businesses and startups that lack funding.”
— Shantel Stewart-Gayle, Product Manager, QualityWorks

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Leveling the Playing Field
For resource-constrained founders, the question is no longer when they can afford to hire—it’s which agents can fill the gaps that funding doesn’t cover. Many entrepreneurs continue working full-time while building their vision, stretched across every business function with no relief in sight. Agent as a Service was designed for them.

“Too often, founders with great ideas never get to take their vision to the next level because of funding. I’m excited about how Agentic AI can level the playing field—where intelligent AI usage can create billion-dollar organizations with extremely lean headcount.”
— Stacy Kirk, CEO, QualityWorks

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Appspace Brings Enterprise AI Choice to the Workplace with Bring Your Own Model

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Appspace Brings Enterprise AI Choice to the Workplace with Bring Your Own Model

Appspace Logo

New capability lets organizations use the AI models they already trust while maintaining control over data, governance, and cost.

Organizations are investing heavily in AI, but many are finding themselves locked into vendor-selected models, fragmented tools, and rising costs. Appspace introduced Bring Your Own Model (BYOM), a new capability that allows enterprises to connect the AI models they already trust directly to the Appspace platform.

Appspace will showcase BYOM at InfoComm 2026, which begins tomorrow.

With BYOM, organizations can apply AI across employee communications, knowledge discovery, workplace services, space reservation, visitor management, and other employee and workplace experiences from a single platform.

While many workplace AI offerings focus primarily on chat and content generation, Appspace applies AI across the workplace experience, from communications and knowledge discovery to employee services, space reservation, and workplace workflows.

“Most organizations already have a preferred AI strategy, whether that’s Microsoft, Google, or another provider,” says Carolyn Voelkening, Chief Delivery Officer at Appspace. “BYOM allows customers to extend those investments into the workplace experience and choose the models they trust while maintaining control over security, compliance, and cost.”

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AI on the Customer’s Terms
Rather than requiring organizations to adopt a specific model or ecosystem, BYOM enables them to extend existing AI investments and provider relationships.

Because requests are routed through the customer’s own AI environment and API keys, organizations maintain control over data governance, provider agreements, compliance requirements, and usage costs. This flexibility allows them to select the best model for each use case, from content creation and workplace insights to employee services and workflow automation.

Built for Enterprise Choice and Governance
BYOM helps organizations address some of the most common barriers to enterprise AI adoption, including governance, cost control, and vendor lock-in. Organizations can leverage existing enterprise agreements while maintaining control over policies, compliance requirements, and data governance as AI technologies evolve.

“Most workplace AI products sit on top of a single model,” Voelkening adds. “Appspace takes a different approach. We give organizations the flexibility to use the right model for the right task, whether that’s creating content, surfacing knowledge, improving employee experiences, or automating workflows. That flexibility allows customers to apply AI across the entire workplace experience. That’s what transforms AI from a chatbot into a workplace intelligence platform.”

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BYOM is part of Appspace’s broader AI strategy, which also includes MCP-based integrations that connect AI assistants to enterprise systems and workplace workflows. Together, these capabilities help organizations move beyond AI-powered answers to AI-powered actions across the workplace.

Appspace BYOM will support Microsoft Azure OpenAI, Azure AI Foundry, and Google Gemini at launch, with additional models planned. InfoComm attendees can visit the Appspace booth C7228 (Central Hall) to see Appspace Intelligence in action and learn more about the new Bring Your Own Model (BYOM) capability.

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Ecer.com Reshaping the New Mobile Cross-Border B2B Ecosystem

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Ecer.com Reshaping the New Mobile Cross-Border B2B Ecosystem
Ecer.com Reshaping the New Mobile Cross-Border B2B Ecosystem

Ecer Technology- Google Global Premier Partner，focus on foreign trade promotion, digital marketing, Google promotion, search engine optimization.

Under the traditional foreign trade model, cross-time-zone communication, repetitive email exchanges and time-consuming offline factory audits frequently led to prolonged decision-making cycles and exorbitant communication costs. However, the ubiquity of the mobile internet is completely rewriting this landscape.
Latest trends indicate that over 70% of international buyers have adopted mobile phones as their primary tool to search for suppliers, initiate inquiries and even complete remote factory audits. Adapting to this shift, Ecer.com (www.ecer.com), a leading global mobile foreign trade B2B marketplace, continuously drives technological upgrades to propel cross-border transactions into a new era of highly efficient, “Anytime, Anywhere” collaboration.

