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Data Ladder Launches Web-Based DataMatch Enterprise for Entity Resolution

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Data Ladder Launches Web-Based DataMatch Enterprise for Entity Resolution

Data Ladder - Bloor Research

REST API, Docker-based deployment, Entity Graphs and Live Search bring entity resolution into modern data workflows

Data Ladder, a provider of entity resolution, data matching and data quality software, announced the availability of a new web-based release of DataMatch Enterprise. The release moves the platform beyond its legacy Windows desktop experience to a server-based web application offered in Docker-based and non-Docker builds. It is designed to help organizations identify, link and investigate fragmented records while embedding resolution workflows in data pipelines and applications.

Key Capabilities
The new release combines configurable data preparation and matching with tools for integrating, deploying and investigating entity-resolution workflows. Its principal capabilities include:
REST API. Enables systems that can make HTTP requests to access matching, profiling and data-preparation operations without a .NET bridging service.
Deployment options. Server Edition is available in Docker-based and non-Docker builds. The Docker-based build supports containerized operation across supported Linux, on-premises server and cloud environments.
Entity Graphs. Visually show how records connect and how resolved entity groups were assembled, helping analysts investigate relationships and potential over-linking.
Live Search. Provides point-in-time record lookup and matched results without requiring a complete batch job.

The release also introduces redesigned web-based workflows and supporting improvements to cross-column, numeric and phonetic matching for complex data-quality projects.

Together, these capabilities allow organizations to use DataMatch Enterprise both as an analyst-facing application and as a component within broader data-management workflows. Teams can profile and prepare source data, configure deterministic, fuzzy and phonetic matching rules, group records representing the same entity, investigate relationships and deliver resolved data to downstream systems.

10-Million-Record Benchmark

In controlled Data Ladder testing conducted August 12, 2026, the new web application completed a 10-million-record matching job in approximately 41 minutes on one run and 43 minutes on a second. The legacy application, using the same source file, matching definition and machine, crashed without producing output after approximately 10 hours in both runs.

The figures are rounded observed runs, not averages, from Data Ladder’s internal test configuration. Actual performance and match quality may vary based on data structure, matching rules, thresholds, infrastructure and allocated resources.

Import and Profiling Results
The same internal 10-million-record test also measured import and profiling. The new web application imported the dataset in approximately four minutes and profiled it in approximately six minutes. The legacy application imported it in approximately five minutes and profiled it in approximately 10 minutes, meaning the new application completed profiling in approximately 40% less elapsed time.
Additional information and demonstration requests are available through the DataMatch Enterprise product page i.e. https://dataladder.com/datamatch-enterprise-api-first-data-matching-platform/

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Canva partners with EBANX and Capitec Pay to unlock cardless subscriptions for South Africans

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Canva partners with EBANX and Capitec Pay to unlock cardless subscriptions for South Africans

EBANX

Via the integration with EBANX, Canva becomes the first merchant on Capitec Pay’s new recurring A2A payment

Canva, the global visual communication platform, has become the first international company to offer recurring subscription payments to South African customers via Capitec Pay, the account-to-account payment method built by South Africa’s largest personal bank Capitec. The milestone is made possible through Canva’s ongoing partnership with EBANX, a global technology company specializing in payment services for emerging markets.

The announcement represents a shift in how global subscription businesses can reach South African consumers. Credit card penetration in the country ranges between 8% and 10% of the adult population, according to the South African Reserve Bank and the World Bank. This limitation has historically restricted the reach of traditional card-on-file subscription models, excluding 44 million people in South Africa who do not own credit cards.

Instead of needing a credit card, Capitec Pay lets clients approve a recurring payment once in the Capitec app. After that, participating businesses can collect future subscription payments automatically. Canva is the first international subscription service to offer recurring payments with Capitec Pay.

Capitec is South Africa’s largest personal bank by customer base, with 26 million clients and over 16 million app users. According to Capitec, one in three South African adults uses its mobile app. “For Canva, going live as the first global merchant on this infrastructure is a removal of a structural barrier that was preventing a large portion of South Africans from accessing our platform at all,” said Bianca Sibiya, Canva Africa Lead.

The offering of recurring payments through Capitec Pay by Canva in South Africa is possible thanks to its partnership with EBANX, which helped enhance the solution and became the first global payment service provider (PSP) to integrate it into cross-border payment flows.

“For years, card-based billing has been treated as the default model for global subscription products, but that default was built around consumer behavior in the United States and Western Europe, not South Africa,” explained Wiza Jalakasi, Commercial Lead for Africa and the Middle East at EBANX.

EBANX has become a leading enabler of recurring alternative payment methods (APMs) in cross-border digital commerce across the world. Including South Africa, the company supports recurring APMs across 12 emerging markets, enabling global merchants to reach more than 1 billion consumers, many of whom lack access to credit or debit cards.

“Capitec’s philosophy is to ensure that our clients experience simple, affordable and innovative services. Recurring payments through Capitec Pay is just one of the many ways we bring that simplicity to life, offering clients a payment experience they already know and trust. Through this partnership with Canva, we are expanding our trusted payment experience and giving clients access to international merchants in an accessible way,” said Francois Viviers, Group Executive of Marketing and Client Experience at Capitec.

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CaliberMind Launches Activations, Connecting Audiences Directly to Marketing and Advertising Platforms

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CaliberMind Launches Activations, Connecting Audiences Directly to Marketing and Advertising Platforms

CaliberMind Reviews 2026: Details, Pricing, & Features | G2

New capability enables marketers to push audiences directly into 170 + tools like Google Ads, LinkedIn Ads, MAPs with buyer touchpoints as interoperable signals

CaliberMind, an Integrate company, the premier GTM intelligence and marketing analytics platform, today announced release of Activations, a new capability that connects CaliberMind’s multi-touch attribution insights directly into an interoperable revenue generation engine where every touchpoint in the buyer journey feeds back into how and where marketing activates next.

Marketers, myself included, are busy and perpetually time-poor. Our audience Activations capability will change that so that marketers can spend more time on strategy and not tactical execution.”

— Nadia Davis, VP of Marketing at CaliberMind

With Activations, revenue marketing and demand gen teams can sync dynamic audience segments directly into downstream destinations, including Google Ads, LinkedIn Ads, HubSpot and 170+ other activation platforms and tools in their tech stack.

For years, Marketing and RevOps teams have built precise, insight-rich segments in CDPs, data warehouses or tools like CaliberMind — only to lose time and data fidelity exporting them by hand into execution tools. Some teams have tried to replicate these next-steps-ready segments through native targeting within programmatic tools losing segment accuracy as a result.

The new Activations functionality within CaliberMind bridges the gap between audience intelligence and next steps execution. Once a list is built, it can be synced on a schedule, kept in continuous alignment with destination channels, and refreshed automatically as accounts and contacts move through the buyer journey.

