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Locality Appoints Kouros Esfahany as Chief Technology Officer to Accelerate Cross-Platform Innovation in Local TV Advertising

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Locality Appoints Kouros Esfahany as Chief Technology Officer to Accelerate Cross-Platform Innovation in Local TV Advertising

Veteran ad-tech executive to lead next phase of scalable technology and data-driven growth

Locality, the leading local TV advertising platform connecting brands to local audiences across broadcast and streaming, announced the appointment of Kouros Esfahany as chief technology officer.

Kouros joins Locality as the company advances its unified platform across the local TV ecosystem and centralizes its data strategy following its introduction of Audience Engine, Locality’s proprietary data infrastructure that transforms more than 25 billion local data signals into high-fidelity predictive audiences, driving real-time performance across local markets.

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“As broadcast and streaming continue to converge, the need for a unified, data-driven approach to local advertising has never been greater,” said Michael Collins, CEO of Locality. “We’ve been building the technology and data foundation to support that shift, giving buyers and planners a clearer, more consistent way to plan, execute, and measure campaigns across markets and better understand the distinct value broadcast and streaming each deliver. Kouros has a proven ability to turn complex technology into real outcomes, and he’ll play a key role in what comes next for us.”

As CTO, Kouros will lead the continued evolution of Locality’s technology, including LocalX, its proprietary platform for planning, buying, and optimizing local video campaigns; Darwin, its AI-powered local broadcast planning and optimization solution; and Collective, which enables national planning and activation across local TV at scale. He will also build on Audience Engine, advancing the data and AI capabilities that drive more effective local execution and performance for advertisers.

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“Local advertising is undergoing a profound transformation as scale and precision come together,” said Kouros. “Locality has built a strong cross-platform footprint across the TV ecosystem, combined with historical local campaign data and advanced analytics in a single, unified workflow. My focus will be on accelerating the technology that connects these pieces—using automation, AI-driven insights, and integrated data infrastructure to power a more intelligent and efficient marketplace between buyers and premium local TV inventory.”

A published author and holder of 14 U.S. patents, Kouros brings unique experience in bridging long-term technology vision with practical business outcomes. A well-known tech innovator, he previously served as Chief Technology Officer at XR Extreme Reach and eBay, and SVP of Engineering at FreeWheel, and has held other leadership roles throughout his career. With this appointment, Locality reinforces its commitment to a platform-driven future for local advertising, one that combines massive local reach, predictive audience insights, and unified execution across broadcast and streaming environments to deliver a fully unified, accountable, and data-driven future of local TV advertising.

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Bland Unveils First AI Assistant That Builds Production-Ready Voice Agents From a Single Prompt

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Bland Unveils First AI Assistant That Builds Production-Ready Voice Agents From a Single Prompt

The first AI assistant purpose-built for voice agent development, turning weeks of development into minutes

Bland, the voice AI platform built for real conversations, announced Norm, the first AI assistant that enables technical teams to build a robust voice agent from a prompt. Norm significantly reduces the time to build an agent, while Bland’s development platform ensures that the agent works reliably and safely in production.

Building voice agents has traditionally required specialized expertise. Unlike chat-based systems, voice agents must handle speech patterns, interruptions, and tone control, all while operating at ultra-low latency (often under 400 ms) to deliver natural, human-like responses. Most people aren’t voice AI prompting experts. Until now, customers often relied on Bland’s Forward Deployed Engineers (FDEs) to safely implement changes or launch new agents.

Norm changes that. Norm codifies Bland’s expertise in building production-grade voice agents, giving customers the equivalent of their own personal FDE.

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With Norm, users can type a simple instruction. For example: “Build me a full scheduling agent and integrate with my Cal.com.” The system automatically generates the prompt, persona, agent, pathways, validation conditions, extraction rules, and API integrations. They can then thoroughly test the agent before deploying it live.

All changes are created on a safe branch. Users can review diffs between the original and updated prompts, validate the pathway, and run prompt-based unit tests before going live. Norm even simulates real customer calls to review, find issues, and improve your pathways.

“We’ve spent years learning what makes a voice agent work in production,” said Isaiah Granet, CEO of Bland. “The timing, the structure, the hundred small things that go wrong when you treat voice like chat. Norm is all of that knowledge in a tool. You tell it what you want. It builds something that actually works on the phone.”

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Introducing the Industry’s First AI Assistant for Building Voice Agents

Norm is your personal FDE that transforms natural-language instructions into production-safe conversational logic. Norm automatically validates changes between prompts, and can handle extractions, loop conditions, API integrations, and warm transfers seamlessly.

Key capabilities include:

  • Natural-Language Prompts: Describe what you want your voice agent to do; Norm generates the structured prompt, agent, and pathways for you automatically. No engineering resources needed.
  • Diff Visibility: Instantly compare changes between the original and updated prompts before deployment.
  • Safe Branching: All updates occur in a protected branch, enabling review and validation prior to going live.
  • API Integrations: Add external data sources or actions mid-flow and test API requests before activation.
  • Files & Knowledge Bases: Upload files or attach your existing Knowledge Bases for Norm to reference when building or modifying your pathways.
  • Self-Service Execution: Technical teams can launch or modify agents with Norm available 24/7 as their personal FDE.

New voice agents can be built in minutes, and live in production in days, not weeks, while maintaining control and safety.

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ViewLift and MyOutdoorTV Launch Conversational AI Search to Transform Streaming Discovery for Outdoor Enthusiasts

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ViewLift and MyOutdoorTV Launch Conversational AI Search to Transform Streaming Discovery for Outdoor Enthusiasts

New AI-powered feature enables natural language content discovery across MOTV’s extensive hunting, fishing, and adventure programming library

ViewLift, a global leader in digital streaming technology, and MyOutdoorTV (MOTV), the premier subscription streaming platform for outdoor lifestyle programming, announced the launch of ViewLift Conversational AI Search, an advanced AI-powered discovery capability designed to help subscribers find relevant outdoor content faster and more intuitively.

New AI-powered feature enables natural language content discovery across MOTV’s extensive adventure programming library.

The new feature enables natural language search across the MyOutdoorTV platform, currently available on the web with connected TV voice support rolling out in the near term. By moving beyond traditional keyword search, the system interprets user intent to deliver highly relevant results across MOTV’s extensive library of hunting, fishing, and outdoor adventure content.

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Powered by a semantic intelligence layer that combines vector search with retrieval-augmented generation (RAG), the technology analyzes titles, deep metadata, and transcripts across MOTV’s catalog to understand context, intent, and relationships between topics. The result is a discovery experience similar to the intuitive search used by leading streaming platforms such as Netflix—allowing viewers to move beyond simple keyword matches and surface highly relevant content through natural language queries. For example, users can search with detailed prompts such as “Show me archery elk hunts in the Colorado Rockies” or “Find fly fishing techniques for trout in fast-moving water,” instantly retrieving the most relevant videos from across the library.

“At ViewLift, our focus is on using AI to create experiences for end customers leveraging the latest technology only used by big companies like Netflix. This new experience allows users to search using concepts, keywords by typing or using voice.” said Manik Bambha, President of ViewLift. “Conversational discovery dramatically reduces the time between intent and viewing. For MyOutdoorTV’s passionate audience, it means faster access to the exact hunting, fishing, or outdoor content they want, while increasing engagement across the platform.”

Search results appear in a dynamic visual video grid, enabling subscribers to browse multiple experts, shows, and techniques simultaneously. As viewers refine their search within the same session, results update instantly to reflect the evolving conversation.