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Mobile-Driven Efficiency Leaps
“Immediate access to business opportunities” is rapidly becoming the new normal in foreign trade. Powered by ECER comprehensive mobile capabilities, buyers can use their smartphones to instantly initiate video factory tours and communicate product details online. Concurrently, the platform’s AI inquiry system supports real-time, multi-lingual interactions, effectively dismantling communication barriers.
The waiting periods and uncertainties once caused by time zones have been transformed into round-the-clock, 24/7 active business connections. From initial inquiry to final conversion, the entire transaction chain has been significantly compressed, simultaneously boosting enterprise response efficiency and conversion capabilities.

Technology-Empowered Trust Upgrades
In cross-border B2B transactions, trust remains the core variable. To address the high costs and lengthy periods associated with traditional factory audits, ECER has introduced a Mobile Panoramic Factory Audit Solution.
Via a smartphone, buyers can achieve a 360° real-time view of the factory environment. Combined with VR technology for immersive observations of production lines and product details, a factory audit process that previously required several days is now condensed into just a few hours. Technology does not just close geographical distances, it reconstructs the very foundation of transaction trust through information transparency.
Case Study: Take Shenzhen Calinmeter Co,.LTD as an example. A Germany buyer harbored doubts regarding the factory’s scale and production capacity after preliminary discussions.
Utilizing ECER mobile panoramic factory audit feature, the enterprise quickly initiated a live video stream for the client, guiding them through the production workshops, testing procedures, and warehouse management, while explaining intricate product structures via VR displays. The entire process took less than 2 hours. The client successfully transitioned from “preliminary understanding” to “deep trust” and confirmed their first batch of orders within the same week.
Through mobile and visual technologies, enterprises not only drastically improve communication efficiency but also build trust within a shorter timeframe, accelerating cross-border transaction decisions.

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Building a Full-Chain Transaction Closed Loop
Distinct from single-function information matching platforms, ECER is accelerating its evolution into an integrated digital trade platform. Key links-ranging from inquiry acquisition, collaborative communication and remote factory audits to logistics tracking are now seamlessly connected on the mobile end.
The integrated application of technologies like AI, VR, real-time interaction and live streaming makes cross-border transaction flows clearer and more efficient. This significantly reduces the complexity enterprises face in global collaboration, empowering supply chains to respond to market changes with greater agility.

Foreign Trade Enters the “Always Online” Era
As “Mobile-First” becomes the definitive industry consensus, the workspace for foreign trade is no longer confined to traditional offices, but extends to any space with network connectivity.
By deeply integrating mobile technology with intelligent capabilities, ECER assists enterprises in achieving instantaneous responses and precise matching. Against the backdrop of increasingly fierce global trade competition, “Always Online” is emerging as a new core competitiveness, while mobilization and digitalization are comprehensively redefining the growth path of cross-border B2B trade.

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Movable Ink Launches Programmatic CRM With AI Agents for Personalized Content Creation and Customer Engagement

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Movable Ink Launches Programmatic CRM With AI Agents for Personalized Content Creation and Customer Engagement

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Movable Ink, the AI-powered personalized content platform, announced Programmatic CRM, a new set of AI and Agentic capabilities that improve marketers’ ability to design and deliver real-time, personalized customer experiences across email, mobile, and web.

The launch expands Movable Ink Studio and Da Vinci with innovations that help brands scale dynamic content creation, streamline campaign production, and optimize engagement across channels.

“The future of marketing isn’t marketers building more campaigns. It’s marketers building and managing systems that make millions of decisions automatically,” said Movable Ink’s CEO Adam Stambleck. “Campaigns will give way to always-on decisioning, segments will give way to individuals, and manual workflows will give way to marketers working with AI agents. Programmatic advertising transformed paid media; Programmatic CRM brings that same model to owned channels, helping marketers move from managing campaigns to managing intelligent systems that continuously learn and optimize outcomes.”

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Da Vinci Mobile Extends AI Decisioning Beyond Email

  • Building on Movable Ink’s programmatic approach to email, Da Vinci Mobile extends Movable Ink’s AI decisioning to SMS and push notifications, enabling marketers to optimize mobile content using email engagement insights and AI model learnings.
  • Marketers can quickly adapt existing email creatives for mobile channels without additional production overhead while maintaining unified workflows, reporting, and analytics across campaigns.

Studio Designer Assistant Simplifies AI Personalization

  • The new Studio Designer Assistant uses conversational AI to help marketers create custom properties and dynamic text without technical expertise. Movable Ink has also taken a programmatic approach to rendering real-time content. Now, we are making this easier than ever with no-code with the Designer Assistant.
  • Using natural language prompts, teams can generate AI-powered properties that support personalized creative variations directly within campaign workflows, reducing production bottlenecks and accelerating deployment.