“Marketing teams don’t need more static dashboards showing what has already happened; they need their best attribution insights driving action where the work actually happens,” said Andy Hopkins, Head of Product at CaliberMind. “Activations turns your marketing analytics into a closed-loop engine. The second an insight or segment is triggered in CaliberMind, it’s ready to execute in market without manual exports or reformatting required.”
Activations builds directly on the momentum of Agent Cal, CaliberMind’s native AI assistant that enables teams to build hyper-targeted lists — such as high-intent ABM accounts with specific campaign touchpoints — using natural language. Together, the features radically shorten the time between identifying revenue opportunity and executing targeted campaigns against it.

Key Capabilities of Activations

– Unified Workflow Across Destinations: Configure syncs to LinkedIn, Google, or marketing automation tools using the exact same intuitive workflow. Learn it once, use it across every channel.

– Flexible Sync Strategies: Choose between a one-time push or a continuous mirror sync that automatically adds and removes prospects as their status changes in CaliberMind — ensuring ad spend is never wasted on stale lists.

– Optimized Match Rates: Guided field mapping enforces unique sync keys (such as business email, name, or title), maximizing platform match rates and extending effective audience reach.

– Customizable Scheduling: Run syncs hourly, daily, or on custom days to align audience updates directly with campaign cadences.

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Intrado and Carahsoft Partner to Expand Access to Mission-Critical Emergency Communications and Safety Solutions for the Public Sector

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Intrado and Carahsoft Partner to Expand Access to Mission-Critical Emergency Communications and Safety Solutions for the Public Sector

Carahsoft

Agreement Provides Government, Education and Public Safety Organizations with Simplified Procurement Access to Intrado’s 9-1-1 and Mass Notification Solutions

Intrado, a leader in emergency communications and safety technology, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider, announced a partnership. Under the agreement, Carahsoft will serve as Intrado’s Master Government Aggregator, making Intrado’s Emergency Response Services (ERS) and OneAlert™ platform available to the Public Sector through Carahsoft’s reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, National Association of State Procurement Officials (NASPO) ValuePoint and OMNIA Partners contracts.

“Organizations today face increasing expectations around emergency preparedness, employee safety and regulatory compliance,” said Lance LaForest, Intrado Federal Channel Manager. “By partnering with Carahsoft and its reseller network, we are expanding access to proven emergency communications and notification technologies that help organizations protect people, improve response times and strengthen overall safety outcomes.”

Federal, State and Local Government agencies, educational institutions, public safety organizations and other eligible entities now have streamlined access to Intrado’s solutions, helping organizations improve emergency response, enhance situational awareness and support compliance with evolving safety regulations.

Intrado’s ERS delivers accurate 9-1-1 call routing and dispatchable location information to support compliance with Kari’s Law and RAY BAUM’S Act requirements. OneAlert provides a unified emergency notification platform that enables rapid communication across voice, SMS, desktop, mobile and integrated safety systems. Together, the two solutions form an integrated safety ecosystem spanning emergency calling, location intelligence, real-time alerts and coordinated incident response.

“Carahsoft is pleased to partner with Intrado to bring its trusted emergency communications and safety technologies to the Public Sector,” said Lacey Wean, Program Executive for Law Enforcement Solutions at Carahsoft. “As agencies and organizations continue to prioritize emergency preparedness, regulatory compliance and the safety of their communities, Intrado’s Emergency Response Services and OneAlert platform provide critical capabilities to improve situational awareness and accelerate coordinated response efforts. Through this partnership and our reseller partners, we are making it easier for Federal, State and Local Government agencies, educational institutions and public safety organizations to procure these mission-critical solutions and strengthen their emergency response capabilities.”

Intrado’s solutions support a broad range of Public Sector use cases, including Government facilities, higher education campuses, K-12 schools, healthcare environments and emergency management operations.

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RankYak Launches AI Platform That Handles Every Stage of SEO for Small Businesses and Agencies

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RankYak Launches AI Platform That Handles Every Stage of SEO for Small Businesses and Agencies

RankYak

The platform researches keywords, writes and publishes articles daily, and keeps existing pages ranking, with no in-house SEO team required

RankYak, an AI SEO platform for small businesses and agencies, announced its official launch. The platform handles every stage of search engine optimization for a website: keyword research, content planning, daily article writing and publishing, and ongoing maintenance of the pages a site already has.

Small businesses know they need search traffic, but few have anyone with the time or skills to earn it. An agency retainer costs more than many of them make from search, and a freelancer still needs managing. Agencies have the opposite problem: dozens of client sites and a small team to serve them. RankYak closes that gap by doing the work itself instead of handing the owner another dashboard.

“Most SEO tools tell you what to do and leave you to do it,” said Lars Koole, co-founder of RankYak. “That works if you have an SEO person. Our customers do not. So we built one: it finds the keywords, writes the articles, publishes them, and keeps watching the site.”

“Content is where most tools stop, and that is where sites start losing traffic,” Koole added. “A site with hundreds of articles and no maintenance loses clicks every month. RankYak keeps working after publish day.”

RankYak starts with the market, not with the site’s current rankings. It maps the topics a business should cover, finds the search terms behind each one, and groups terms that share the same search results into a single target. From that map, it plans a content calendar, writes an optimized article every day with internal links and images, and publishes it directly to WordPress, Shopify, Webflow, Duda, and other platforms.

Site Guard covers the pages a site already has. Page Guard checks them daily against the site’s Google Search Console data, flags weak titles, weak descriptions, and lost clicks, and writes the fix for the owner to approve. Cannibalization Guard finds pages that compete for the same search and delivers a consolidation plan: one page wins, the rest redirect. When an article loses ground, RankYak refreshes and optimizes it on the same URL instead of publishing a new one.

The company’s goal is to give any business the search presence that, until now, only companies with a marketing department could afford, at a price a one-person business can justify. RankYak offers a free trial. Pricing is $99 per site per month or $990 per site per year.

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MathCo Announces Transformation to an AI-Native Model, Marking 10 Years of Building Enterprise Intelligence

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MathCo Announces Transformation to an AI-Native Model, Marking 10 Years of Building Enterprise Intelligence

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  • Aims to build a workforce of 4,000+ AI-native professionals, including Forward Deployed Engineers (FDEs) across India and the US
  • MathCo to expand the model across its client base, helping organizations work smarter, faster, and more efficiently, targeting 3X growth
  • Unveils Thinking Architecture, an AI framework designed to help global organizations scale enterprise AI and accelerate their journey to becoming AI-native

MathCo, a global Enterprise AI and Analytics company, marks ten years of helping Fortune 500 enterprises transform decision-making through data, analytics, and AI. As it enters its next decade, the organization today announced its transition to an AI-native way of working – a fundamental shift in how the organization designs, builds, and delivers value to clients.

MathCo’s new AI-native operating model is expected to create more than 2,000 new specialized AI roles, while helping clients solve the right problems, improve efficiency, and unlock measurable business value. The model is also expected to fuel 3X growth for MathCo over the next four years.

