As publishers grapple with shrinking referral traffic, zero-click search, and the growing influence of large language models, OpenX is reshaping its leadership bench to double down on publisher monetization and strategy. The omnichannel supply-side platform has announced two key moves within its Publisher Development organization, signaling where it sees the next phase of growth coming from.

Akhil Savani has joined OpenX as Vice President of Publisher Development, while Rebecca Bonell, a longtime OpenX executive, has been promoted to Regional Vice President of Publisher Development, The Americas. Together, they will oversee how OpenX works with publishers to expand supply, unlock new revenue models, and navigate a rapidly shifting ad and data landscape.

A Strategic Bet on Publisher-Led Growth

The appointments come at a moment when publishers are under pressure from multiple directions. Search traffic is increasingly intercepted by AI-generated answers, audience data strategies are being reshaped by privacy regulation, and monetization is fragmenting across formats like CTV, audio, and digital out-of-home.

OpenX is positioning its publisher development team not just as a sales function, but as a strategic partner helping publishers articulate and defend the value of their inventory and data. The company says its continued investment in leadership talent and global infrastructure is designed to help publishers adapt to emerging technologies while accessing incremental monetization opportunities.

Savani Brings Buy-Side Perspective to the SSP

In his new role, Savani will oversee publisher business development and account management across the Americas. Working closely with Bonell, he will focus on expanding high-quality, direct publisher supply across CTV, video, display, native, DOOH, and audio—with particular emphasis on strengthening OpenX’s connected TV offering.

Savani joins OpenX after nearly a decade at The Trade Desk, where he led global inventory partnerships and operational teams. His experience on both sides of the auction is notable at a time when publishers are increasingly questioning how their inventory is valued in automated marketplaces.

That dual perspective is expected to play a key role as OpenX works with publishers, OEMs, content owners, and virtual MVPDs to drive differentiated demand in CTV—an area where transparency, data access, and yield optimization are top priorities.

Bonell Expands Her Mandate Across the Americas

Bonell’s promotion formalizes a role she has effectively been playing for years. With close to a decade at OpenX, she has been instrumental in building long-term relationships with many of the company’s most strategic publisher partners.

As Regional VP, she will lead publisher business development across the Americas, focusing on onboarding new supply while deepening collaboration with existing partners. Her remit includes helping publishers clearly communicate the value of their inventory and audiences in an increasingly complex, insight-driven marketplace.

Bonell has consistently emphasized quality and trust over sheer scale—a stance that aligns with OpenX’s broader positioning as an SSP focused on fair value exchange rather than volume-first monetization.

Why This Matters for the Market

These leadership changes reflect a broader shift in the ad tech ecosystem. As AI reshapes discovery and consumption, publishers are being forced to rethink how they monetize attention and data. SSPs that simply facilitate auctions are no longer enough; publishers are looking for partners that can help them navigate privacy constraints, optimize yield across formats, and maintain control over their businesses.

By strengthening its publisher development leadership, OpenX is signaling that it sees publisher success as central to its own growth—particularly in high-growth environments like CTV and mobile, where competition among platforms is intensifying.

The move also underscores how talent with deep cross-market experience is becoming increasingly valuable. Savani’s buy-side background and Bonell’s publisher-first approach suggest OpenX is aiming to bridge longstanding gaps between demand and supply, especially as AI-driven decisioning becomes more prevalent.

Looking Ahead

With Savani and Bonell working in tandem, OpenX appears to be betting on a more consultative, partnership-driven model for publisher engagement. As zero-click search and LLM-powered interfaces continue to erode traditional traffic models, that approach may prove critical for publishers looking to protect and grow revenue in the next phase of digital media.

For OpenX, the message is clear: publisher development isn’t just about selling inventory—it’s about helping publishers survive and compete in an AI-shaped internet.