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Introducing Studio Web: Personalized Web Experiences Powered by Real-Time Data

  • Movable Ink is aiming to bring the programmatic CRM approach to all owned channels, including Studio Web, enabling marketers to transform customer data into tailored web experiences across landing pages, banners, tiles, modules, and interstitials.
  • Brands can now recreate high-performing email and mobile personalization tactics within inbound web experiences, including countdown timers, weather-triggered content, live polls, scratch-offs, personalized imagery, store locators, loyalty progress indicators, and behavioral product grids.
  • Studio Web integrates with leading platforms, including Adobe, Sitecore, WordPress, and more.

With Programmatic CRM, Movable Ink continues to advance enterprise AI personalization, helping brands deliver more connected, relevant customer experiences at scale.

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Seamless Launches AI Campaigns, Putting an AI Personalization Engine Inside Every Sales Sequence

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Seamless Launches AI Campaigns, Putting an AI Personalization Engine Inside Every Sales Sequence

Seamless - AI B2B sales lead platform | BizEquals

Working inside every step of a sales sequence, the new AI Campaigns engine from Seamless writes a unique email, call script, and social message for each prospect, giving every seller the relevance of one-to-one research at the scale of automated outreach.

Seamless, the real-time B2B sales intelligence platform used by more than two million sales and marketing professionals, today launched AI Campaigns, an AI engine that generates a uniquely personalized message for every contact at every step of a sales sequence, across email, phone, and social. The feature is available now to all Seamless users.

For a decade, sales teams have faced an impossible trade-off: personalize or scale. A rep could research a prospect and write something genuinely relevant, or they could blast a templated “Hi {first_name}” to thousands and hope. They could not do both. AI Campaigns ends that trade-off.

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The timing matters. Industry benchmarks now put the average B2B cold-email reply rate at roughly 3.4%, down from 5.1% as inboxes get noisier and filters get tighter. Yet messages personalized beyond a first name consistently reply at two to five times that rate, and only about 5% of senders personalize every message, because deep personalization has never scaled. AI Campaigns are built to close exactly that gap.

Brandon Bornancin, CEO of Seamless says, “what used to take hours of manual digging per prospect now happens automatically across every email, call, and social touch, putting hyper-personalized, revenue-driving outreach within reach of companies of all sizes, not just the enterprise.”

Instead of drafting copy one prospect at a time, a user describes the message once, including the goal, the tone, and the talking points, then saves it as a reusable AI prompt. Seamless then writes a distinct, hyper-personalized message for each contact, drawing on that person’s real record and company data. The same prompt powers a multi-step, multi-channel sequence to thousands of prospects, with every touch tailored to the individual’s role, business, and pain points.

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“Buyers stopped responding to spray-and-pray a long time ago. They respond when a message proves the sender actually understands their business,” said Jonathan Pogact, VP of Marketing at Seamless. “The reason most teams don’t deliver that is math: nobody can hand-write a thousand relevant emails a week. AI Campaigns changes the math. Your best rep’s winning approach becomes the prompt the whole team runs, relevance goes up, reply rates go up, and output multiplies without adding headcount.”

With AI Campaigns, revenue teams can:

  • Generate a unique, contact-specific message for every prospect, not a merge-tag swap, from their own record and company data
  • Save best-performing prompts to a reusable library and standardize top-rep messaging across the team
  • Apply a single prompt across an entire multi-channel sequence, with email, call, and social support
  • Automate AI-written messages on automated steps, or review, edit, and approve them on manual steps
  • Multiply output and campaign volume without adding headcount or sacrificing relevance

AI Campaigns is available now to all Seamless users inside Seamless Connect: on the Content page, within any email step of the campaign builder, and when composing individual emails. Support for AI-written call and social selling next steps is rolling out next, extending the same engine across the full sequence.

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Adstra Named Launch Partner for Databricks CustomerLake, Bringing Identity Resolution to the Heart of the Agentic CDP Era

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Adstra Named Launch Partner for Databricks CustomerLake, Bringing Identity Resolution to the Heart of the Agentic CDP Era

Adstra’s Conexa platform serves as an identity resolution layer within the new Agentic CDP built natively inside Databricks

Adstra, a leading identity resolution and data solutions provider, announced its role as a launch partner for Databricks CustomerLake, a new agentic Customer Data Platform (CDP) built natively on Databricks. Adstra’s Conexa identity resolution platform serves as an identity layer within CustomerLake. Brands can now build more complete, trusted customer profiles without moving data out of the governed environment where it already lives.