“Ten years ago, we started MathCo with a vision to democratize data-driven decision-making and equip enterprises with smarter intelligence. That vision has evolved into something much bigger, helping organizations embed intelligence into the fabric of their businesses, enabling faster, smarter, and more confident decisions,” said Sayandeb Banerjee, CEO and Cofounder, MathCo.

Redefining AI Services for Enterprises

As enterprises race to adopt AI, many continue to struggle to move beyond isolated pilots toward enterprise-wide adoption and measurable business outcomes. MathCo’s AI-native transformation is designed to help organizations bridge this gap, enabling them to scale AI more quickly, effectively, and with greater business impact.

“We are now redefining AI Services for modern enterprises and bringing the ” AI-Native Way of Working” to lifeTransforming into an AI-native organization is about fundamentally rethinking how businesses operate, solve problems, and create using AI. Our aim is also to help our clients bring AI into every aspect of their business, so they can move beyond simply adapting to AI and use it to create lasting competitive advantage,” Banerjee added.

MathCo’s AI-native transformation is designed to accelerate its next phase of growth, reshaping how it delivers for clients, builds talent, and scales its business:

  • AI-Native workforce to play an important role: MathCo is transforming its workforce to build AI-native talent at scale, equipping employees with a new mindset, skill set, and tool set to embed AI in how they solve problems and deliver solutions. This includes combining deep domain expertise with data and technology capabilities, as well as proficiency with leading AI platforms. Through upskilling existing talent and targeted hiring, MathCo aims to build a workforce of 4,000+ AI-native professionals, including Forward Deployed Engineers (FDEs) across India and the US over the next four years.
  • 3X Growth Projection: MathCo’s AI-native model has seen strong client adoption, with early results demonstrating its potential to drive meaningful business impact at scale. The company plans to expand the model across its client base and capabilities, targeting 3X growth over the next four years. This growth is expected to be driven by deeper engagement with existing clients, new client acquisition, expansion of AI-native solutions, and growing demand for enterprise AI transformation.
  • Solving the right problems for clients: MathCo’s AI-native approach focuses on addressing the right problems and creating tangible business value. By rethinking processes and embedding AI into everyday workflows, the approach helps clients and teams work smarter, faster, and more efficiently, while reducing time, effort, and cost.

The Thinking Architecture

To bring this vision to life for its clients, MathCo has unveiled The Thinking Architecture, an AI framework to help global organizations become AI-native.

The framework has four interconnected components – consumption, orchestration, integration, and context, supported by a shared platform foundation.

The Thinking Architecture enables organizations to move beyond isolated AI use cases to build enterprise-wide intelligence systems that continuously learn, adapt, and improve.

By connecting AI across functions, workflows, and decision-making, the approach is designed to turn individual AI applications into scalable, measurable business impact – addressing one of the biggest challenges in enterprise AI today: moving from experimentation to enterprise-wide scale, value and adoption.

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AI Didn’t Shrink Marketing Teams. It Exposed the Empires.

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AI Didn't Shrink Marketing Teams. It Exposed the Empires.

There’s an unspoken rule in the C-suite: the size of your organization is the measure of your importance. Nobody frames it that way. They say “scale” and “category leadership” and “center of excellence.” But the math is simple. More people, more budget, more complexity mean more power.

Nowhere has this been more true, or more exposed, than in marketing.

AI started doing the work of entire marketing teams. And suddenly every CMO in America faced an uncomfortable question that had nothing to do with technology: if a machine can replace half your department, what was that half doing?

The answer, which nobody admits out loud, is that too many CMOs built empires instead of businesses. They optimized for organizational size, not business outcomes. They measured success by team growth, budget expansion, and the complexity of their own org charts, not by whether the company grew.

I know because I was one of them.

I spent a decade scaling a marketing organization at Autodesk to 130 people across multiple countries. I built the full playbook. Live-action commercials, guerrilla-style campaigns, integrated programs from top of funnel all the way down to ad creative. It looked impressive. It was the kind of work that gets you recognized and wins awards. And I measured my own success, at least in part, by the growth of that team, by budget size, org chart complexity, and the scope of what I controlled.

I also know exactly where the real leverage was, and where the headcount existed to service the org itself rather than drive the business. Some of the team was running campaigns for the sake of running campaigns. Some were running passion projects: things people wanted to do that weren’t tied to the bigger mission, but the org was big enough and well-resourced enough to absorb them. And some roles existed because the org chart demanded a layer there, not because the business did. I built it. I was proud of it. And when I finally looked at it honestly, a meaningful percentage of it was sustaining itself, not moving the company forward.

Building the org for its own sake, scale as the prize and not the means to one, is its own leadership model. It has a name. I call it the celebrity CMO. It’s not really about marketing as a craft. It’s about being the figurehead; the person on the talk-show circuit, the one whose personal brand gets fused with the company’s, the one leveraging organizational resources to prop themselves up. Big flashy campaigns with big-name talent. Awards. Status. The appearance of momentum. Performance is rarely the point; visibility is. Boards don’t push back because they don’t have a way to see through it. The tenure for that model, by the way, tends to be short; two years is a long run.

But that’s started to change with AI. AI gave them the x-ray. Salesforce cut roughly 1,000 jobs in February, marketing among them, and is redeploying headcount into AI roles like “Deployment Strategists” and “AI Conversation Designers” rather than rebuilding the teams it shed. Intuit cut 1,800 people to fund AI, then hired 1,800 in different roles. These aren’t AI success stories. They’re accountability stories. The value was coming from a smaller core of people than anyone wanted to admit.

And here’s why almost no CMO will say this publicly: admitting your department was bloated is admitting you built it that way. That the “center of excellence” was sometimes a center of overhead. That’s a career-threatening admission in an industry that still rewards the appearance of scale.

But it’s the truth. And the CMOs who survive are the ones willing to act on it.

In my final stretch at Autodesk, I started seeing the machine for what it was. The team was good. They were focused on impact. The direction wasn’t wrong. The problem was the size itself. Annual marketing planning ran with twenty-five people in the room. Cross-team collaboration turned into a slog. A campaign that should have taken weeks to launch took six months. That’s what an over-resourced organization actually feels like from the inside, not chaos, just friction. And friction at scale becomes drag. The team could have moved at the speed the business needed. The structure wouldn’t let it. That was the wake-up call.

So when I joined, the first thing I did was hold the campaigns. Foundational messaging needed sharpening. Tech debt needed cleanup. Data infrastructure needed work. I could have skipped straight to the flashy stuff: make noise, spend the brand dollars, blanket the airports with billboards and light up Times Square. That’s the celebrity-CMO playbook. Instead, I built the foundation, because if marketing isn’t having a measurable impact on the business, why is anyone there?