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Vonage is tightening the link between enterprise messaging and marketing automation. The Ericsson-owned communications platform has launched Vonage Conversations for Agentforce Marketing (formerly Salesforce Marketing Cloud), a new solution that embeds two-way messaging channels—including SMS, WhatsApp, and Rich Communication Services (RCS)—directly into Salesforce’s marketing environment.

The move reflects a broader shift in enterprise marketing: conversations, not campaigns, are becoming the primary unit of customer engagement. By integrating programmable communications APIs straight into Salesforce, Vonage is aiming to help brands meet customers where they already are—on messaging apps—without forcing marketers to jump between disconnected tools.

Messaging Becomes Native to the Salesforce Workflow

At its core, Vonage Conversations for Agentforce Marketing allows teams to manage personalized, two-way customer conversations from a single Salesforce interface. Marketers can send and respond to messages, automate interactions, and orchestrate omnichannel journeys using the customer data already stored in Salesforce.

The integration supports a blend of live agents and agentic AI, enabling always-on conversations that scale beyond human availability. Vonage positions this as hyper-personalization at scale: AI-driven interactions that adapt in real time while still allowing human intervention when needed.

Instead of treating messaging as a bolt-on channel, the solution makes it a native part of campaign execution, journey orchestration, and customer lifecycle management.

Why This Matters Now

Enterprise messaging is no longer just about alerts or one-way notifications. Consumers increasingly expect conversational, interactive experiences—and they expect them on the platforms they use daily.

Analysts see this embedded approach as critical. According to Pamela Clark-Dickson, Principal Analyst at the Mobile Ecosystem Forum, the real value of programmable communications emerges when messaging is built directly into everyday business platforms. Embedding AI-powered, omnichannel conversations into Agentforce Marketing allows enterprises to move faster, personalize more deeply, and drive more meaningful engagement without reworking existing workflows.

In practical terms, this means fewer handoffs between systems, faster execution of campaigns, and a clearer path from message delivery to measurable outcomes like clicks and conversions.

AI at the Center of the Conversation

Vonage’s communications APIs don’t just deliver messages—they automate decision-making around them. The platform analyzes customer data in real time to trigger relevant interactions, handle routine tasks, and maintain consistent messaging across channels.

With a single composer inside Salesforce, marketers can design and deploy conversations that adapt dynamically based on customer behavior. Vonage says this approach improves engagement rates while still respecting regulatory and compliance requirements across regions and channels—a growing concern as messaging becomes more interactive and data-driven.

RCS and WhatsApp Are Reshaping Business Messaging

The timing of the launch aligns with major shifts in global messaging behavior. RCS, often positioned as the successor to SMS, is becoming more visual and interactive, making it attractive for branded business communication. Global RCS traffic is projected to exceed 200 billion messages by 2029, signaling growing enterprise adoption.

At the same time, WhatsApp has become a cornerstone of business communication worldwide. Globally, 57 percent of consumers use WhatsApp to engage with businesses or service providers. In EMEA, WhatsApp adoption for business messaging now outpaces SMS, underscoring how quickly consumer preferences are evolving.

By supporting RCS, WhatsApp, and SMS within a single Salesforce-native experience, Vonage is betting that enterprises want flexibility without fragmentation.

Built for Enterprise Scale

Vonage emphasizes that its APIs are already trusted across industries such as retail, finance, and healthcare—sectors where reliability, performance, and compliance are non-negotiable. According to Christophe Van de Weyer, President and Head of Business Unit API at Vonage, the goal isn’t just to send more messages, but to help brands create meaningful, branded conversations across every customer touchpoint.

The integration is designed to support high-volume use cases while maintaining consistent performance, a requirement for global enterprises running complex, always-on customer engagement programs.

Part of a Broader AI Strategy

The launch also fits into Vonage’s larger AI Hub strategy—a portfolio of low-code and no-code components designed to accelerate digital transformation and enable personalized conversations across channels.