Adstra and Databricks help joint customers by resolving identities and enriching governed first-party data with third-party signals. CustomerLake gives marketing and data teams agentic interfaces to unify data, automate campaigns, and personalize experiences. Adstra helps improve profile quality, segmentation, and privacy-first engagement at scale.

Adstra’s Conexa platform connects directly to this foundation. It resolves identities across offline and online signals with high match rates, enriches profiles with third-party signals under strict privacy and compliance controls, and feeds cleaner data upstream into every downstream activation. Segmentation sharpens, waste drops, and engagement becomes a known quantity, not a guess.

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CustomerLake is designed to work with an open partner ecosystem across identity, enrichment, activation, measurement, and customer experience, helping enterprises move faster without creating new data silos or adding unnecessary vendor complexity.

“Despite a decade of innovation in data platforms and AI, turning customer data into business value remains one of the hardest challenges for enterprises,” said Tasso Argyros, VP Engineering at Databricks. “CDPs helped establish the importance of unified customer data, but the AI era requires a new approach — one where customer intelligence is built directly into the governed data foundation and agents help transform raw customer data into business-ready insights, decisions, and experiences. Our launch of CustomerLake brings this Agentic CDP vision to life, helping marketing teams finally unlock 1:1 personalized customer engagement at scale.”

The integration is available today. Together, the platforms deliver:

  • Native identity resolution within the governed data layer, eliminating the need to import records from external silos or reconcile duplicate data
  • In-environment data enrichment, combining first-party data with third-party signals without moving data outside existing privacy controls
  • AI agents that automate action, converting customer data into campaign decisions rather than static reporting
  • A composable architecture designed to integrate with existing marketing and data stacks

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“Most enterprises still struggle with the same core problem: their identity layer doesn’t actually resolve the customer. Either the CDP can’t accurately connect identities, or the solution operates as a black box with limited transparency and control,” said Rick Erwin, CEO of Adstra. “CustomerLake changes that by building customer intelligence directly where the data already lives. With Conexa embedded natively as an identity layer, marketers and AI agents can operate from the same trusted customer understanding — enabling smarter decisions, better personalization, and stronger outcomes together.”

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Bloomreach Deepens Partnership With Databricks, Extending AI Personalization Across Email, Web, and More Through New CustomerLake Integration

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Bloomreach Deepens Partnership With Databricks, Extending AI Personalization Across Email, Web, and More Through New CustomerLake Integration

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Bloomreach, the AI company for personalization, announced it is a launch partner for Databricks CustomerLake, a new agentic Customer Data Platform (CDP). The announcement reflects Bloomreach’s broader investment in the Databricks platform, which extends to new insight capabilities being built into its Loomi marketing agent. Together, the companies are making scaled 1:1 personalization possible for every marketer, offering a direct path from unified customer data to real-time, personalized execution across the channels that matter most.

“From web to email to AI conversations, marketers need the ability to personalize customer engagement where the stakes are highest,” said Anirban Bardalaye.

“From web to email to AI conversations, marketers need the ability to personalize customer engagement where the stakes are highest,” said Anirban Bardalaye, Chief Product Officer, Bloomreach. “CustomerLake gives our agentic platform, Loomi, the governed enterprise data foundation it needs to personalize every channel, without any tradeoffs between data quality and speed. Add the real-time behavioral signals Loomi builds into every interaction, and personalization compounds — each engagement more relevant than the last.”

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Most enterprise marketing teams sit downstream from their own data. Customer profiles live in one system, campaign execution happens in another, and the gap between them costs time and accuracy. CustomerLake closes that gap by bringing CDP capabilities directly into Databricks, where customer context, AI models, and governance already live — without duplicating sensitive data or creating new silos. Loomi extends it to execution, so a unified customer record built in CustomerLake can immediately power a personalized campaign activated by Loomi across email, web, SMS, and more.

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Campaigns are further optimized by Loomi’s commerce-specific artificial intelligence, trained on more than 12 years of interaction data from the world’s largest ecommerce brands. The integration with CustomerLake connects this commerce expertise directly to the governed data and AI foundation where enterprises already manage their customer intelligence.

“Our customers are asking for simple and scalable ways to combine and activate otherwise siloed customer data into personalized, intelligent experiences alongside the myriad of tools they already use,” said Stephen Orban, SVP Product Partnerships and Ecosystem at Databricks. “Databricks has always been built on openness and customer choice, and partners have a significant opportunity to integrate directly with CustomerLake to meet customers where their data and agents already live and deliver the next generation of marketing solutions on a unified foundation.”