To further streamline discovery, the interface includes an interactive hover-to-play trailer capability, allowing viewers to preview clips directly from the search grid before launching full episodes. This reduces search friction and helps audiences quickly validate whether a program matches their interests.

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“With thousands of episodes covering every aspect of the outdoor lifestyle, helping subscribers discover relevant content quickly is essential,” said Sean Luxton, Sr. Vice President and General Manager at MOTV. “ViewLift’s Conversational AI Search introduces a smarter, more intuitive way for hunters, anglers, and outdoor enthusiasts to explore our programming and connect with the content they love.”

The conversational search experience also supports contextual follow-up queries, enabling viewers to refine results without restarting their search—for example, filtering by a specific expert, species, technique, or location.

By shifting from keyword-based discovery to intent-based conversational navigation, the new feature is designed to reduce search fatigue, surface long-tail content across MOTV’s library, and increase overall viewing time.

The launch represents a significant step forward in applying generative AI and semantic search technologies to OTT streaming platforms, positioning ViewLift and MyOutdoorTV at the forefront of AI-driven content discovery for specialized video services.

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MessageGears Delivers Warehouse-Native Revenue Tracking for Enterprise Marketers With New Cross-Channel Conversion Analytics

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MessageGears Delivers Warehouse-Native Revenue Tracking for Enterprise Marketers With New Cross-Channel Conversion Analytics

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By connecting campaign performance directly to data warehouse insights, MessageGears enables cross-departmental alignment and attribution accuracy that legacy platforms can’t match.

MessageGears, the leading warehouse-native data activation and engagement platform for enterprise brands, announced the launch of conversion reporting — a new suite of capabilities that ties campaign performance and revenue analytics directly to data warehouse insights without adding tools to the stack.

“This release delivers attribution reporting directly on top of the warehouse, so revenue metrics hold up when analytics and finance teams look at them – not just when marketing does.” -Eugene Yukin, VP of Product at MessageGears

Why warehouse-native architecture changes what’s possible in attribution

Most marketing platforms that offer conversion reporting have a fundamental limitation: their analytics are only as good as the data they’ve been given access to. Legacy ESPs, CDPs, and marketing clouds often rely solely on SDKs and/or APIs to fuel attribution, which can cause a disconnect with the full customer profile living in the data warehouse.

MessageGears works differently. As a truly warehouse-native platform, MessageGears reads data in-place right from an organization’s existing warehouse environment. Conversion reporting is built on that same foundation, which means revenue and conversion metrics are tied directly to the dataset that teams already trust.

“Most platforms treat conversion data as something separate from the warehouse. That disconnect is why marketing, BI, and finance teams end up arguing over whose numbers are right,” said Eugene Yukin, VP of Product at MessageGears. “This release delivers attribution reporting directly on top of the warehouse, so revenue metrics hold up when analytics and finance teams look at them – not just when marketing does.”

Beyond using warehouse data at the source, MessageGears seamlessly incorporates data via SDKs and APIs too. The result is attribution that’s more accurate, more complete, and more credible across marketing, data, and finance leaders.

Cross-departmental alignment starts with a single source of truth

For large enterprise organizations, one of the most persistent challenges in marketing analytics isn’t just measurement. It’s getting the marketing, business intelligence, and finance teams aligned on the same numbers. When campaign conversion data is siloed from the warehouse, discrepancies are inevitable. Reconciling those discrepancies takes time, erodes trust in marketing reports, and slows down decision-making.

“Every other platform asks you to jump through hoops to even attempt cobbling together attribution numbers. We’re not,” said Yukin. “Our customers get revenue and conversion metrics tied directly to their existing source of truth, which means they’re reliable and they hold up when other teams scrutinize them.”

Because MessageGears attribution feeds directly from and back into the data warehouse, conversion metrics are grounded in the same source of truth that data engineering and analytics teams already rely on. Marketers can report on revenue impact with confidence, knowing they’re looking at the same numbers as their colleagues. BI teams don’t have to field requests to validate numbers against another platform. And leadership gets a consistent picture of how specific campaigns and channels are driving business outcomes.

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What MessageGears’ conversion reporting capabilities include

Data admins can now access live purchase events and behavioral insights inside MessageGears directly from their data warehouse. Revenue is then automatically calculated and attributed back to campaigns across email, SMS, push, in-app, and embedded messaging. A new event management page gives teams full control over which event types are tracked, and marketers can use their own custom event labels to ensure consistency across reports regardless of how events are named in the underlying warehouse dataset.

The new conversions dashboard provides a unified view of how messaging drives action and revenue over time, filterable by channel, account, and timeframe. At the campaign level, visibility into purchases, revenue, and average order value make it straightforward to see which campaigns are contributing to the bottom line. Attribution windows default to 24 hours and are customizable by channel, using a last-clicked attribution model.

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“In other platforms, conversion metrics can typically only be viewed at the campaign level, whereas we’re providing visibility into how marketing performs holistically – in addition to giving the campaign-level breakdowns people are used to,” said John McGrath, Senior Product Manager at MessageGears. “These deeper insights identify top and bottom performing channels, messages, and segments. And marketers can subsequently apply those insights to inspire new campaigns and strategies.”

Critically, none of this requires changes to existing campaign setup. Once events are configured in MessageGears from the warehouse, the platform immediately begins attributing conversion events to live campaigns. Nearly all other engagement platforms require conversion events to be configured up front at the campaign level – and they prohibit changing those events once a campaign is launched. MessageGears’ solution is much more flexible. Not only is there no need to configure events in advance, but all campaigns can also be assessed against any event at any time.

“We kept hearing brands vent about having confidence in their warehouse data but not in their marketing platform’s reporting,” said McGrath. “That gap creates real problems. Not just for marketers trying to prove ROI, but for cross-functional alignment across the entire organization. Plus, teams want to deeply understand how campaigns impact a variety of customer actions – not necessarily just positive activity. MessageGears’ flexible approach to conversion reporting closes that gap by making the warehouse the true engine behind marketing attribution, not an afterthought.”

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Similarweb Appoints Harel Beit-On as Chairman of its Board of Directors

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Similarweb Appoints Harel Beit-On as Chairman of its Board of Directors

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Similarweb Ltd., a leading digital market intelligence company, announced the appointment of Harel Beit-On as Chairman of its Board of Directors. Mr. Beit-On has served as a member of Similarweb’s Board since 2017 and brings more than 30 years of experience in leadership positions and investment in technology companies. A co-founder and General Partner of the Viola Group, Mr. Beit-On has a strong investment track record as well as a long standing familiarity with Similarweb.

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Or Offer, Founder and CEO of Similarweb, said, “Harel has been a trusted advisor, mentor, and partner to me and to Similarweb over many years. As AI transforms how decisions are made across every industry, we believe Similarweb is uniquely positioned to become a foundational data layer powering this shift. Harel’s perspective, and ten years working closely with the company positions him really well for the role.”

“I am honored to assume the role of Chairman and to continue working closely with Or and the Similarweb leadership team. Similarweb has built a unique and highly valuable digital data asset that provides critical insights to customers worldwide. I firmly believe that we are only beginning to realize the opportunity this data asset provides in the age of AI,” Harel Beit-On said. He added ”I plan to support Similarweb’s strategic growth plans and its focus on generating long term shareholder value.”

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Mr. Beit-On is one of the co-founders of the Viola Group and Founder of Viola Growth, where he serves as General Partner. He previously served as CEO, President and Chairman of Tecnomatix, leading the company through its sale to UGS. He also served as the Chairman of ECtel and as Chairman of Lumenis . He currently sits on the boards of several technology companies. Mr. Beit-On holds a B.A. in Economics from The Hebrew University of Jerusalem and an MBA from the MIT Sloan School of Management.