That decision, infrastructure over flash, is the one most CMOs won’t make. It’s not exciting. Nobody wins awards for getting a website to benchmark or a data layer to actually report cleanly. But it’s the difference between a marketing org that drives compounding outcomes with a tight core of strategists and one that mostly manages itself.

The 100-person marketing department is going away. Not because AI replaces those people, but because AI makes it impossible to hide the fact that most of them weren’t driving results in the first place. What replaces it is smaller, senior, and ruthlessly accountable: every person tied to whether the company grows, every role earning its existence on impact rather than on scope. The CMOs who built the empires know this day is coming. Most of them just aren’t willing to say it.

About The Author Of This Article

Colin Piper is CMO at BuildOps. He spent a decade in enterprise marketing at Autodesk before deciding to build the opposite.

About BuildOps

BuildOps is an AI-native platform for commercial contractors. Built for the complexity of large-scale commercial work, it replaces disconnected tools and manual workflows with a single system that runs every job from quote to close.

Paradium.AI and Elcano Partner to Expand Brand IP Across Programmatic Channels Through Victoria and Encore Integration

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Paradium.AI and Elcano Partner to Expand Brand IP Across Programmatic Channels Through Victoria and Encore Integration

Paradium.AI, Inc. Logo

Paradium.AI, Inc. , an AI-driven technology platform operating at the intersection of IP, data and commerce engineered to empower creators, media entrepreneurs, publishers and brands, announced a strategic partnership with Elcano, a curation enablement company that empowers publishers, data providers and agencies to build, operate and scale supply-side curation capabilities.

The partnership connects Victoria, Elcano’s AI agent for deal management and optimization, with Encore, Paradium.AI’s first-party data curation platform. The integration will support activation across display, online video, native, and Connected TV (CTV), extending the reach of Paradium.AI’s brands and audiences across owned-and-operated properties as well as premium off-platform supply.

Paradium.AI and Elcano are bringing to market a differentiated cross-channel offering that gives advertisers streamlined access to curated audiences and brand-aligned inventory. Elcano’s infrastructure will support automated deal creation and management, real-time intelligence, reporting and continuous supply-side optimization, helping improve media quality, efficiency and performance against advertiser KPIs. By leveraging these AI-driven technologies, Paradium.AI and Elcano continue to innovate in audience curation and drive future-focused solutions.

“We’re thrilled to share the news of this partnership,” said Stephanie Mazzamaro, Head of Programmatic, Addressability, and Ops at Paradium.AI. “The combination of our first-party publisher data and Elcano’s agent, Victoria, strengthens our curation capabilities, enabling us to continually provide better experiences for our audiences and expand our reach across new channels.”

According to internal Adomik reporting, Paradium.AI-operated curated inventory delivered a $3.18 CPM in Q2 2026—7% higher than the open market CPM of $2.97—and achieved a 0.27% CTR compared with 0.22% in the open market. These results underscore the growing value of curated inventory and the opportunity for Paradium.AI to accelerate its curation desk initiatives with Elcano’s technology and expertise, creating both better yield for publishers and stronger performance for buyers.

“Paradium.AI brings together the first-party data, trusted brands and engaged audiences that buyers are seeking,” said Kyle Vidasolo, CEO at Elcano. “Connecting Encore with Victoria gives advertisers a more direct way to activate those assets, supported by the intelligence and operational controls needed to achieve the performance they are looking for.”

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SEOPulse Launches Enterprise AI Visibility Platform as Traditional Search Rankings Lose 50% Traffic to Answer Engines

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SEOPulse Launches Enterprise AI Visibility Platform as Traditional Search Rankings Lose 50% Traffic to Answer Engines

New benchmark study reveals AI models agree on top brands in under 1.5% of queries, prompting SEOPulse to launch real-user session tracking for enterprise marketing teams across ChatGPT, Perplexity, and Gemini.

SEOPulse.io announced the official launch of its AI Visibility & Intelligence Platform, built to help enterprise marketing teams capture brand citations inside generative AI search results. With traditional search traffic projected to plunge 50% by 2028 as buyers migrate to conversational AI, SEOPulse solves the critical challenge of brand invisibility by replacing outdated keyword rank trackers with direct Answer Engine Optimization (AEO) intelligence.

The Problem & Solution

Enterprise buyers no longer browse ten blue links; they ask conversational AI engines for direct recommendations. SEOPulse ran a benchmark research analyzing 1,500 commercial prompts reveals that AI engines select the exact same top vendor in under 1.5% of queries, while over 50% of AI answers mention brands, only 10% of these answers mention and cite a brand. SEOPulse addresses this loss of market share by actively monitoring how Large Language Models ingest, process, and cite brand entities.

Core Capabilities & Differentiation

  • Tracks Every Major AI Worldwide: SEOPulse monitors popular AI tools in the West (like ChatGPT and Gemini) and major AI engines in East Asia (like Deepseek and ByteDance Doubao) so you get the full picture everywhere.
  • Built for Global Brands: SEOPulse helps companies track and grow their brand internationally across both Asian and Western markets with multi-lingual and multi-region capabilities.
  • Real Answers, Real Protection: SEOPulse simulates real user experience on AI engines, avoiding API environments to protect your brand’s reputation and grow your business across borders.

Executive & Partner Statements

“Search habits have fundamentally shifted, and brands relying solely on page-one Google rankings are quietly losing high-intent buyers to cited competitors,” said Lawrence Lo, Founder and CEO at SEOPulse. “SEOPulse gives C-suites complete visibility into their AI Share of Voice and provides actionable steps to secure direct recommendations.”

Target Audience, Pricing & Availability

SEOPulse is designed specifically for enterprise marketing teams, digital agencies, and multi-market brands. Available globally today, pricing starts at just $1 per prompt per market.

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Local Media Consortium Launches AI Accelerator

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Local Media Consortium Launches AI Accelerator

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New program will help local media companies assess AI readiness, identify opportunities for implementation, and shape future training, resources and services

The Local Media Consortium (LMC) announced the launch of the AI Accelerator, a new program designed to help local media companies better understand, evaluate and implement artificial intelligence strategies that improve operations, strengthen business performance and support long-term sustainability. As part of the program, the LMC is partnering with Stellis AI to conduct an AI Readiness & Digital Tech Stack Assessment for participating members.

The assessment comes as artificial intelligence continues to move up the priority list for local media organizations. In the LMC’s recent industry survey, 46% of respondents identified AI for operations as one of the top trends on their radar for 2026, underscoring growing interest in practical applications that can improve efficiency, streamline workflows and support business growth.

The AI Readiness & Digital Tech Stack Assessment will provide participating organizations with a comprehensive evaluation of their current technology environment, AI readiness, operational priorities and opportunities for implementation. Findings, which will be gleaned from a survey that kicked off on August 25, will help organizations identify practical ways to improve workflows, increase efficiency, reduce costs, strengthen audience engagement and uncover new revenue opportunities.