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Siemens partners with Databricks and FFT to turn production data into scalable AI-driven insights

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Siemens partners with Databricks and FFT to turn production data into scalable AI-driven insights

Corporate information | Siemens

  • Siemens Industrial Edge and FFT DataBridge connect shopfloor and plant data directly to the Databricks Platform – no IoT middleware required

  • New edge to cloud connectivity offers scalable advanced analytics and a unified, AI‑ready production data foundation

  • Industrial customers can optimize their operations, reduce costs and increase productivity

Siemens announced a new edge-to-cloud integration with Databricks, the Data and AI company, and long‑time automation partner FFT Produktionssysteme GmbH (FFT). Together, the partners will connect production data directly to enterprise AI – without complex IoT middleware. This will help industrial customers transform their production data into actionable insights and scale industrial AI across global operations.

With the new integration, customers are able to stream contextualized shopfloor and plant data from Siemens Industrial Edge via the FFT DataBridge directly to the Databricks Platform, where it can be analyzed and used to train AI models centrally for implementation across global production networks. These models can then be deployed back to the edge for execution at the point of production. This approach helps industrial companies optimize their operations, reduce costs and increase productivity with low‑latency, data‑driven decision‑making. It lays the foundation for physical AI and future autonomous operations.

Siemens Industrial Edge enables customers to deploy and manage edge devices and apps on the production site. The app ecosystem allows seamless connectivity to industrial assets, IT systems and the cloud.

“Industrial AI only delivers value when data, context and execution come together,” said Rainer Brehm, COO Automation and CTO at Siemens Digital Industries. “With Databricks and FFT, we enable our customers to scale industrial AI across factories and plants and make AI-powered production real.”

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Operationalizing Industrial AI with seamless IT/OT integration

With Siemens Industrial Edge and Industrial Information Hub (integration layer for industrial data), customers benefit from a secure, scalable and low-maintenance edge platform designed to unlock siloed industrial data and execute intelligent applications close to the production process. This includes advanced local analytics, physical AI and closed loop AI workflows that require low latency, high availability and strict security compliance.

Databricks complements this with advanced analytics, machine learning and agentic AI for industrial data in a cloud agnostic, governed environment with minimal infrastructure overhead. This supports a wide range of advanced use cases, including predictive maintenance, quality optimization, energy management, supply chain optimization and agentic AI applications.

“By uniting Siemens’ industrial automation and edge expertise with the Databricks Platform, we help industrial companies close the gap between industrial data and scalable business impact across their industrial network,” said Shiv Trisal, Global Industrials GTM Leader at Databricks. “This partnership is a foundational step in making human-agent collaboration a reality for industrial operations.”

Siemens Industrial Edge enables customers to deploy and manage edge devices and apps on the production site. The app ecosystem allows seamless connectivity to industrial assets, IT systems and the cloud.

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FFT DataBridge: Industrial‑grade data pipelines for adaptive production

FFT Produktionssysteme GmbH plays a key role in operationalizing the joint Siemens–Databricks architecture. As a long-standing Siemens partner with deep shopfloor expertise, FFT provides the DataBridge application that securely and efficiently connects Siemens Industrial Edge with the Databricks platform. FFT DataBridge streams contextualized, AI-ready production data from the edge to the cloud, where it can be combined with additional IT and OT data sources.

“Together with our partners Databricks and Siemens, FFT DataBridge provides a simple, powerful gateway to the cloud for more than 30,000 potential customers,” said Volker Stark, COO at FFT Produktionssysteme. It is ready to use and does not require expensive and time-intensive transformation of data. By natively bridging the gap between IT and OT, we eliminate the need for complex IoT layers and significantly simplify industrial connectivity for customers of Databricks.”

With the combined offering from Siemens, Databricks, and FFT, industrial producers can unlock AI‑ready production data, scale Industrial AI, and optimize operations across global production sites

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Framer Launches AI Agents

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Ecer.com Reshaping the New Mobile Cross-Border B2B Ecosystem

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Create, update, and maintain production websites with AI, directly inside Framer.

Framer, the professional website platform for designers, teams, and businesses, launched Framer Agents, bringing AI directly into the canvas where production websites are designed, managed, and published.

Unlike AI tools that generate static mockups, disconnected code, or throwaway prototypes, Framer Agents work inside a live Framer project. They can edit pages, components, styles, CMS content, SEO settings, and publishing workflows directly. Every change becomes native Framer work that can be inspected, refined, branched, and shipped.