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iOPEX Recognized for Outcome-driven Enterprise Transformation in HFS Horizons: Agentic Services, 2026 Report

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iOPEX Recognized for Outcome-driven Enterprise Transformation in HFS Horizons: Agentic Services, 2026 Report

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HFS affirms iOPEX’s industry-proven ability to embed scalable agentic workflow automation through its proprietary AI platform, ElevAIte.

iOPEX Technologies, a leader in agentic AI and automation-led enterprise transformation delivering Intelligence as a Service, announced it has been recognized as a Horizon 2 Enterprise Innovator in the HFS Horizons: Agentic Services, 2026 report — a comprehensive assessment of global service providers on their ability to deliver agentic AI at enterprise scale.

HFS Research’s assessment evaluated each provider across value proposition, execution, go-to-market strategy, and measurable client impact. As highlighted in the report, iOPEX empowers enterprises to overcome manual inefficiencies, fragmented systems, and barriers to AI adoption. By orchestrating multi-agent systems, iOPEX’s Intelligence as a Service approach connects front, middle, and back-office workflows through a phased framework of intelligent workflow transformation, agent development, and continuous optimization to drive efficiency, system unification, and compliant innovation.

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“The enterprises winning with AI today are the ones where an always-on intelligence layer is embedded into operations, not layered on top of it. At iOPEX, we’ve built our entire approach around that conviction: Intelligence as a Service, outcomes as a commitment, and cost that declines every quarter for clients. This recognition from HFS affirms our structurally different approach to transforming enterprise business functions with embedded intelligence,” commented Shiva Ramani, Founder & CEO, iOPEX Technologies.

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“iOPEX is bringing domain expertise, technical acumen, and a strong win-win gain-sharing game to agentic services. And, as you’d expect of the firm’s Ops DNA, a robust framework for AgentOps,” added David Cushman, Executive Research Leader, HFS Research.

At the core of iOPEX’s delivery model is ElevAIte, the productized foundation of Intelligence as a Service and a comprehensive suite of domain-focused Command Agents for CX, Field Service, Infrastructure, Security, Platform, Sales, Marketing, and Finance operations. And what sets iOPEX apart is its strong domain expertise, governance, and alignment with business outcomes, as validated in the report.

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Xnurta Appoints Former WPP Commerce Executive Luis Pedro Martinez as Managing Director, Europe

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Xnurta Appoints Former WPP Commerce Executive Luis Pedro Martinez as Managing Director, Europe

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London-based hire signals continued global expansion and dedication to empowering agencies to combine human control with AI-driven innovation

Xnurta, the award-winning agentic AI-powered advertising platform in retail media, announced that Luis Pedro Martinez has joined the company as Managing Director, Europe, based in London.

Luis brings a rare combination of deep technical expertise and hands-on experience scaling commerce within global agencies.

Martinez brings more than 15 years of experience across technology, retail media, and agency leadership, most recently serving as a VP at WPP Media UK. His appointment marks a significant step in Xnurta’s international expansion and deepens its engagement with global brands and agency partners navigating the shift toward AI-driven advertising.

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“At Xnurta, we’re focused on building the future of retail media through AI,” said Kashif Zafar, CEO of Xnurta. “Luis brings a rare combination of deep technical expertise and hands-on experience scaling commerce within global agencies. As brands and agencies look to move faster and operate more intelligently, his leadership will be instrumental in helping them unlock the full potential of AI-driven advertising.”

Martinez began his career in digital advertising roles at Microsoft and Amazon, where he spent over a decade working at the intersection of data, infrastructure, and retail media during his formative years. He later joined Jellyfish, helping scale the agency’s Amazon practice into one of the largest in Europe, managing over $100 million in media. That model ultimately became a foundation for commerce capabilities within WPP.

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At WPP, Martinez played a key role in advancing commerce media strategy during a period of transformation. He grew his team from 20 to 65 people, consolidating all commerce staff under one practice.

“Commerce media is entering a new phase where AI is not just optimizing campaigns, but driving decision-making,” said Martinez. “Xnurta is built natively for that future. It brings together measurement, intelligence, and automation in a way that reflects where the market is going.”

Based in London, Martinez will lead Xnurta’s European operations, focusing on expanding partnerships with brands and agencies, supporting omnichannel commerce strategies, and accelerating adoption of AI-powered advertising solutions across the region.

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o9 Launches APEX: The Agile, Adaptive, Autonomous Planning and Execution Capability to Accelerate Enterprise Value Creation in the AI Era

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o9 Launches APEX: The Agile, Adaptive, Autonomous Planning and Execution Capability to Accelerate Enterprise Value Creation in the AI Era

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Strong Client Adoption and Execution, with Record Go-Lives in 2025 Underscore Growing Demand for Faster, Learning-Driven Enterprise Decision-Making

o9, a leading software company that is powering enterprise planning and decisioning models across 30-plus industry verticals with its groundbreaking, AI-powered Digital Brain platform, reported key highlights from 2025, including strong new client adoption, more than 130 successful go-lives, and 28 consecutive quarters of ARR growth. These results reflect growing demand for faster, learning-driven decisioning in a business environment shaped by volatility, uncertainty, complexity, and ambiguity (VUCA). During the year, o9 also introduced its APEX Model, a game-changing innovation for the new normal of rising volatility and complexity, designed to help current enterprise operating models rapidly identify and fix value leakages occurring across the value chain by evolving every aspect of end-to-end decision-making capabilities with Agentic AI.

The APEX Model is a set of Agile, Adaptive, and Autonomous Planning and Execution capabilities that help companies convert strategy into higher growth, improved margins, and cash flow year after year, and deliver results predictably quarter after quarter. It provides enterprises with a Human + AI decision-making system designed to:

  • Rapidly sense granular risks and opportunities across the value chain
  • Analyze forecasts and plan improvement scenarios
  • Learn from execution vs. plan deviations
  • Continuously improve data, policies, and playbooks with each cycle
  • Progressively automate well-governed decisions and workflows

The next-generation o9 Digital Brain provides the technology platform for the APEX Model. The key invention that made it possible is the new Enterprise Knowledge Graph technology powered by Neuro-Symbolic AI. This invention connects the strengths of LLMs (Neural AI) and the strengths of the original Enterprise Knowledge Graph (Symbolic AI), which has been proven to solve enterprise decision-making at scale in large companies. With the APEX Model, situation detection, analysis, and decision-making power moves to the edges, reducing layers between front lines and executives, as well as latencies and frictions across functions. Embedding learning directly into day-to-day decision workflows enables organizations to move beyond periodic planning cycles toward continuous improvement.

By enabling organizations to plan, execute, learn, and improve faster as one enterprise, one team with one unified plan, the APEX Model strengthens coordination across the value chain and drives a new level of value creation.

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“When LLMs emerged, we immediately saw their strengths and weaknesses in an enterprise decision-making context. Given our AI roots, we were laser-focused on connecting them to the Enterprise Knowledge Graph to solve the toughest challenges in driving operational value,” said Chakri Gottemukkala, Co-Founder, Chairman, and CEO, o9. “With o9’s breakthrough Neuro-Symbolic AI technology to power the APEX Model, enterprises can now learn systematically from post-game analysis, improve faster across functions, deploy new capabilities at the pace of the market, and continuously evolve their operations. Our clients see APEX as a strategic differentiator for their businesses in the coming years.”