It builds on the existing Vonage Conversations for Salesforce offering, extending unified engagement across Agentforce Marketing, Sales, and Service through cross-cloud integration. It also complements Vonage Contact Center, positioning Vonage as an end-to-end player spanning marketing, service, and contact center interactions.

The Bigger Picture

As marketing platforms evolve, messaging is moving from the edge to the center of customer engagement strategies. Vonage’s integration with Salesforce Agentforce Marketing reflects that shift, blending AI, real-time data, and omnichannel messaging into a single operational layer.

For enterprises already invested in Salesforce, the appeal is straightforward: richer conversations, less complexity, and a clearer path to scalable personalization. For Vonage, it’s another step toward making programmable communications an invisible—but essential—part of how modern marketing gets done.

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Pavonis Group is betting that the next competitive edge in commercial real estate won’t come from more data—but from smarter ways to use it. The CRE technology integration firm has acquired CRE Marketing Hub, an AI-powered platform purpose-built for commercial real estate professionals, signaling a deeper push into industry-specific artificial intelligence.

The acquisition brings CRE Marketing Hub’s suite of AI agents into the Pavonis ecosystem, where it will operate alongside RealNex, Bid4Real, and Pix-Virtual. Together, these platforms are intended to cover the full CRE lifecycle, from research and prospecting to marketing, underwriting preparation, and transaction execution.

Why This Deal Matters

Commercial real estate has no shortage of tools, but many remain fragmented—CRM in one place, marketing automation in another, underwriting models somewhere else. Pavonis Group’s strategy is to reduce that fragmentation by embedding AI directly into operational workflows rather than treating it as a standalone add-on.

CRE Marketing Hub fits squarely into that vision. Founded by Ross and Tracee Jones, the platform focuses on AI agents trained specifically for CRE use cases, not generic marketing or productivity tasks. The Jones team will continue to collaborate with Pavonis Group, expanding the platform while supporting client adoption.

AI Agents Built for CRE, Not Generic Use

Unlike broad AI assistants, CRE Marketing Hub is designed around the day-to-day realities of brokers, investors, and advisors. Its tools span multiple stages of the deal and business development process, including:

• Client Insights, which uses AI-driven persona modeling to analyze prospects and client profiles

• Deal Coach, offering strategic guidance and preparation support for transactions

• Marketing Center, automating content creation, campaigns, and marketing collateral

Beyond these core modules, the platform includes a wide range of specialized utilities tailored to CRE workflows—translation tools, calculators, prompt libraries, social media content generation, scripts, property profiles, image libraries, and automated offering memorandum creation.

The emphasis is on reducing manual effort while preserving domain-specific accuracy, a key concern in an industry where nuance and local market knowledge matter.

“Real Intelligence,” Not Just AI

Pavonis Group Managing Partner Mark Kingston framed the acquisition as part of a broader philosophy he calls “Real Intelligence”—combining large language models with deep industry expertise.

In his view, AI tools are already reshaping how business gets done, but the real advantage goes to firms that not only adopt AI, but become experts in applying it within their domain. Pavonis believes that pairing CRE-specific AI agents with established platforms like RealNex can help clients deliver better service and compete more effectively.

That message reflects a growing trend across B2B software: buyers are becoming more skeptical of generic AI claims and more interested in solutions that demonstrate clear, industry-aligned outcomes.

Tight Integration With RealNex

A key part of the deal is the planned integration of CRE Marketing Hub into the RealNex operating system. RealNex already functions as a central platform for CRM, investment and lease analysis, presentations, and marketing within CRE organizations.

By embedding CRE Marketing Hub into RealNex, Pavonis aims to streamline how users ingest data, enrich existing records, conduct research, and execute business development strategies—all within a single environment. The goal is faster workflows, fewer handoffs, and improved transactional efficiency.

From prospecting to deal execution, AI agents are positioned to assist at each step, pulling insights from structured and unstructured data while maintaining continuity across systems.