That makes the workflow collaborative instead of conversational. Users can ask an Agent to generate a first version, jump into the design canvas to adjust the details themselves, then hand the work back when they want AI speed again. Agents handle the parts where AI is strongest: creating options, generating ideas, making broad updates, managing CMS content, and scaling repetitive work. People stay in control of the parts where taste, precision, and judgment matter most.

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“Most AI design tools give you output you can’t really edit unless you can code. Framer Agents work more like a senior designer would: directly on the canvas, taking turns with you until the site feels right.” — KOEN BOK, CO-FOUNDER AND CEO

Framer Agents can help across the full website workflow: building new sites and pages, generating layouts, updating existing pages, writing copy, managing CMS content, adding SEO metadata and alt text, creating code components, making layouts responsive, and auditing for broken links, accessibility issues, low contrast, and inconsistent styles. In practice, Perplexity built their entire site with zero developers, and Superhuman now completes 85% of site work through design and marketing alone.

The launch introduces External Agents, letting users connect AI tools they already use, including Claude Code, Codex, Cursor, and Gemini CLI, directly into Framer. This gives users access to fast-moving model capabilities while keeping the work inside Framer’s visual, editable, publishable environment.

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Framer is launching Branching to make AI workflows practical for production sites. Users can ask Agents to make changes in a dedicated branch, review what changed, compare versions, and publish only when ready, without touching the live site.

“AI can get you to a first version fast. The hard part is getting it right. Designers point, compare, move things around, and feel when something starts to work. That doesn’t happen in a text box. The design canvas is where taste shows up, so that’s where AI needs to live.” — JORN VAN DIJK, CO-FOUNDER

The launch comes as website work becomes increasingly continuous. According to Framer’s State of Sites Report, 53% of website work is maintenance and edits, while 70% of website projects get deprioritized because they are too slow or difficult to ship. Framer Agents are designed for that reality: not only generating new sites, but helping people improve, maintain, and scale the sites they already have.

Framer is used by 188,000 companies across 200 countries, a number that grew 14x in 12 months, and powers more than four million published websites with approximately 364 million monthly active visitors. Customers including Perplexity, Miro, Cal.com, Bilt, Superhuman, Dribbble, and Zapier use Framer to move website work faster without traditional design-to-development handoffs.

The release extends beyond creation with a new Framer Community, a home for creators to share work, build reputation, and earn money through the Marketplace, galleries, awards, contests, and social features. More than 7,000 creators already sell templates and components on the Framer Marketplace. Framer paid $6.5 million directly to creators in 2025, separate from the millions more they generated through their own Framer-powered work. Framer takes no cut.

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Adeptia Strengthens Leadership Team to Meet Growing Demand for AI-Ready Data and Intelligent ETL

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Adeptia Strengthens Leadership Team to Meet Growing Demand for AI-Ready Data and Intelligent ETL

About Us - Data Integration Company | Adeptia Inc.

New executive leaders join as enterprises accelerate investments in AI-ready data infrastructure

Adeptia, the intelligent ETL platform for enterprise data automation, announced the appointment of three senior executives to support the company’s next phase of growth and innovation: Tim Bond, Chief Product Officer; Jill Ransome, Vice President of Marketing; and John Moore, Vice President of Revenue Operations. The leadership additions reflect Adeptia’s continued investment in helping enterprises modernize how they integrate, govern, and operationalize data in an AI-driven world.

Organizations in highly regulated industries are seeking modern alternatives to traditional integration and ETL approaches to support automation, AI, and digital transformation. The company’s Intelligent ETL platform creates a trusted foundation for AI initiatives by connecting data across systems, automating workflows, and improving visibility into business operations.

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Adeptia Automate enables organizations to transform complex, raw data into operational intelligence. Unlike traditional ETL, which was designed for predictable data flowing between known systems, Adeptia Intelligent ETL helps organizations manage today’s increasingly complex business data. The platform uses AI to design and optimize pipelines while applying industry-specific business rules to deliver trusted, consistent outcomes.

“As enterprises race to deploy AI, they’re discovering that success relies heavily on having trusted, accessible, and actionable data,” said Charles Nardi, CEO of Adeptia. “Our leadership will be instrumental as we continue helping organizations transform fragmented data into trusted, AI-ready information that powers automation, operational intelligence, and business growth.”

Ransome will lead global marketing strategy and execution, expanding Adeptia’s market presence and driving awareness of the company’s Intelligent ETL approach to enterprise data automation; Bond will oversee product strategy and innovation, advancing the company’s AI-native platform as the foundation organizations rely on to build, orchestrate and scale their data workflows; and Moore will lead revenue operations initiatives focused on scaling go-to-market performance, improving operational efficiency, and supporting customer growth.