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Additional highlights from 2025 include the following:

  • Record Number of Deployments: o9 successfully completed more than 130 go-lives, spanning integrated business planning, demand and supply planning, master planning, procurement analytics, and advanced retail workflows. These deployments demonstrate the flexibility of o9’s platform and the team’s ability to deliver at scale across multi-domain, global environments, while helping customers shorten the distance between plans and outcomes. In Q4 2025, o9 signed a range of new clients across retail, apparel, supplier manufacturing, automotive and industrial suppliers, and capital equipment, while also expanding deployments with existing customers in telecom and consumer products. Momentum was particularly strong in the Americas, with notable traction in retail and consumer-facing industries.
  • AI in Production and Post-Game Analysis: o9 moved multiple AI pilot initiatives into production environments, expanding the use of AI agents across planning and execution processes. The Company also advanced its Performance Post-Game Analysis (PGA) capabilities, which help organizations analyze execution versus plan, identify root causes of value gaps, and prioritize transformation initiatives based on measurable impact. By turning decision outcomes into institutional learning, PGA strengthens the adaptive dimension of APEX and supports sequencing digital transformation based on where value leakage is highest.
  • o9: A Customers’ Choice: In October 2025, o9 was the only vendor to be recognized as a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer for Supply Chain Planning Solutions, based on end-user reviews published on Gartner Peer Insights.* One of 16 other vendors included in the report, o9 was the sole software provider that received scores that met or exceeded the market average for both Overall Experience and User Interest and Adoption based on aggregated peer feedback. o9 believes the recognition reflects how customers experience the Company in real operating conditions and underscores its focus on execution, adoption, and value realization.
  • Additional Analyst Recognition: In 2026, o9 was named a Leader in the 2026 Gartner® Magic Quadrant™ for Supply Chain Planning Solutions: Process Industries and the 2026 Gartner® Magic Quadrant™ for Supply Chain Planning Solutions: Discrete Industries. o9 was also named a Niche Player in the inaugural 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms. Throughout 2025, o9 was referenced in 36 independent industry analyst research reports across supply chain, retail, AI, and related enterprise domains, reflecting third-party recognition of its expanding platform capabilities and market presence.
  • o9 aim10x, Connect Events: o9’s aim10x digital 2025 event attracted 6,700-plus global registrants, while in-person aim10x summits and o9 Connect events in Europe, Asia, and the Americas brought together more than 3,200 attendees and 190 speakers across consumer goods, retail, manufacturing, and technology. These forums emphasized applied learning and peer exchange, with a focus on how organizations are using connected planning and execution to drive measurable business outcomes.
  • Social Impact at o9: In 2025, o9 received a Platinum Medal from EcoVadis, ranking in the top 1 percent globally. In addition, o9ers and The Company raised more than $249,000 in donations and matching contributions, supported 180+ children through the Make a Difference partnership, and logged more than 3,200+ volunteer hours worldwide.

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Jaarvis Expands AI Software Development Services in Australia to Help Enterprises Scale with Intelligent Solutions

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Jaarvis Expands AI Software Development Services in Australia to Help Enterprises Scale with Intelligent Solutions

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Jaarvis Technologies, a global provider of enterprise technology solutions, announced the expansion of its AI Software Development Services in Australia, aimed at helping businesses accelerate digital transformation, automate operations, and unlock data-driven growth.

As Australian enterprises increasingly adopt artificial intelligence to stay competitive, Jaarvis Technologies is delivering tailored AI solutions that integrate seamlessly with existing business systems. The company’s services focus on building scalable, secure, and high-performance AI applications for industries including finance, logistics, healthcare, retail, and manufacturing.

The AI Software Development Services in Australia offered by Jaarvis Technologies include machine learning model development, predictive analytics, intelligent automation, AI-powered chatbots, and custom AI application development. These solutions are designed to help organizations reduce operational costs, improve decision-making, and enhance customer experiences.

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“Businesses in Australia are rapidly moving towards AI-driven operations, but many struggle with implementation and scalability,” said Jaspal Sarai, CEO of Jaarvis Technologies. “Our AI Software Development Services in Australia are designed to bridge that gap by delivering practical, results-driven solutions tailored to each organization’s needs.”

Jaarvis Technologies follows a consultative approach, working closely with clients to identify high-impact use cases and develop AI solutions that align with business objectives. The company also ensures seamless integration with ERP systems, cloud platforms, and enterprise applications to maximize efficiency and ROI.

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With a growing presence in the Australian market, Jaarvis Technologies continues to support organizations in building intelligent systems that drive innovation and long-term growth. The company’s expertise in AI, ERP, and enterprise software development positions it as a trusted technology partner for businesses seeking sustainable digital transformation.

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AI-Driven Search Trends Influence SEO Strategies for Brisbane Businesses

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AI-Driven Search Trends Influence SEO Strategies for Brisbane Businesses

Digital Marketing Brisbane - Jason Suli Digital Marketing

AI-driven SEO is transforming search visibility, helping Brisbane businesses adapt to AI-powered results and improve online presence.

AI-driven search technologies are increasingly influencing how businesses achieve visibility online, as search engines expand their use of artificial intelligence to generate answers, summaries, and recommendations. This shift is changing how information is delivered to users, with greater emphasis placed on relevance, context, and structured data. Industry observers note that traditional ranking signals alone are becoming less dominant in determining visibility.

In response to these developments, digital marketing agencies are beginning to adjust their strategies to align with AI-powered search environments. This includes changes to how website content is structured, how information is presented, and how businesses establish authority across digital platforms. These adaptations reflect broader changes in how search engines interpret and prioritise information.

Jason Suli Digital Marketing, a Brisbane-based agency, is among those incorporating AI-focused SEO methodologies into its approach. The agency’s work reflects a growing trend within the industry toward aligning digital strategies with how artificial intelligence systems process meaning and intent. This includes an increased focus on structured content, entity signals, and consistency across online channels.

Search behaviour is also evolving as users increasingly rely on direct answers rather than browsing multiple websites. AI-powered features are shaping how results are displayed, often summarising information and recommending businesses based on perceived authority. This shift is influencing how businesses compete for visibility in both local and broader search results.

AI SEO, as it is commonly described, involves structuring content so it can be more effectively interpreted by artificial intelligence systems. It also includes strengthening entity recognition and ensuring consistency across digital touchpoints. These elements are becoming more important as search engines continue to refine how they evaluate and present information.

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“Search is no longer just about rankings — it is about how information is selected and presented to users,” said Jason Suli, Founder and CEO of Jason Suli Digital Marketing. “These changes are influencing how businesses approach their online presence.”

For businesses targeting local search terms such as SEO Brisbane and digital marketing Brisbane, these developments may have a direct impact on visibility. Industry trends suggest that businesses will need to consider both traditional optimisation techniques and emerging AI-focused SEO strategies. This reflects a broader shift toward more complex and adaptive search environments.

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The implications of AI-driven search are particularly relevant for local markets such as Brisbane. As search systems increasingly rely on artificial intelligence, visibility may depend more heavily on how clearly a business is understood within a given context. This places greater emphasis on structured data, clarity of services, and consistency across digital platforms.

As artificial intelligence continues to shape the future of search, further changes in SEO strategy are expected. Businesses and agencies alike are likely to continue adapting their approaches to align with evolving search technologies. This ongoing shift highlights the importance of monitoring industry trends and adjusting digital strategies accordingly.