A Broader Platform Play

The acquisition also strengthens the connective tissue between Pavonis Group’s portfolio companies. Bid4Real and Pix-Virtual address transaction and visualization needs, while RealNex serves as the operational backbone. CRE Marketing Hub adds an AI-driven intelligence layer on top, focused on decision support and automation.

This platform-first approach mirrors what’s happening in other vertical software markets, where vendors are consolidating capabilities to reduce tool sprawl and increase stickiness.

The Bigger Picture for CRE Tech

As CRE firms face tighter margins, slower deal cycles, and more demanding clients, automation and intelligence are becoming strategic necessities rather than nice-to-haves. AI that understands CRE-specific language, calculations, and workflows has the potential to meaningfully change productivity—not just incrementally improve it.

With this acquisition, Pavonis Group is positioning itself as a vendor that doesn’t just plug AI into CRE, but weaves it directly into how CRE professionals research, market, and transact.

For an industry often criticized for slow technology adoption, the deal underscores a clear message: specialized, workflow-aware AI is moving from experimentation to core infrastructure.

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Diligent is making a decisive move into one of the fastest-growing pressure points in governance, risk, and compliance. The GRC SaaS provider has acquired 3rdRisk, an AI-native third-party risk management platform based in the Netherlands, strengthening its position as a dominant player in enterprise risk technology.

The deal expands Diligent’s ability to help organizations manage increasingly complex vendor ecosystems—an area that has quickly escalated from an operational concern to a board-level priority. It also reinforces Diligent’s rare status as the only GRC vendor recognized as a “Leader” by all five major analyst firms: Gartner, IDC, Forrester, Chartis, and Verdantix.

Why Third-Party Risk Is Now a Boardroom Issue

Third-party risk management, particularly IT vendor risk, has become one of the fastest-growing segments within GRC. Enterprises today rely on sprawling networks of software providers, cloud platforms, data processors, and outsourcing partners—each introducing new regulatory, cyber, and operational risks.

Rising regulatory scrutiny, escalating cyber threats, and deeper digital dependencies have exposed the limits of manual vendor assessments and spreadsheet-driven oversight. Many organizations struggle to maintain real-time visibility into how external partners affect their overall risk posture.

That’s the gap Diligent is aiming to close with this acquisition.

What 3rdRisk Brings to the Table

Founded with an AI-first approach, 3rdRisk focuses on automating the most time-consuming aspects of third-party risk management. Its platform uses AI to handle vendor profiling, assessment workflows, and document analysis across contracts, certifications, and compliance artifacts.

Instead of quarterly review cycles, 3rdRisk is designed to give organizations a near real-time view of vendor performance and risk exposure. Diligent says this can help teams achieve audit readiness in weeks rather than quarters—a meaningful advantage as regulatory expectations continue to rise.

By integrating 3rdRisk into its broader platform, Diligent is extending risk visibility beyond internal controls to the full external ecosystem of suppliers and partners.

From the Boardroom to the Vendor Network

Diligent’s leadership frames the acquisition as a way to unify governance and execution. According to Scott Bridgen, General Manager of Risk and Audit at Diligent, combining Diligent’s AI platform with 3rdRisk’s capabilities creates a more holistic view of risk—one that spans from board oversight down to vendor-level dependencies.

That end-to-end perspective is increasingly important as boards demand clearer answers to questions about supply chain resilience, cyber exposure, and regulatory compliance tied to third parties.

Rather than treating vendor risk as a siloed function, Diligent is positioning it as an integral part of enterprise governance.

AI as an Enabler, Not a Replacement

3rdRisk’s leadership emphasizes that AI is meant to augment—not replace—human judgment. The platform is designed to eliminate manual processes that consume risk teams’ time, allowing professionals to focus on evaluating what actually matters.

According to Bram Ketting, co-founder and CEO of 3rdRisk, joining Diligent accelerates that vision by bringing global scale while preserving the domain expertise that customers expect. It also signals a broader industry trend: AI in GRC is moving beyond experimentation into core infrastructure.