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Prior to joining Adeptia, Ransome held senior marketing leadership roles across enterprise software and technology organizations, driving brand growth, demand generation, and market expansion at SaaS companies, including Jitterbit, Tangoe, and Unite Us. Bond was a senior product advisor at various software companies, including Nymbl, Jitterbit, and Zudy, bringing more than a decade of experience leading product strategy and development across data, integration, and enterprise software. Moore has extensive expertise in building scalable revenue operations functions that align sales, marketing, and customer success teams across various industries, at Intapp, Meltwater, and Nolan Transportation Group.

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Planview Closes the Gap Between Strategic Intent and Business Outcomes in the Age of AI

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Planview Closes the Gap Between Strategic Intent and Business Outcomes in the Age of AI

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Company unveils three fundamental shifts that define strategic portfolio management in the agentic era

Planview®, the leading platform that equips organizations to act decisively and close the gap between strategic intent and outcomes, introduces new capabilities for the future of AI-powered SPM. This includes the debut of the Outcome Intelligence Graph, a model of the enterprise portfolio in which every decision connects to the resources behind it and the results it produces. The Outcome Intelligence Graph addresses three imperatives that Planview sees as non-negotiable for the agentic era: every decision must drive outcomes; actions must keep pace with change; and governance must be built for speed — human and agent alike. The company has published a full vision statement on the shifts required for agentic-era strategic portfolio management from CEO Matt Zilli on its blog.

“AI does not close the gap between intent and outcome. It widens it. A misaligned decision now compounds at machine speed, at scale, before anyone sees a signal,” said Matt Zilli, Planview CEO. “This is also the moment AI can finally do what was impossible at human speed: connect strategy to execution in real time, reconcile investments to outcomes continuously, and give every leader, team, and agent the same view.”

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Introducing the Outcome Intelligence Graph

With the Outcome Intelligence Graph, leaders and AI agents reason from the same picture. The relationships inside the graph carry three decades of practitioner knowledge about how portfolios behave, finally making the hardest question answerable: did the initiative we funded deliver what we expected?

“General-purpose AI models are remarkable, but they don’t know what a $40 million program delay costs your company. Tracking workflows at the team level isn’t enough — leaders need to be able to understand the whole picture. Anvi®, powered by the Outcome Intelligence Graph, is built on 30 years of how enterprise portfolios actually behave — that’s not something you can replicate with a connector or a prompt,” said Louise K. Allen, Planview Chief Product Officer. “It’s the difference between AI that can answer questions and AI that understands the full strategic context around the work.”

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New Anvi-Powered Capabilities

Planview is also announcing new capabilities that put the Outcome Intelligence Graph to work across planning, collaboration, and the broader AI ecosystem:

  • Anvi-powered Scenario Planning addresses the need for enterprise-wide intelligence, turning days of manual spreadsheet modeling into minutes. Describe your objectives and automatically get back ranked scenarios with full tradeoff analysis across capacity, financials, and strategic fit, so leaders can understand decision tradeoffs and see what the organization can actually achieve.
  • Anvi MCP server puts the Outcome Intelligence Graph wherever your team gets work done, allowing Copilot, Claude, ChatGPT, or any enterprise agent to call Anvi directly — bringing the context of your business and Planview’s decades of practitioner knowledge into whichever AI environment your teams already use.
  • Originally launched at Planview Connect 2026, Agent Resource Management is the real-time governance plane for the agentic era, placing people and AI agents in one system to plan, govern, and optimize together — with full cost visibility on every capacity decision, automatic guardrails on agent activity, and continuous proof of which outcomes your AI investments deliver.

Together with the new Anvi Home experience — where teams build, test, and deploy agents with a curated prompt library and admin controls for distributing them across the organization — these capabilities turn the Outcome Intelligence Graph from a model into action.

“The enterprises asking, ‘how do we adopt AI faster?’ are asking the right question in the wrong order. The first question is: ‘how do we know whether our AI investments are producing the outcomes we funded them to produce?’” said Zilli. “For most organizations, no one can answer it — this is the gap strategic portfolio management was built to close.”