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Signal AI Acquires Memo to Bring First-Ever Real Readership Data into Reputation Intelligence

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Signal AI Acquires Memo to Bring First-Ever Real Readership Data into Reputation Intelligence

Signal AI is building the reputation and risk tech modern leaders need to navigate a volatile world

Signal AI, a global leader in AI-driven reputation and risk intelligence, announces its acquisition of Memo, the world’s first and only platform providing readership data directly from publishers. Memo currently serves the world’s leading Fortune 500 customers, including Google, Pepsi, Walmart, Keurig Dr. Pepper, and PayPal.

For too long, PR teams have relied on “vanity metrics” like potential reach, impressions, or AVE to measure the impact of press coverage. Counting mentions alone doesn’t cut through the noise; Memo’s data reveals exactly how many people are reading about a brand at the article level. Memo customers have called their platform data “the holy grail solution” for measuring true readership.

This acquisition will integrate real readership metrics into Signal AI’s reputation and risk intelligence platform and services, giving Chief Communications Officers (CCOs) and reputation management teams a clearer, more holistic view of how their stories actually perform, what’s shaping their reputation, and which narratives pose a genuine threat to their brand. This shift will benefit Signal AI’s 800+ global customers, who already rely on compliant coverage across traditional media, social, podcasts, and regulatory filings to protect their brand value.

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This marks the first time real publisher readership data has been integrated into an AI-powered reputation intelligence platform.

Key strategic benefits of the acquisition include:

  • Ending an era of vanity metrics: A powerful blend of Signal AI’s trusted data—including share of voice, AI entities and topics, sentiment, and salience—with Memo’s unique readership data and direct relationships with premier publishers will dramatically improve reputation intelligence.
  • Impact-based crisis intelligence: Signal AI’s monitoring & alerting capabilities will be augmented with Memo’s readership data. This enables impact-based alerting, helping teams prioritize genuine reputational threats and avoid wasting precious resources on isolated incidents or short-lived noise.
  • C-suite-ready PR measurement: Finally, give PR teams accurate, C-suite-ready metrics for reporting and decision making so they know where to invest or pull back, while proving the true business value of earned media for publishers.

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Commenting on the acquisition, David Benigson, CEO & founder of Signal AI, said: “Our core mission at Signal AI is to serve today’s modern Communications leaders and help them protect brand value and build trust. The future with Memo means a more powerful way to measure reputation for today’s leading organisations, accelerating Signal AI’s mission towards helping leaders see clearly, decide confidently, and act boldly.”

Eddie Kim, CEO of Memo, said: “Memo already works with many communicators at the world’s largest companies because they acutely feel the pain of needing real data in today’s world of deafening noise. Integrating Memo data into Signal AI’s market-leading platform creates a solution that becomes mission-critical for any communicator who needs to manage their reputation and risk.”

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Honeywell and Rhombus Introduce AI-Driven, Cloud Video and Access Solution to Modernize Building Security

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Honeywell and Rhombus Introduce AI-Driven, Cloud Video and Access Solution to Modernize Building Security

Collaboration addresses rising demand for integrated cloud access and video solutions that simplify management across multiple facilities

Honeywell announced a collaboration with Rhombus, a leader in cloud-based video management, to expand its cloud-connected security and access solutions portfolio with new, AI-powered video solutions. This furthers Honeywell’s effort to accelerate and modernize how customers approach building security, which began in 2024 with the acquisition of LenelS2.

Together, Honeywell and Rhombus will deliver integrated access control and video management in a single cloud solution that is easy to deploy, scale and manage.

“This strategic alliance combines the strength of Honeywell’s access solutions portfolio, domain expertise and global reach with modern cloud video capabilities and AI enhancements,” said Billal Hammoud, President & CEO, Honeywell Building Automation. “Together, we will offer an integrated, cloud-based solution that innovates while ensuring reliability and system resilience.”

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Companies are increasingly shifting to cloud-based security and cloud video. According to Omdia*, cloud video solutions are growing annually at more than 20% and are projected to be the fastest-growing segment in the security industry through 2029. The Honeywell-Rhombus offering is perfectly positioned to support a paced, cost-efficient cloud journey for thousands of commercial and enterprise operations around the world while helping them to reduce risk.

“At Rhombus, we’ve always believed the best physical security solutions are open platforms. By partnering with Honeywell, a company that shares our vision, we’ll be able to offer customers cutting-edge solutions across video security, access control, sensors, building controls and more,” said Garrett Larsson, co-founder and CEO of Rhombus. “With access to our complementary expertise and the deep AI capabilities of both organizations, customers will see immediate value from day one. We’re excited to work with Honeywell to make buildings more secure and intelligent.”

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Honeywell, through integration and a reseller agreement, will offer Rhombus products through its channel partners and system integrator networks. The companies will also partner on deeper integrations that bring Rhombus’ AI analytics directly into Honeywell’s access control platforms. With Rhombus’ AI-powered platform, customers will be able to gain insights from video data beyond traditional surveillance, transforming video systems into a source of operational intelligence. Using capabilities such as Rhombus Insights, customers can train AI prompts to analyze activity patterns, investigate incidents more efficiently and better understand how physical spaces are being used.

The solution is designed for a variety of commercial environments, including retail chains, fitness centers, schools and other distributed sites. Rhombus products will initially be available through Honeywell in North America before deployment across other regions.

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Cognitiv Declares the End of Static Audience Segments with the Launch of AudienceGPT

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Cognitiv Declares the End of Static Audience Segments with the Launch of AudienceGPT

Built on the same Deep Learning Advertising Platform as ContextGPT, AudienceGPT predicts consumer journeys to create dynamic audiences

Cognitiv, the leading advanced performance partner powered by deep learning, announced a major expansion of its platform with the launch of AudienceGPT™, an AI-powered tool that helps marketers identify audiences based on real-time consumer journeys. AudienceGPT moves audience targeting beyond static segments and stale browsing data by analyzing behavioral signals to identify not just an action someone took in the past, but whether they are likely to take action now.

“AudienceGPT represents the next big step in our Cognitiv Everywhere strategy. Our goal is to bring our platform’s deep learning intelligence to every part of the advertising ecosystem.” – Jeremy Fain, CEO and Co-Founder of Cognitiv

AudienceGPT is powered by the same deep learning engine behind the award-winning ContextGPT™, Cognitiv’s AI-powered contextual targeting solution that analyzes content environments to identify the most impactful ad placements. While ContextGPT determines the most relevant moments within content, AudienceGPT predicts where consumers are in the purchase funnel and what products they may be interested in. The solution enables marketers to target dynamic predictive audiences across audio, CTV, social, and programmatic channels. Marketers can activate AudienceGPT audiences through Cognitiv’s DSP, or deploy them as Deal IDs or segments in the SSP or DSP of their choice.

The challenge marketers face is not a lack of data, but the lag between insight and action, when those signals are already outdated. Traditional audience segments group people into broad categories based on simple signals like a search, a page visit, or a click, then lock those assignments in place for long periods of time. As a result, budgets are wasted on audiences that are poorly or too broadly defined, or are no longer timely. AudienceGPT takes a fundamentally different approach. By understanding the audience an advertiser is trying to reach, Cognitiv’s Deep Learning Advertising Platform develops synthetic consumer journey profiles that can then be found programmatically. The audiences can be updated in as little as fifteen minutes to ensure they are never stale, and can be resized on the fly based on precision and budgetary requirements.