“Artificial intelligence has quickly moved from a future consideration to an active business priority for many local media organizations,” said Fran Wills, CEO of the Local Media Consortium. “Our members are looking for practical guidance on where AI can create the greatest impact for their organizations. The AI Accelerator will help participants assess their readiness, identify opportunities and build a roadmap for implementation so they can make informed decisions with confidence.”

Participating organizations will receive individualized findings and recommendations to support future planning and implementation efforts. Assessment results will remain proprietary to participating organizations and the LMC, while aggregated insights will help guide future AI-related education, programming, partnerships and support resources for members.

The AI Accelerator is part of a broader effort by LMC and Digital On-Demand Services (DODS), which helps local media organizations get important work done by connecting them with the right experts and managing the work from idea to execution. The AI Readiness & Digital Tech Stack Assessment is supported through funding from the John S. and James L. Knight Foundation as part of the News Media Help Desk, an online resource created by the LMC and The Reynolds Journalism Institute that guides newsrooms toward strategic decisions that ensure the long-term future of local media.

“By helping organizations move from AI experimentation to implementation, this initiative will provide the LMC with valuable insights into the needs and priorities of its membership,” said Liz Hayes, program manager for DODS. “Those insights will inform future training programs, educational resources, strategic partnerships and services designed to support local media organizations as they navigate a rapidly evolving technology landscape.”

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Enveil Partners With Carahsoft to Expand Delivery of Secure Cross-Silo Data Usage Capabilities

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Enveil Partners With Carahsoft to Expand Delivery of Secure Cross-Silo Data Usage Capabilities

Enveil Logo

Partnership Will Enhance Data-Driven Outcomes in the Public Sector By Expanding the Availability of Privacy Enhancing Technologies

Enveil, the pioneering Privacy Enhancing Technology company protecting Data in Use, announced a partnership with Carahsoft Technology Corp., The Trusted Government IT Solutions Provider®. Under the agreement, Carahsoft will serve as Enveil’s Public Sector distributor, expanding the pathways for delivering the company’s mission-enabling, secure data usage capabilities across the U.S. Public Sector through Carahsoft’s reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, Information Technology Enterprise Solutions – Software 2 (ITES-SW2), The Interlocal Purchasing System (TIPS) and OMNIA Partners contracts.

Carahsoft will expand the pathways for delivering Enveil’s secure data usage capabilities across the U.S. Public Sector

Powered by Privacy Enhancing Technologies (PETs), Enveil’s ZeroReveal® software enables organizations to unlock value from distributed data in multi-domain and multi-classification environments. Users can securely and efficiently leverage data across organizational silos and security boundaries without moving assets or compromising mission objectives. By encrypting sensitive searches, watchlists and AI/ML models, Enveil expands data utility and accelerates the timeline for turning raw data into actionable intelligence.

“The ability to access and use data across a global operating environment is critical to mission success for defense and intelligence organizations,” said Chris Tallent, Vice President of Sales at Enveil. “We are proud to be working alongside Carahsoft and its reseller ecosystem to ensure our mission-enabling solutions can be in the hands of end users when and where they need it.”

As Enveil’s Public Sector distributor, Carahsoft provides Government agencies with streamlined access to the company’s solutions through its reseller partners and contract vehicles. The company’s pre-vetted reseller ecosystem removes procurement challenges that have historically slowed technology implementation.

“As our Public Sector partners encounter rapidly evolving, multi-domain landscapes, they need to be able to quickly harness innovative, mission-ready solutions,” said Alex Kress, Sales Director overseeing the Enveil Team at Carahsoft. “We are pleased to be working with Enveil and our reseller partners to deliver solutions that can transform the way data is accessed and used across the Federal ecosystem.”

Enveil’s COTS solutions allow users to stop moving data and start using it — securely. Organizations can extract insights from data while protecting interests and intent, enhance OPSEC and mitigate the risk of data exposure, and reduce the need to lift-and-shift data, saving time and storage costs. ZeroReveal® is deployed and operational at scale today.

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Celigo Ora Redefines How Enterprises Apply AI and Automation

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Celigo Ora Redefines How Enterprises Apply AI and Automation

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Now generally available, Ora brings the power to build, manage and troubleshoot automation to every team, in plain language

Celigo, the intelligent automation platform built for AI, announced the general availability of Celigo Ora, its natural language interface for building, managing and troubleshooting automations. Since the launch in beta, nearly a quarter million messages have been exchanged between users and Ora. One in two active builders in the Celigo platform now work with Ora – demonstrating early adoption as teams put AI directly into their day-to-day automation work.

As enterprises experiment with AI-driven workflows, many struggle to operationalize and scale them beyond early pilots. Part of the challenge is usability: building and maintaining automation has traditionally required specialized technical knowledge, limiting who can put AI to work and creating additional demands on IT. Celigo Ora helps close that gap by making it easier for more people across the organization to build, manage and troubleshoot automation.

Unlike general-purpose AI copilots that sit alongside software and offer suggestions, Ora is the interface to the Celigo platform itself. It works with a customer’s existing workflows, connections and configurations, giving users the context to build, analyze and troubleshoot automation directly while maintaining the same permissions and guardrails as the Celigo platform. Ora is part of Celigo’s expanding flexibility in how teams can access the platform and leverage AI, based on how they like to work: through the product UI, now with a natural language interface; from the terminal; or directly from an LLM.

“For years, building and maintaining automation required specialized technical knowledge, from learning API schemas and mapping fields to diagnosing integration failures,” said Matt Graney, Chief Product Officer at Celigo. “Ora changes that by putting those capabilities into the hands of anyone who can describe what they need in their native natural language, whether written or spoken, without waiting on IT or a technical specialist. At the same time, technical teams can spend less time on routine maintenance and more time on strategic work, allowing enterprises to expand their automation capacity without increasing IT headcount.”

Ora provides natural language access to the Celigo platform, enabling users to:

  • Build and modify all aspects of automations, from deterministic workflows and AI agents, to B2B flows and Data Ingestion syncs, all in plain language
  • Troubleshoot and resolve issues by investigating errors and making changes without escalation
  • Manage and analyze automation through configuration, monitoring and account-wide analysis
  • Take action with approval before changes are made, with actions limited to each user’s existing permissions

“Celigo Ora is a game changer, especially for teams like ours who don’t have time to build deep platform knowledge,” said Marek Szpitun, Director of Business Systems at Sport Alliance GmbH. “Within 10 minutes, I had two complete flows built and ready to go. Almost anyone can do this now.”

For technical teams, Celigo also provides access to the platform through the Celigo CLI and Celigo Platform MCP, bringing Celigo capabilities into terminals, pipelines and AI environments.

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Alchemer Launches Iris, an AI-Native Customer Experience Platform Built for Action

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Alchemer Launches Iris, an AI-Native Customer Experience Platform Built for Action

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Unified feedback platform delivers a seamless experience across channels, bringing answers, guiding actions and moving work between systems

Omilia Partners with Telarus to Bring Self-Learning Agentic CX to Enterprise Clients Across the U.S. and U.K.