Building on a Year of AI Expansion

The acquisition follows a year of rapid AI-driven product expansion at Diligent. Recent launches include:

• GovernAI, aimed at streamlining governance workflows

• AI Risk Essentials, focused on strengthening enterprise risk management

• AI-enhanced Diligent Entities, modernizing entity and subsidiary management

• ACL AI Studio, delivering faster, data-driven insights for audit and compliance teams

Adding third-party risk management to this lineup extends Diligent’s AI strategy into one of the most operationally complex areas of GRC.

Competitive Implications

The GRC market has become increasingly crowded, with vendors racing to bolt AI onto legacy platforms. Diligent’s approach—acquiring an AI-native specialist rather than retrofitting existing tools—suggests a push toward deeper, purpose-built capabilities.

As regulators and boards demand more continuous, defensible risk oversight, platforms that can unify internal and external risk data are likely to gain an edge. The Diligent–3rdRisk combination puts pressure on rivals that still treat third-party risk as an add-on module rather than a core capability.

The Bigger Picture

For enterprises, the message is clear: third-party risk is no longer peripheral. It’s central to governance, compliance, and resilience. By bringing 3rdRisk into its ecosystem, Diligent is betting that AI-driven, real-time visibility into vendor risk will become a standard expectation—not a premium feature.

As digital dependencies continue to grow, so will scrutiny. This acquisition positions Diligent to meet that moment with a broader, more integrated view of risk—one that extends well beyond the organization’s own walls.

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FiscalNote is drawing a clear line under its legacy era. The AI-driven policy and regulatory intelligence provider announced it has successfully migrated customers from its older FiscalNote platform to PolicyNote, marking a pivotal step in its effort to unify products under a single, AI-first experience.

For a company operating at the intersection of public policy, data, and artificial intelligence, the move is less about housekeeping and more about long-term positioning. PolicyNote is designed to be the centerpiece of FiscalNote’s product-led growth strategy, replacing fragmented tools with a cohesive platform that blends monitoring, analysis, forecasting, and drafting into one workflow.

In an industry where policy professionals are often juggling multiple dashboards, alerts, and reports, consolidation matters. FiscalNote is betting that fewer tools—when powered by deeper AI—can deliver more value.

Why the Migration Matters

Platform migrations are notoriously risky. Customers resist change, workflows break, and churn can spike. FiscalNote says it avoided most of those pitfalls.

According to the company, the transition was completed with minimal migration-related churn and has already resulted in stronger engagement across key features. That outcome is significant, especially as enterprise and government-facing software buyers tend to be conservative about tooling changes.

PolicyNote replaces the legacy FiscalNote platform with a unified environment where legislative tracking, regulatory intelligence, impact analysis, and forecasting live side by side. The goal is to reduce friction in daily research while giving users more actionable insights, faster.

From a market perspective, the move aligns with a broader shift in B2B intelligence platforms: customers increasingly expect AI to surface relevance, not just data. Raw information is abundant. Context is the differentiator.

AI Features Driving Engagement

FiscalNote shared several usage metrics that suggest PolicyNote’s AI-centric approach is resonating.

One standout is Impact Summaries, which automatically translate policy developments into organization-specific implications. Users are now generating a custom Impact Summary in 34% of search sessions—a signal that AI-generated synthesis is becoming a default behavior, not an optional add-on.

Advanced analytical tools are also seeing heavier use. Features such as Bill Comparison and Similar and Related Bills—designed to help users understand how legislation evolves and connects across jurisdictions—have nearly doubled in usage since launch. That suggests policy teams are leaning into deeper analysis rather than surface-level tracking.

Perhaps most telling is the reported 252% increase in weekly active users on PolicyNote. FiscalNote attributes that growth to tighter integration of AI-generated summaries, forecasting, impact analysis, and drafting tools directly into everyday monitoring workflows.