“AudienceGPT represents the next big step in our Cognitiv Everywhere strategy. Our goal is to bring our platform’s deep learning intelligence to every part of the advertising ecosystem,” said Jeremy Fain, CEO and Co-Founder of Cognitiv. “ContextGPT understands the environment where an ad appears, while AudienceGPT understands the consumer behind the impression without outcome-based seed data. AudienceGPT gives marketers unified, predictive, scalable, adaptable targeting across all inventory including CTV, audio, and social. This gives them a big advantage in a hyper-competitive market where relevance and timing are everything.”

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It does not require outcomes data or segment taxonomy expertise, and is designed for how strategists actually want to work. Marketers simply describe their target audience in plain language through a chat-based interface and receive real-time persona recommendations, with transparent reasoning behind every recommendation. By evaluating each person individually using LLM-powered reasoning, AudienceGPT helps marketers understand how people make decisions so they can activate a custom segment with confidence at a speed that was previously impossible.

This product launches with the scale and precision of major industry partnerships. Expanded integrations with Magnite and Index Exchange deliver real-time supply curation, unlocking greater reach across display, video, CTV, and digital audio channels. AudienceGPT audience segments are securely distributed via LiveRamp Marketplace as ready-to-activate data products, powering scalable social campaign execution across leading platforms.

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“Consumer interests and behaviors shift quickly, and marketers need access to audience signals that reflect real-time shifts in behavior and intent,” said Paul Zovighian, VP Marketplaces at Index Exchange. “Through Cognitiv’s AudienceGPT and Index Marketplaces, buyers can activate high-fidelity signals closer to the supply source, helping them act on live signals and reach consumers when those moments matter most.”

“Streaming and digital audio comprise a significant amount of time where people engage with media, but audience targeting in those environments has lagged behind,” said Andrew Bez, VP, Enterprise Sales at Magnite. “Our integration with AudienceGPT changes the equation for media buyers. Brands can now reach people based on their real-time mindset across music and podcast streaming services, connecting with listeners when they are most receptive.”

By combining a decade of deep learning expertise with real-time audience creation, AudienceGPT helps advertisers eliminate guesswork, accelerate activation, and keep targeting aligned with real-world consumer behavior. This launch builds on Cognitiv’s strong 2025 momentum and recent enhancements to ContextGPT, which drove 388% growth in 2025.

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Omdia: Global Cloud Infrastructure Spending Rose 29% in Q4 2025 as Hyperscalers Scaled AI Infrastructure Investment

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Omdia: Global Cloud Infrastructure Spending Rose 29% in Q4 2025 as Hyperscalers Scaled AI Infrastructure Investment

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Omdia, global spending on cloud infrastructure services reached US$110.9 billion in Q4 2025, reflecting year-on-year growth of 29%. Growth accelerated from the previous quarter, marking the sixth consecutive quarter in which the market expanded by more than 20%. As enterprise AI demand shifts from experimentation to production deployment, hyperscalers are increasing investment to expand AI infrastructure capacity.

“For cloud vendors, the challenge is no longer just about scaling capacity quickly enough to meet surging demand,” said Rachel Brindley, Senior Director at Omdia.

Looking ahead to 2026, Omdia forecasts that global cloud infrastructure services spending will grow by 27%, with competitive differentiation increasingly shaped by infrastructure scale, capital efficiency and the strength of AI agent-related platform capabilities.

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During the quarter, AWS’s growth accelerated to 24%, while Microsoft Azure and Google Cloud recorded strong year-on-year growth of 39% and 50%, respectively. AI demand is no longer confined to specialized compute such as GPUs, but is also driving broader infrastructure demand across CPUs, storage, and networking. As enterprise AI adoption increasingly centers on agents, workflows, and data integration, organizations require infrastructure environments that can be effectively orchestrated, scaled, and governed. This reinforces the role of cloud platforms as the operational foundation for AI, while continuing to support the migration of both traditional and emerging workloads to the cloud.

Meanwhile, AWS, Microsoft, and Google Cloud all reported backlog growth, pointing to sustained demand and continued enterprise investment in AI and cloud infrastructure. Rising demand is also prompting hyperscalers to step up capital spending to accelerate AI infrastructure expansion. AWS expects capital expenditure to reach US$200 billion in 2026, more than 50% above the nearly US$132 billion recorded in 2025. Microsoft reported quarterly capital expenditure of US$37.5 billion, up by nearly US$15 billion year on year. Google, meanwhile, raised its 2026 capital expenditure guidance to between US$175 billion and US$185 billion, more than double the prior year’s level.

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“For cloud vendors, the challenge is no longer just about scaling capacity quickly enough to meet surging demand, but about doing so with discipline across investment pace, resource allocation, and global operational efficiency,” said Rachel Brindley, Senior Director at Omdia. “As AI continues to raise infrastructure requirements while constraints remain, vendors that can expand in a more targeted and efficient way will be best positioned to lead in the next phase of competition.”

At the same time, competition is increasingly extending beyond model access and infrastructure scale toward the application layer, particularly in the development and deployment of AI agents. “For enterprise customers, the key question is whether these capabilities can be embedded into existing systems, workflows, and data environments, and then scaled reliably in production,” said Yi Zhang, Senior Analyst at Omdia. “This is pushing cloud vendors to invest more heavily in tool governance, workflow orchestration, and deployment capabilities, helping AI move closer to operational use at scale.” For example, AWS has introduced productized agent offerings such as Kiro, Amazon Quick, Transform, and Connect, while Microsoft is extending agents into cloud operations and application modernization workflows.

AWS remained the leader in the global cloud infrastructure market in Q4 2025, with a 32% market share and 24% year-over-year revenue growth, up from the previous quarter. It ended Q4 with a total backlog of US$244 billion, underscoring sustained demand. AWS stated that Amazon Bedrock had reached a multi-billion-dollar annualized run rate, with customer spending increasing 60% quarter on quarter. In December 2025, AWS introduced Nova Forge, enabling enterprises to incorporate proprietary data during the early training stages of Amazon Nova models to build customized foundation models, known as Novellas. This supports deeper model customization for enterprise AI agents. AWS has also introduced productized agent solutions including Kiro, Amazon Quick, Transform, and Connect, helping translate AI model capabilities into tangible business value. Meanwhile, AWS continues to expand its global infrastructure footprint, with ongoing investment in data center capacity across Europe and the United States to support growing demand for AI compute.

Microsoft Azure remained the world’s second-largest cloud service provider in Q4 2025, with a 22% market share and year-on-year revenue growth of 39%. Since December 2025, Microsoft has continued to expand the range of models available in Azure AI Foundry, adding models such as Mistral Large 3, GPT-5.2, and Claude Opus 4.6, further reinforcing its position as an enterprise-grade multi-model AI platform. At the same time, Azure is moving agentic AI beyond model access and into enterprise execution. The launch of agentic cloud operations in February 2026 extended Azure Copilot into cloud operations and continuous optimization, while new agentic capabilities introduced in March across Azure Copilot and GitHub Copilot further integrated application modernization into an end-to-end workflow. On the infrastructure front, Microsoft announced in February that its Saudi Arabia East data center region will open in Q4 2026, further extending its localized cloud and AI footprint.

Google Cloud held its position as the world’s third-largest cloud service provider in Q4 2025, delivering robust year-on-year growth of 50% and expanding its market share to 12%. By the end of the quarter, it reported a total backlog of US$240 billion, up sharply from US$157.7 billion in Q3, underscoring improved demand visibility. In January 2026, Google entered a multi-year partnership with Apple to develop the next generation of Apple Foundation Models leveraging Gemini models and Google Cloud technologies. Since December 2025, Google Cloud has continued enhancing its enterprise AI platform, Vertex AI, with additions including Gemini Embedding, Gemini 3.1 Pro, and Nano Banana Pro/2 to further strengthen enterprise capabilities in retrieval, complex reasoning, and multimodal generation. Concurrently, it has strengthened enterprise AI agent readiness through tool governance in Vertex AI Agent Builder and Provisioned Throughput for stable, high-concurrency deployments.