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Omilia Partners with Telarus to Bring Self-Learning Agentic CX to Enterprise Clients Across the U.S. and U.K.

Omilia Logo

Telarus’s nationwide network of technology advisors gains access to Omilia’s fully proprietary Agentic CX platform, including Voice and Chat Agents, Authentication Agents, and TalkGuard

Omilia, the global leader in Self-Learning Agentic CX, announced a partnership with Telarus, one of the largest technology services distributors (TSDs) in the U.S. and U.K. Under the agreement, Telarus’s nationwide network of technology advisors can now bring Omilia’s full Agentic CX platform to enterprise clients evaluating conversational AI and CCaaS solutions.

The partnership pairs two complementary strengths: Omilia’s fully owned technology stack and track record deploying production-grade agentic AI at enterprise scale, with Telarus’s trusted relationships across the advisor community that enterprise IT and CX buyers already rely on to shortlist technology decisions.

Legacy IVR Is Running Out of Road

Enterprises are actively replacing legacy, scripted IVR systems with AI-native customer service, and the technology advisors who guide those buying decisions are being asked for options that go beyond generic chatbots layered on third-party language models. This partnership gives Telarus’s advisors a full-stack agentic AI platform they can bring to CX-focused accounts without a lengthy vendor evaluation cycle.

Omilia owns its full technology stack – NLU, ASR, LLM, and small language models – natively, rather than layering services on top of third-party model providers. That removes the token-based, usage-driven cost exposure common to other conversational AI platforms and reduces the professional-services burden typically required to stand up a new use case.

What Telarus Brings to the Partnership

Telarus is one of the largest technology services distributors in the U.S. and U.K., supporting a nationwide network of technology advisors who guide enterprise purchasing decisions across UCaaS, CCaaS, cybersecurity, mobility, and cloud infrastructure. The partnership gives Omilia direct access to advisors who already sit inside the buying process for enterprise CX technology, shortening the path from introduction to deployment.

“Most conversational AI on the market today is a thin layer stitched on top of someone else’s model, which means the enterprise buying it inherits someone else’s token costs, someone else’s uptime, and someone else’s roadmap. It is our end to end stack so our clients don’t have to make that trade-off. That matters more, not less, as we scale. This partnership is part of how we’re expanding beyond our own direct footprint into new markets, selling-with, delivering-with, supporting-with, and expanding-with Telarus’s advisors giving enterprise buyers across the U.S. and U.K. a trusted way to get a production-ready platform without the vendor risk,” said Nick Delis, Chief Revenue Officer of Omilia.

“The appetite for enterprise-grade AI among our advisors’ clients is massive, but so is the need for a platform that’s proven at scale and doesn’t carry the cost or complexity baggage of stitched-together solutions. Omilia gives our advisors a full-stack conversational AI offer they can bring to CX-focused accounts with confidence,” said Samantha Nelson, Vice President of CX and AI at Telarus.

What Enterprise Clients Gain

Through this partnership, enterprises working with Telarus advisors gain access to Omilia’s Agentic CX platform, including:

  • Voice and Chat Agents: Self-learning conversational AI that autonomously handles complex customer interactions end-to-end across voice and digital channels.
  • Authentication Agents and TalkGuard: Multi-layered anti-fraud defense combining passive and active voice biometrics for frictionless identity verification, with real-time detection of spoofed numbers, replay attacks, and AI-generated voices.
  • CSR CoPilot: Real-time agent assistance surfacing next-best actions and knowledge content during live interactions.
  • Workforce AI: Automated quality management that scores every human and AI interaction for compliance and resolution effectiveness.

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Qlik Expands MCP Availability across AWS and Databricks Marketplace Bringing Trusted Business Context to Agents

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Qlik Expands MCP Availability across AWS and Databricks Marketplace Bringing Trusted Business Context to Agents

Qlik home

New availability in AWS Marketplace and Databricks Marketplace makes it easier for customers to bring Qlik’s governed data, analytics context, and transformation capabilities into existing AI environments.

Key takeaways:

  • Brings Qlik MCP to the environments customers already use: Qlik MCP is now available in AWS Marketplace and Databricks Marketplace, extending access to Qlik’s governed intelligence in major AI and data ecosystems.
  • Extends governed business context into agents: Qlik MCP exposes Qlik at the engine, tool, and agent levels so assistants can work with trusted data, lineage, business metrics, and existing analytical logic instead of starting from raw data alone.
  • Helps AI work more efficiently and accurately: Customers can use Qlik MCP to build data pipelines faster, enrich agent workflows with trusted business context, and query Qlik directly through natural-language assistants without rebuilding logic in multiple places.

Qlik® today announced expanded availability of its Model Context Protocol (MCP) server with Amazon Web Services (AWS) and Databricks, making it easier for customers to connect assistants and agents to Qlik’s governed data, analytics context, and transformation capabilities in the tools they already use.

The announcement builds on the general availability of Qlik’s agentic analytics experience and MCP server earlier this year. As enterprises move from AI experimentation to operational use, many are still forcing assistants and agents to work with incomplete business context, duplicated analytics logic, ungoverned and incomplete data. Qlik MCP addresses that problem by exposing governed data access, exploration, lineage, calculations, and selected analytics and data workflows through an open standard. Instead of rebuilding that logic inside every new assistant or agent environment, teams can bring Qlik’s trusted intelligence layer into the AI experiences they are already adopting.

With availability now in AWS Marketplace and Databricks Marketplace, Qlik is extending that trusted intelligence layer into two of the most important environments where customers are building, deploying, and using AI. Databricks customers can now use their Universal Commits to purchase Qlik solutions directly through the Databricks Marketplace.

“Customers are not looking for another standalone AI surface,” said Josh Good, VP, Corporate Strategy at Qlik. “They want the agent frameworks they are already adopting to work with trusted business data, existing metrics, and the logic already embedded in their analytics and data workflows. By expanding Qlik MCP across AWS and Databricks, we are making it easier for customers to bring Qlik’s transformation and analytics strengths into those environments so AI can work with better context, greater efficiency, and more reliable outputs.”

What’s new

  • AWS Marketplace availability: Qlik MCP is live in AWS Marketplace, extending Qlik’s trusted intelligence into AWS AI environments, including Amazon Bedrock
  • Databricks Marketplace availability: Qlik MCP is now available in Databricks Marketplace, enabling governed Qlik Cloud data retrieval, exploration, lineage, and analytics workflows inside Databricks agent experience.
  • Practical enterprise use cases: Qlik sees three major patterns emerging: teams using MCP to build data pipelines faster, teams using Qlik as a trusted data source inside broader agent workflows, and teams directly querying Qlik through assistants for everyday business analysis.

Qlik’s expansion across partner ecosystems reflects its broader 2026 strategy: helping customers make data work for AI with trusted data products, a context-rich analytics engine, and an open agentic experience that fits into their existing environments and architectures.