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Sigma Named 2026 Databricks ISV Business Intelligence Partner of the Year and Joins as Launch Partner for Lakehouse//RT, Databricks’ New Real-Time Lakehouse

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Sigma Named 2026 Databricks ISV Business Intelligence Partner of the Year and Joins as Launch Partner for Lakehouse//RT, Databricks' New Real-Time Lakehouse

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For the second consecutive year, Sigma is recognized for deepening its partnership and platform on Databricks — now spanning Lakehouse//RT, Genie Agents, Agent Bricks, and Lakebase

Databricks Data + AI Summit — Sigma, the layer to build and scale analytics, apps and agents, announced that it has been named the 2026 Databricks ISV Business Intelligence Partner of the Year at the annual Data + AI Summit, and joined as a launch partner for Lakehouse//RT, Databricks’ new real-time lakehouse. The partner award, presented for the second consecutive year, recognizes Sigma’s contributions to helping enterprise teams build and deploy AI Apps, agents, and analytics on governed enterprise data with Unity Catalog-grade security, governance, and scale—from inherited permissions to immutable audit—all on the Databricks platform.

“The hardest part of enterprise AI isn’t building the model. It’s making agents work on real business data, under real permissions, at scale. That’s exactly what Sigma and Databricks solve together.” – Mike Palmer, CEO of Sigma

The recognition comes on the heels of Sigma’s recently closed $80 million Series E, which included a strategic investment from Databricks Ventures and doubled the company’s valuation to $3 billion. Together, Sigma and Databricks have deepened their warehouse-native architecture to give business and technical teams a single governed workspace for AI Apps, analytics and automated workflows, without extracting data or duplicating governance.

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“We’re honored to receive this recognition from Databricks for the second year in a row,” said Mike Palmer, CEO of Sigma. “Sigma now connects directly to Lakehouse//RT, Agent Bricks, Genie Agents and Lakebase, so joint customers can get sub-second query performance at scale, explore billions of rows through a familiar spreadsheet interface, build agents that act on that data and manage the full agent workflow — memory, state and all — without ever leaving the governed environment they already trust. The hardest part of enterprise AI isn’t building the model. It’s making agents work on real business data, under real permissions, at scale. That’s exactly what Sigma and Databricks solve together.”

“As the race to productionize AI accelerates, customers consistently ask us how they can better manage their data in order to build AI apps and agents that make a real impact on their business,” said Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks. “As a key Databricks partner, Sigma helps our joint customers do exactly that. We’re proud to recognize them as the 2026 Databricks ISV Business Intelligence Partner of the Year.”

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New Capabilities for Joint Sigma and Databricks Customers:

Alongside the award, Sigma announced an expansion of its strategic partnership spanning the full Databricks platform. New capabilities include:

  • Sigma joins as a launch partner for Lakehouse//RT, Databricks’ new real-time lakehouse. Lakehouse//RT delivers millisecond query latency at massive concurrency on existing Delta tables, with no data movement and full Unity Catalog governance, unlocking a new class of real-time use cases for joint customers. Where high-concurrency, low-latency workloads previously required standing up external serving layers and duplicating data, Lakehouse//RT handles user-facing analytics, operational dashboards, product analytics, and AI agent-serving natively on Databricks.
  • Deeper integration with Databricks Genie and Agent Bricks. Sigma acts as the AI runtime layer that turns Databricks intelligence into governed AI Apps for every user. With Genie, business teams ask questions in natural language and build no-code agents that feed directly into Sigma AI Apps where insights become workflows without a handoff to engineering. With Agent Bricks, teams build and deploy custom AI agents grounded in enterprise data and surface them inside Sigma. From there, any user can interact with the agents, trigger automated actions and drive outcomes in a fully governed workspace. Data teams define the logic and access controls once, and everyone else operates within them with full lineage and auditability throughout.
  • First-party connectivity to Databricks Lakebase, Databricks’ serverless Postgres database built for AI agents. Customers can now query transactional data alongside their analytical datasets in Databricks and build dashboards that reflect live operational activity, including order status updates, inventory shifts, system health, and more, without moving data between systems or maintaining a separate pipeline for operational reporting. Sigma’s spreadsheet-native interface handles both in one governed workspace.
  • Support for Unity Catalog Semantics, Databricks’ semantic layer for defining and governing reusable business metrics across the platform. Metric definitions managed in Unity Catalog now surface natively inside Sigma workbooks, so data teams can define business logic and provide consistent enterprise context for analytics, AI applications and agents once – every report, dashboard, and AI Apps output draws from the same source. This is designed to eliminate the metric drift that happens when governance lives in the warehouse, but BI adds its own semantic layer on top.

Sigma is an Icon Partner for the Databricks Data + AI Summit 2026, June 15–18 in San Francisco, and will be exhibiting at Booth #106 for daily theater sessions featuring live product demos and hands-on training. Sigma will also host several featured sessions at the event, including customers such as the Hospital for Special Surgery, Unilever, Dotmatics, and DraftKings.

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