Omdia defines cloud infrastructure services as the sum of bare metal as a service (BMaaS), infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) and container-as-a-service (CaaS) and serverless that are hosted by third-party providers and made available to users via the Internet.

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Infobip Supports Thousands of Startups and Scaleups Through Startup Tribe Programme

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Infobip Supports Thousands of Startups and Scaleups Through Startup Tribe Programme

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In the first five years of the programme, Infobip has provided significant value in products and services to members, helping them build and scale customer communications worldwide

Global AI-first cloud communications platform Infobip, which is celebrating its 20th anniversary this year, has supported thousands of startups and scaleups from over 120 countries in the first five years of its Startup Tribe Programme.

Infobip launched its Startup Tribe Programme in May 2021 to help mission-driven startups and scaleups to build and manage their customer communications and engagement strategy and grow their business. It does this by providing access up to $60,000 in credits for Infobip’s services and its global network of advisors, investors, and accelerators. In the first five year, Infobip has provided millions in the value of products and services to its programme members.

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By eliminating the need to build a global communications infrastructure from the ground up, Infobip’s programme enables startups and scaleups to focus on what really matters: developing their product and scaling their business.

Startup Tribe member Ilija Milovic, Co-Founder & CTO at cloud property management system HotelSync, said: “HotelSync is proud to be a rapidly growing hospitality tech provider, and Infobip’s Startup Tribe programme has played a key role in supporting our scaling journey. Being part of Infobip Startup Tribe has been a gamechanger for HotelSync. Infobip’s platform has been instrumental in automatizing and optimizing essential workflows, from reliable transactional emails and secure OTP verifications to leveraging advanced tools like WhatsApp. Crucially, the generous credit programme has allowed us to reallocate significant resources from infrastructure costs directly into sales and marketing, which is often the biggest challenge for growing startups. Beyond the programme, we are committed Infobip users because of the platform’s exceptional stability and amazing support.”

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Startup Tribe member Gloria Oppong, Co-Founder and CEO at Cleanster, said: “Infobip’s Startup Tribe programme gave us the support and credits we needed to accelerate our growth. The service has been amazing, and the platform does exactly what it is supposed to do, enabling our team to integrate quickly and ensure reliable communication with our users. Having a partner that provides stable infrastructure and responsive support has helped us focus on scaling Cleanster and delivering a better experience for both cleaners and customers.”

Lucija Reić, Startup Ecosystem Team Lead at Infobip, said: “In first five years, our Startup Tribe Programme has helped new and ambitious firms achieve their business objectives and scale up through the engagement and reach offered by our global communications platform. As we celebrate Infobip’s 20th anniversary, our goal is to help the startups and scaleups we support to reach two decades in business with access to our market-leading services and global network of world-class investors, funds, and accelerators.”

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Atmosphere TV Wins Attention for CTV OOH Advertisers

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Atmosphere TV Wins Attention for CTV OOH Advertisers

Atmosphere TV has become the largest streaming provider in airports in partnership with Tailwind Concessions, Delaware North, and Areas USA - Airport X

MediaScience Study Finds Atmosphere Delivers Audiences and Optimal Ad Performance Compared to Linear TV

Atmosphere TV, the leading streaming CTV out-of-home (OOH) platform, has partnered with media and advertising innovation research firm MediaScience to prove Atmosphere captures more attention compared to linear and CTV in OOH environments. The new study used eye tracking technology to measure viewership trends in multi-screen restaurant and bar environments, proving how Atmosphere captivates television audiences outside the living room.

Atmosphere’s ability to deliver CTV OOH performance, has led to 141% year-over-year increase in direct sales, attracting advertisers across diverse categories, such as Bank of America, Brown-Forman Corporation, Corona, HOKA, Hellmann’s, Hershey, Modelo, Pacifico and Tito’s, to the platform. Atmosphere is proving it is a premier environment for delivering ad performance, including a 4.5X average incremental ROAS for alcohol brands, and 34.9% average lift in visit rate for dining partners.

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“Atmosphere uniquely combines attention and context in a way that hasn’t happened before,” said Blake Sabatinelli, CEO, Atmosphere TV. “We’re serving up a viewing experience designed for bars, restaurants, gyms and airports that is lighter, less cluttered and more original than linear TV, resulting in a stronger impact for brands.”

Using eye-tracking glasses, the study found that despite multiple TVs and real-life distractions, Atmosphere content garnered more attention than linear TV content during viewing sessions.

Compared to linear TV streaming side-by-side in the same environment:

  • Atmosphere content garnered 12% more visual attention during viewing sessions.
  • Participants spent 53% more time visually attending to Atmosphere’s ChiveTV segments than ESPN segments.
  • Viewers perceived Atmosphere as having fewer ads (+25%), more creative content (+16%), and more unique, original content (+18%) than linear TV, suggesting a more receptive ad environment.

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Atmosphere ads generated visual attention comparable to linear TV and increased performance for advertisers:

  • Viewers recalled brands and ads they were exposed to on Atmosphere at a 25% greater rate than ads they were exposed to on linear TV.
  • Adding Atmosphere to a linear campaign delivers a 41% lift in brand recall and a directional 14% lift in purchase intent.
  • Custom ad units on Atmosphere boosted brand recognition by 62%.

The study findings support the impact Atmosphere is having for leading brands like HOKA.

“Together with Atmosphere, we brought HOKA into the heart of race weekend with high impact video placements across key venues during the New York and Chicago Marathons,” said Allie Tsavdarides, Vice President of Marketing for HOKA North America. “Atmosphere helped us show up in moments that mattered, deepening our connection with the running community and reinforcing HOKA as the footwear choice for race day and beyond.”

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Shirofune Integrates with Amazon DSP to Offer Flexible Programmatic Advertising

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Shirofune Integrates with Amazon DSP to Offer Flexible Programmatic Advertising

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Shirofune, Japan’s leading digital advertising automation platform, announced its integration with Amazon DSP, a programmatic advertising solution that enables advertisers to buy advertising inventory across multiple channels, including Amazon’s own properties like Prime Video and Fire TV, as well as third-party websites.

With this new integration, users can access Amazon DSP with their Shirofune platform, allowing for greater flexibility. Amazon DSP is ideal for spot campaigns, pilot programs, or testing ahead of larger-scale initiatives.

“This integration allows advertisers of all sizes to access advanced DSP capabilities directly,” said Mitsunaga Kikuchi, CEO and Founder, Shirofune. “Combined with Shirofune’s expertise in automated bidding optimization, this integration empowers advertisers to make high-performance programmatic advertising more accessible than ever.”

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This integration means there are no management fees or margins, and professionals pay directly to Amazon. Account permissions are also open to advertisers:
When using Shirofune to integrate with Amazon DSP, aside from the standard platform usage fee, there are no additional charges, such as account management fees or advertising margins for using the Amazon DSP functionality.

In addition, advertising professionals may retain full account access, with all advertising fees paid directly to Amazon, ensuring a highly transparent and secure advertising operation.

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Automatic Bidding Optimization Simplifies Operations for Experienced Users
While Amazon DSP automatically handles most bid optimization, advanced users can still make detailed adjustments, including fine-tuning CPM bids and budget allocation by line item to maximize performance.