Archive Closes Funding Round to Scale AI-Native Creator Marketing, With Two of the Largest AI Labs Now Running on the Platform

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Archive Closes Funding Round to Scale AI-Native Creator Marketing, With Two of the Largest AI Labs Now Running on the Platform

Archive Logo

Backed by Anti Fund, Florida Funders, Battery Ventures, Stripe, and Tiger Global, Archive also recently closed two seven-figure enterprise deals with global consumer brands.

Archive, the AI-native creator marketing platform, announced the close of a strategic funding round. Led by Jake and Logan Paul and Geoffrey Woo’s Anti Fund and Florida Funders, it also included participation from Battery Ventures, Stripe, Tiger Global, Lux Capital, and Human Capital, along with more than 50 founders and executives from the technology and consumer sectors.

“We hear it from every founder we back: growing is harder than building,” said Jake Paul, Co-founder of Anti Fund. “The fastest-growing AI companies in our portfolio have made creators their number one channel, and Archive is the machine behind it.”

Creator advertising is now a $37 billion U.S. channel, growing roughly four times faster than the broader media market, while social video increasingly functions as television for consumers. For AI companies competing in crowded, fast-moving categories, creators offer a shortcut to product demonstration, practical education, and cultural relevance.

Anti Fund has invested in some of the fastest-growing AI companies, including OpenAI and Cognition. Several of the fund’s portfolio companies are treating creators as their number one growth channel, and two of the largest AI labs now run their creator marketing on Archive. That is the realignment Archive was built for.

“We hear it from every founder we back: growing is harder than building,” said Jake Paul, Co-founder of Anti Fund. “The fastest-growing AI companies in our portfolio have made creators their number one channel, and Archive is the machine behind it. This is exactly the kind of company we started Anti Fund to bet on.”

Archive gives brands two core capabilities on one foundation: social listening and insights that show what is working for a brand and its competitors, and creator programs that run campaigns end to end, from finding the right creators to turning their best posts into paid partnership ads. Both run on AI that watches and understands short-form video, capturing tagged, untagged, and disappearing content that manual tools miss.

“At Ketone-IQ, the brand I co-founded and Paul helped scale past a $40 million revenue run rate, creator marketing was one of our biggest growth drivers and the most painful thing we ran. We were reviewing thousands of videos by hand, chasing content that expired in 24 hours, and still missing half of it,” said Geoffrey Woo, Co-founder of Archive. “The results were amazing, but the manual work behind them was brutal. So, we built the tool we wished we had.”

More than 1,000 brands run on Archive today, including L’Oreal, DoorDash, and Pinterest, and the company recently closed two seven-figure enterprise deals with global consumer brands over the last few months.

“Every brand will eventually run thousands of creator relationships the way they run paid media today. We think creator marketing becomes the next great advertising platform, and AI companies are already leaning on it as their top growth channel,” said Paul Benigeri, Co-founder and CEO of Archive. “Word of mouth becomes something you can operate at scale. We are seeing it happen in real time, and there is a lot more coming.”

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315-Person Study Finds Most Viewers Can’t Tell AI Video Editing From Human Editing, Yet Prefer It

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315-Person Study Finds Most Viewers Can't Tell AI Video Editing From Human Editing, Yet Prefer It

Video Editing Service for YouTubers & Creators | Editvideo.io

Human-edited video won on engagement and trust, but 53.3% of viewers still mistook the AI-edited version for the human one.

Editvideo.io, a subscription-based video editing service, today released the results of an independent study testing whether everyday viewers can tell the difference between video edited by a professional human editor and video edited entirely by artificial intelligence.

The study showed 315 US-based respondents the same raw footage, edited two different ways: once by a professional human editor on Editvideo.io’s team, and once entirely by Descript’s Underlord AI co-editor, using a single prompt with no manual changes afterward. Respondents were asked which video they found more engaging, which felt more trustworthy, and finally, which one they believed was edited by a human.

The results showed a clear split. On the questions that measure how people actually respond to a video, the human edit won decisively: 78.7% of respondents found it more engaging, and 63.2% said it felt more trustworthy and made them more likely to subscribe.

But when respondents were asked to simply identify which video was human-edited, 53.3%, a majority, got it wrong. They believed the AI-edited video was the human one.

“We didn’t expect it to go both ways,” said Usman Qamar, Co-Founder and CEO of Editvideo.io. “Human editing still wins where it actually counts, holding attention and earning trust. But AI editing has gotten good enough that most people can’t identify it anymore just by watching. That’s a real shift, and we think it’s worth being honest about, even though we’re a company that sells human editing.”

The study’s most consistent finding was a reasoning pattern behind the wrong guesses: respondents overwhelmingly assumed that simpler, plainer editing meant a human had made it, and that more polished, graphics-heavy editing meant AI was involved. In this study, that assumption ran in the opposite direction. The human editor added branded motion graphics and highlighted captions, while the AI-edited version stayed deliberately minimal.

The pattern held regardless of education or income level. Respondents with a graduate degree were less accurate at identifying the human edit (34.8%) than those with a high school education (45.5%), and accuracy declined steadily as household income rose, from 51.8% among respondents earning under $35,000 to 40.0% among those earning $150,000 or more.

Editvideo.io designed the study to be transparent about its own commercial interest in the outcome. The full methodology, the AI prompt used, and the complete dataset are published alongside the results, including details the company says don’t reflect well on the AI tool used, such as an early draft that dropped the video’s closing call to action and had to be corrected.

Givsly Extends AI-Powered Values-Based Audiences to Political Advertising

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Givsly Extends AI-Powered Values-Based Audiences to Political Advertising

Givsly

New offering lets campaigns and political action committees (PACs) reach voters based on shared values and issue priorities rather than blunt demographic categories.

Givsly, a values-based marketing company, today announced that its AI-driven audience discovery solution is now available for political advertising. The expansion applies Givsly’s Values-Based Audiences — audience segments built using a vector methodology leveraging values, inferred motivations, and behavioral signals — to campaign planning and activation, allowing political advertisers to identify and reach voter segments that traditional demographic targeting often overlooks.

The Values-Based Audiences are generated at the ZIP code level using AI modeling rather than pulled from individual-level voter files. The platform statistically models communities by what values they appear to prioritize – such as access to healthcare, education policy, public safety, attitudes toward AI, green mandates, energy dominance or civic engagement – and builds representative profiles from those patterns, which can then be layered onto a campaign’s own voter data and targeting criteria.

“Campaigns have historically leaned on age, party registration, and past turnout to decide who sees an ad,” Chad Hickey, Givsly’s founder and CEO, said. “Those categories miss a lot of persuadable voters who don’t fit the standard mold. Our audiences let campaigns organize outreach around what people actually care about, at a geographic level, rather than assumptions about who they are.”