In practical terms, the platform isn’t just helping users read policy—it’s helping them decide what to do next.

From Monitoring to Anticipation

Customer feedback underscores the strategic shift. Clarence Mingo, Vice President of Corporate Affairs and Government Relations at The Marzetti Company, describes PolicyNote as a move from reactive monitoring to proactive intelligence.

According to Mingo, customized dashboards and real-time insights now centralize critical information in one place, allowing teams to stay ahead of emerging issues rather than scrambling after legislation advances.

That framing reflects a broader trend across regulatory and compliance technology. As policy environments grow more complex and faster-moving, organizations want tools that anticipate change, not just report it. AI-powered forecasting and impact analysis are increasingly table stakes, especially for global enterprises navigating multiple jurisdictions.

Product-Led Growth, Applied to Policy Tech

FiscalNote CEO and President Josh Resnik positions PolicyNote as more than a product refresh. He calls it the cornerstone of the company’s product-led growth strategy—a notable phrase in a sector traditionally driven by enterprise sales and long contracts.

By focusing on usability, integration, and AI-driven insights, FiscalNote appears to be borrowing from SaaS playbooks more common in MarTech and analytics platforms. The logic is straightforward: if users engage more deeply and more often, retention improves and expansion becomes easier.

Completing the migration also creates operational leverage. Supporting one primary platform instead of multiple legacy systems allows FiscalNote to ship features faster, iterate on AI models more efficiently, and maintain a more consistent customer experience.

Resnik frames the milestone as both validation and a launchpad—proof that the strategy is working and a foundation for faster innovation ahead.

Competitive Context: AI as the Differentiator

FiscalNote operates in a crowded market that includes traditional policy tracking services, boutique research firms, and emerging AI-native platforms. What sets PolicyNote apart, at least on paper, is the depth of AI integration across the workflow.

While many competitors layer AI summaries or alerts on top of existing databases, FiscalNote is positioning AI as the connective tissue of the platform—linking monitoring, analysis, forecasting, and drafting in a single environment.

That approach mirrors trends in adjacent markets like MarTech and RevOps, where point solutions are increasingly giving way to unified platforms promising fewer handoffs and smarter automation.

The risk, of course, is execution. AI-driven insights only build trust if they are accurate, transparent, and consistently useful. Early engagement metrics are encouraging, but sustained adoption will depend on how well PolicyNote performs as regulatory complexity—and scrutiny—continues to rise.

What This Signals for the Industry

FiscalNote’s completed migration highlights a broader inflection point for policy and regulatory intelligence. The market is shifting from information delivery to decision enablement.

Policy professionals no longer just want to know what happened. They want to understand why it matters, how it compares to related developments, and what actions to take next—all without stitching together half a dozen tools.

By consolidating its offerings into PolicyNote, FiscalNote is signaling confidence that AI-driven synthesis and forecasting will define the next generation of policy intelligence platforms.

Whether that bet pays off long term will depend on how effectively the company continues to evolve the platform. But for now, the migration milestone marks a clear strategic reset—and a strong statement of intent in an increasingly competitive space.

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Netradyne is pushing fleet intelligence closer to the road—literally. The AI-powered fleet safety and performance company has launched Video LiveSearch, an industry-first capability that lets fleet managers search live video across every vehicle in real time using natural language prompts.

Unlike traditional fleet video workflows that depend on cloud uploads and manual digging, Video LiveSearch runs directly on the vehicle using edge AI. The result: near-instant access to the most relevant video moments, without waiting hours—or days—for footage to process.

For fleets that live and die by response time, that’s a meaningful shift.

From Reactive Investigations to Real-Time Awareness

Until now, most fleet video reviews followed a familiar pattern: an incident is reported, someone figures out which vehicle might be involved, cloud footage is requested, and teams sift through long timelines hoping they’ve guessed the right window.