Shirofune’s automated bidding algorithm, refined over the past decade across multiple advertising platforms, can now be seamlessly integrated with your Amazon DSP account. All users have to do is specify their budget and target ROAS (ACoS), they can improve Amazon DSP performance while reducing the effort required for budget management and bid adjustment to as close to zero as possible.

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Keynes Secures $40 Million Minority Investment from Volition Capital to Accelerate Growth in Connected TV

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Keynes Secures $40 Million Minority Investment from Volition Capital to Accelerate Growth in Connected TV

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Keynes, the leading performance advertising platform for CTV, announced a $40 million minority investment from Volition Capital, a Boston-based growth equity firm focused on high-growth, founder-led technology companies.

As streaming continues to replace traditional television, advertisers are shifting billions of dollars toward Connected TV. Yet the fragmentation of streaming platforms and limited transparency around performance measurement have made it difficult for brands to run CTV as a true performance marketing channel. Keynes has emerged as a trusted partner helping advertisers navigate this complexity and unlock measurable growth through CTV.

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The investment will ensure consistency in leadership and corporate strategy as Keynes expands through technology innovation, enhanced data and measurement capabilities, and strategic hiring to meet growing advertiser demand for measurable, performance-driven CTV solutions.

Founded in 2018, Keynes has established itself as a trusted partner to brands seeking to unlock incremental growth through CTV. By combining advanced audience strategy, AI-driven optimization, and transparent reporting, Keynes has helped redefine CTV as a channel accountable to real business outcomes.

“Connected TV is rapidly evolving from a brand-only channel into a measurable performance medium,” said Jim Ferry, Partner at Volition Capital. “Keynes has built a differentiated platform that helps advertisers navigate the complexity of the ecosystem while delivering transparent, performance-oriented outcomes. We are impressed by the company’s disciplined execution, strong client retention, and commitment to transparency.”

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As streaming continues to command a growing share of media consumption and advertising budgets, Keynes plans to use the capital to deepen its technology infrastructure, expand data integrations, strengthen measurement capabilities, and scale its team to support advertisers seeking measurable performance from CTV.

“We’ve always believed that sustainable growth comes from doing right by clients and building a strong internal culture,” said Dan Larkman, Founder and CEO of Keynes. “This partnership gives us the resources to move faster without compromising the principles that define Keynes, and we’re just getting started.”

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Cyabra and Orchestra Partner to Deliver Real-Time Brand Safety at Scale

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Cyabra and Orchestra Partner to Deliver Real-Time Brand Safety at Scale

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Cyabra Strategy Ltd. (“Cyabra”), the solution that analyzes actors, behaviors, and content to uncover coordinated digital manipulation, and Orchestra, a strategic marketing and communications firm, announced a strategic partnership. The collaboration brings real-time narrative protection, crisis monitoring, and AI-driven brand safety to Orchestra clients worldwide.

The partnership combines Cyabra’s detection capabilities across social media with Orchestra’s crisis communications expertise. Teams will monitor emerging narratives across major social platforms, identify coordinated or inauthentic activity, and activate rapid guidance for client leaders.

The partnership comes as companies face a growing wave of false narratives, fake accounts, and GenAI-manipulated content spreading rapidly across social media. These manipulations can distort public perception, influence markets, and damage credibility within hours, forcing organizations to defend their reputations in an increasingly hostile environment.

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Orchestra has already leveraged Cyabra’s capabilities to support one global brand through a coordinated DEI attack, while also helping another client counter disinformation targeting its celebrity talent, delivering earlier detection and stronger reputation protection in both cases.

The combined solution gives brands a single view of risk, with context that supports better, faster decisions. Together, Cyabra and Orchestra will serve clients across North America, EMEA, and APAC.

“Today, protecting reputational health requires more than monitoring headlines, it demands a deep understanding of what is driving a narrative and who is behind it, By combining AI-powered, real-time detection with strategic insight, we help clients move proactively, safeguard their brands, and position their organizations with clarity and confidence.” – Trisha Pascale, Managing Director of Strategic Insights at Orchestra

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“Manipulated narratives and content are real everyday threats and affect how the public sees brands, leaders, and global movements,” said Dan Brahmy, CEO and Co-founder of Cyabra. “With Orchestra, we’re giving their clients the tools to uncover what’s really driving the conversation, and the playbook to respond with speed and confidence.”

Cyabra has entered into a business combination agreement with Trailblazer Merger Corporation I, a blank-check special-purpose acquisition company.

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CNaught Launches Carbonlog, the First Tool to Track the Carbon Footprint of AI-Assisted Software Development

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MTS Staff Writer
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CNaught Launches Carbonlog, the First Tool to Track the Carbon Footprint of AI-Assisted Software Development

Real-time visibility into the carbon cost of AI-assisted coding, powered by independent academic research

AI coding tools have reshaped how software gets built. Yet the environmental cost of this shift is almost entirely unmeasured: ten of thirteen major AI companies disclose nothing about the environmental impact of building and deploying their models, according to Stanford’s 2025 Foundation Model Transparency Index.

We built Carbonlog because measurement has to come before management, and right now, almost nobody is measuring.”

— Mark Chen, Co-founder and CEO, CNaught

CNaught is launching Carbonlog, an open-source Claude Code plugin that tracks the carbon emissions and energy consumption of AI-assisted coding sessions in real time. It is the first developer tool to provide per-session emissions data based on independent academic research.

A Growing Footprint with No Visibility

The scale of AI’s environmental impact is becoming clearer. The International Energy Agency projects that global electricity demand from data centers will more than double by 2030, reaching 945 terawatt-hours (TWh), more than Japan’s total electricity consumption today. Goldman Sachs Research estimates that if 60% of new data center power demand is met by natural gas, the resulting emissions increase could reach 215–220 million tonnes of CO₂ by 2030.

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Until now, developers haven’t had an easy way to measure their contribution to this footprint. Estimation methodologies exist in the academic literature, but building them into a usable tool has been left as an exercise for the climate-conscious developer. CNaught has taken the best available methodology and made it turnkey: install one plugin, and see your emissions every time you submit a query.

CNaught is committed to using the best available science and keeping the methodology current as the research evolves, so teams don’t have to track the literature themselves. The underlying framework is already being updated as new model benchmarks become available.

What Carbonlog Does

Carbonlog runs as a Claude Code plugin, estimating the energy consumption and CO₂ emissions of each API request in real time. A subtle status line displays cumulative emissions as developers work. An on-demand report provides breakdowns by model, project, and time period, with relatable equivalents like car-miles driven and days of household energy usage.

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The plugin’s calculations are based on Jegham et al. (2025) “How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference.” This framework estimates energy from first principles using real-time performance benchmarks, statistically inferred hardware configurations, and provider-specific infrastructure parameters.

All data is stored locally by default. No code, conversation content, or personal information is shared. Developers can optionally enable anonymous metric sync for team-level benchmarking through CNaught.

Why It Matters Now

California’s SB 253 will require companies with over $1 billion in revenue to report Scope 3 emissions starting in 2027. For organizations using AI inference as a purchased service, those emissions typically fall under Scope 3, Category 1: Purchased Goods and Services. Carbonlog provides the data needed to establish a baseline before reporting requirements take effect.

What Comes Next

Carbonlog is currently in beta with a group of design partners. Installation takes approximately 30 seconds.

Carbonlog launches as a Claude Code plugin, with plans to expand to other AI coding tools and chat-based LLM usage. Beyond measurement, CNaught is exploring how Carbonlog can move from visibility to recommendations on how to build greener software.

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