Political Campaigns can use Values-Based Audiences to:

  • Segment by values and issues: Campaigns can build audiences around more than 150 tracked values, issues and cultural signals that relate to a community such as the locations of data centers, and economic concerns such as affordability and access to education – instead of relying solely on party affiliation or age brackets.
  • Geographic modeling: Audiences are built down to the ZIP code level across the U.S., helping campaigns understand what different communities prioritize and where persuadable or low-propensity voters may be concentrated.
  • Layering with existing data: Campaigns and their media buyers can overlay their own voter files, turnout models, or CRM data on top of the synthetic audience layer to sharpen targeting further.
  • Reduced wasted spend: By moving beyond broad demographic buys, campaigns can direct media dollars toward audiences more likely to be receptive to a given message, potentially improving reach and engagement while reducing spend on unlikely or unpersuadable voters.

The announcement comes as campaigns, PACs, and political ad agencies increase investment in AI and data infrastructure ahead of upcoming election cycles. Values and issue alignment are increasingly cited as stronger predictors of voter response than traditional demographic labels, and campaigns are under growing pressure to demonstrate efficient use of media budgets.

Givsly says the political advertising offering will operate under its existing data-handling practices, using aggregated and modeled signals as a source rather than individually identifiable voter data.

The audiences are now available with select partners, OpenX and Index Exchange via Index Marketplaces, ahead of a broader rollout.

“Making Givsly’s Values-Based Audiences available on the sell side for the first time opens up new opportunities for how marketers can put this intelligence to work,” said Dave Clark, Senior Director of Buyer Development at Index Exchange. “By bringing Givsly into Index’s Data Vendor Ecosystem, political marketers can access these differentiated audience signals closer to the supply, with greater flexibility to build programmatic strategies around the values and issues that matter to communities.”

“Political advertising is becoming more sophisticated, and Givsly’s segments add a signal that can help political advertisers translate issue priorities into more effective programmatic targeting,” said Joseph Worswick, SVP Global Partnerships. “By bringing more data and intelligence to the supply side, OpenX can help campaigns move beyond broad demographic assumptions and deepen audience strategy.”

Ecer.com Drives the Next Generation of Mobile-First B2B Commerce at the Speed of a Tap

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Ecer.com Drives the Next Generation of Mobile-First B2B Commerce at the Speed of a Tap

ecer.com

Integrating AI real-time translation, VR factory tours, and mobile video negotiations, ECER enables seamless, on-the-go global trade collaboration.

Fueled by rapid advances in mobile internet and artificial intelligence, global procurement behaviors are undergoing a profound transformation. International buyers are increasingly using smartphones to source suppliers, submit inquiries, and conduct live negotiations—accelerating cross-border B2B trade from traditional desktop workflows into a mobile-first, real-time era.

As a leading global B2B trade platform, Ecer.com continues to drive mobile and intelligent innovations across cross-border commerce. By seamlessly integrating instant messaging, AI multilingual translation, VR factory inspections, and HD video negotiations into a unified mobile solution, ECER empowers buyers and suppliers to achieve high-efficiency collaboration from initial inquiry to final order execution.

Shattering Communication Lag: On-Demand Global Sourcing
Unlike traditional foreign trade that relied heavily on slow email exchanges and time-consuming physical factory visits, mobile technology makes cross-border communication effortless and immediate. Global buyers can inspect supplier profiles, initiate inquiries, and leverage AI real-time translation alongside video conferencing to clarify product specs on the fly—dramatically compressing communication cycles and elevating transaction velocity.

Building Digital Trust: Immersive VR Inspections Replace Weeks of Travel
Establishing trust across borders remains a cornerstone of international trade. ECER’s mobile platform leverages VR factory tours and 720-degree panoramic showcases, allowing overseas buyers to virtually inspect production environments, machinery capabilities, and quality control systems without traveling thousands of miles—dramatically accelerating procurement decision-making.

Case Study: From 7 Days to 2 Hours — Accelerating South American Deals
Shenzhen Calinmeter Co,.LTD was in talks with a major buyer in South America who originally planned a third-party physical factory audit—a process estimated to take over a week. Utilizing Ecer.com’s mobile VR factory tour and live video inspection, the client completed the evaluation remotely in just two hours, verified production capacities on the spot, and rapidly moved forward with contract negotiations.

Seamless Anywhere Operations: Managing Global Business on the Go
ECER has fully mobilized key business touchpoints—including inquiry management, instant communication, remote factory audits, and real-time order tracking. Whether enterprise teams are in the office, on the factory floor, or attending overseas trade shows, they can manage global operations anywhere, anytime, ensuring unmatched market responsiveness and client service.

Shaping the Future of Mobile Cross-Border Commerce
Industry analysts note that mobility is becoming a core strategic pillar in the evolution of cross-border B2B trade. Future market leadership will be defined not only by product quality and pricing, but by response speed, service experience, and digital agility. Moving forward, Ecer.com will continue deepening its mobile and AI integration to drive a more intelligent, agile, and efficient global trade ecosystem for enterprises worldwide.

Expeed Software Launches Membora, an AI-Powered Association Management Platform

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Expeed Software Launches Membora, an AI-Powered Association Management Platform

Built on nearly two decades of working with membership organizations, Membora is a new AI-powered platform designed specifically for how associations operate.

Membora is built for membership-driven organizations, trade associations, professional societies, chambers of commerce, alumni associations, labor unions, nonprofits and clubs. With over 17 years of direct experience partnering with membership organizations, Expeed Software developed Membora to reflect that deep industry knowledge.

“Membora brings the entire member lifecycle onto one platform — membership, events, billing, and communications — so associations stop stitching tools together and start seeing their operations clearly. It’s built on an AI foundation, with a rich roadmap of AI capabilities ahead, because connected data is the prerequisite for real intelligence.”
– Rao Chejarla (CEO & Founder, Expeed Software).

Platform Highlights
● Membership management: online signup flows, bulk data imports, dedicated staff and member portals, and role-based administration, so members, chapters, and groups all live in one place.

● AI-powered membership intelligence: uses AI to help staff understand membership trends and cut down on manual admin work.

● Events and scheduling: staff can plan, promote, and run events from one calendar, managing registrations, sessions, capacity, and chapter scheduling from a single workshop to a full annual conference.

● Member engagement and communication: staff can publish resources, manage notification preferences, and track member activity history, with renewal reminders going out on a set cadence — 60, 30, and 7 days before expiry, then on the renewal date itself.

● CRM and operations: staff can manage relationships through pipelines, assign and track tasks, log every interaction, and see how things are going through dashboards built for real decisions.

● Billing and membership revenue: billing and invoicing are automated, payments are tracked as they land, and staff can see exactly where revenue stands by tier, by chapter, and by member.

● Administration and platform: organizations can apply their own branding, manage users centrally, control who has access, and run multiple organizations from one account.

·● Migration and setup: a migration wizard maps existing data, deduplicates records, and validates everything before going live, making it easier for associations to move off an older system without the usual disruption.