That reactive model slows investigations and limits how proactively fleets can manage safety, compliance, and performance.

Video LiveSearch is designed to flip that dynamic. Fleet managers can type a simple, free-text query—such as a safety event, roadside condition, or operational scenario—and instantly see the most relevant before-during-after clips across a single vehicle or the entire fleet.

Instead of hunting for video, teams get immediate line-of-sight into where to look and what to pull.

Natural Language Search, Powered at the Edge

What makes Video LiveSearch different is where the intelligence lives. Netradyne processes and indexes nearly 100% of road-facing drive time directly on the vehicle, using its edge AI hardware.

Because the video is already searchable at the source, LiveSearch doesn’t have to wait for cloud processing to begin returning results. Searches complete in seconds, even across large fleets.

Every query surfaces the top matching clips, allowing teams to download only the footage that matters. The days of guessing vehicle IDs, timestamps, or trip details—and hoping for the best—are largely removed from the workflow.

According to Netradyne CEO and co-founder Avneesh Agrawal, this gives fleets “faster situational awareness to proactively understand what’s happening across their operations,” enabling quicker action and safer, more efficient outcomes.

Context-Aware AI That Understands the Road

Under the hood, Video LiveSearch relies on Netradyne’s context-aware edge intelligence, trained on real-world road scenes and driving behavior. The system doesn’t just match keywords—it interprets scenarios.

That allows a simple prompt to surface relevant video tied to operational and safety use cases such as school bus stop-arm compliance, proof of service, cracked windshield detection, or claims support. Crucially, it also delivers surrounding context, showing what happened before, during, and after the moment of interest.

This kind of semantic understanding is becoming increasingly important as fleets generate massive volumes of video data. Without smarter filtering, more cameras simply mean more noise.

Hardware as a Physical AI Sensor

Video LiveSearch is enabled by Netradyne’s D-810 device, which CTO and co-founder David Julian describes as turning each vehicle into an intelligent, multimodal sensor.

By combining video, AI reasoning, and on-device processing, the system can interpret what’s happening around drivers, vehicles, and passengers in real time. LiveSearch then makes that intelligence immediately accessible through search, rather than buried inside alerts or reports.

Netradyne frames this as a foundational step toward its broader Physical AI platform—technology that continuously interprets the physical world to support both rapid discovery and precision operations.

Two-Speed AI: Discover Fast, Act Precisely

Video LiveSearch also plays a central role in Netradyne’s “Two-Speed AI” strategy.

On one level, broad semantic search allows teams to quickly explore what’s happening across operations without waiting for new product features or rule-based models. On another, high-precision, domain-specific AI continues to power real-time coaching, safety alerts, and compliance workflows.

In practice, LiveSearch helps fleets identify where risks or inefficiencies exist, while more specialized AI systems handle enforcement and intervention. Discovery informs where deeper automation delivers the most value.

Responsible AI Built In, Not Bolted On

As AI-powered video search becomes more powerful, governance becomes harder to ignore. Netradyne says Video LiveSearch embeds responsible AI controls directly into its architecture.

An AI screening layer evaluates natural language prompts before they reach the edge reasoning engine, automatically blocking searches outside approved operational intent—such as identifying individuals or tracking license plates.

This design-first approach aims to preserve driver trust and prevent misuse by default, rather than relying on policy alone.

What It Means for Fleet Tech

Video LiveSearch reflects a broader trend in fleet and mobility technology: moving intelligence from the cloud to the edge to reduce latency, cost, and complexity.

As fleets scale and regulatory scrutiny increases, the ability to instantly surface the right evidence—without over-collecting or over-processing data—becomes a competitive advantage. Netradyne is betting that real-time, on-device search will be a key differentiator as fleet operators demand faster insights and tighter operational control.

For now, Video LiveSearch positions Netradyne at the forefront of what it calls Physical AI for fleets—where understanding the road, the vehicle, and the driver happens continuously, and insight is only a search away.

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Usercentrics is making a decisive move to connect privacy compliance with the fast-expanding world of AI agents. The Privacy-Led Marketing company has acquired MCP Manager, a next-generation governance platform for the Model Context Protocol (MCP), marking what it says is the first time a global data privacy leader has extended consent and data guardrails directly into AI-driven workflows.

The deal positions Usercentrics at the intersection of privacy, marketing, and AI governance—an increasingly crowded but still loosely defined space as enterprises rush to deploy AI while regulators catch up.

Why AI Consent Is Becoming a Board-Level Issue

As AI agents take on a more active role in personalization, customer engagement, and internal decision-making, they’re also gaining deeper access to sensitive systems like CRMs, analytics platforms, and customer data stores. That shift creates a problem: traditional consent frameworks were built for data collection, not real-time, model-driven interactions.

Usercentrics argues that this gap is quickly becoming untenable—especially in Europe. With the EU AI Act moving from phased rollout to enforcement this year, organizations can no longer afford to treat AI governance as a future concern.

By acquiring MCP Manager, Usercentrics is aiming to apply the same rigor used in consent management to how AI systems access, process, and act on data. The company frames this not just as compliance, but as a competitive advantage in an era where trust increasingly influences brand choice.

What MCP Manager Adds to the Stack

MCP, or Model Context Protocol, has rapidly emerged as a standard for connecting AI models to enterprise systems. What it doesn’t provide on its own is governance—specifically, visibility and control over whether AI agents are accessing data in ways that align with user consent and regulatory requirements.

MCP Manager fills that gap by acting as a policy-enforcement layer. It gives organizations a centralized control plane to monitor, explain, and enforce how AI systems use data across workflows. That includes scenarios where AI agents might otherwise pull CRM data without consent checks or produce decisions that are difficult to justify to regulators.

In practical terms, the technology enables companies to answer uncomfortable but increasingly common questions: Why did the AI access this data? Was consent in place? Can we prove it?

Toward a Unified Privacy-Led Marketing Suite

Post-acquisition, Usercentrics plans to integrate MCP Manager into a unified Privacy-Led Marketing Suite. The goal is a single platform that manages consent, preferences, and data governance across websites, apps, internal systems, and consumer-facing AI agents.

This matters because AI is no longer confined to the back office. Chatbots, recommendation engines, and AI-driven personalization tools now sit directly in front of customers, shaping experiences in real time. Extending consent into these interactions brings AI closer to the same compliance standards already expected for cookies, tracking, and data collection.

According to Usercentrics CEO Donna Dror, this shift reflects a broader reality: AI governance is no longer optional. Companies that delay risk not only regulatory exposure, but erosion of customer trust at a time when transparency is becoming a differentiator.

Governance Where AI Meets Data

One of the more strategic aspects of the acquisition is its focus on enforcement at the moment AI interacts with data—not after the fact. By governing access at the MCP layer, Usercentrics aims to prevent violations before they happen, rather than relying on audits or post-hoc explanations.

Michael Yaroshefsky, founder of MCP Manager, who joins Usercentrics as VP of Artificial Intelligence within its Chief AI Office, describes MCP as the natural enforcement point for consent and compliance. As regulations take effect, he argues, governed AI infrastructure will shift from being a differentiator to a baseline expectation.

This reflects a growing consensus in the market: explainability, consent, and auditability will become core requirements for enterprise AI, not optional features.

Market Implications

The acquisition underscores how quickly privacy vendors are repositioning themselves for the AI era. While many AI governance tools focus on model risk or bias, Usercentrics is betting that consent-aware AI will be the next frontier—particularly for marketing, personalization, and customer-facing use cases.

It also raises the bar for competitors in privacy tech, many of whom still treat AI as an adjacent concern rather than a first-class citizen in consent frameworks. As AI agents proliferate, platforms that can bridge marketing performance, compliance, and AI governance may find themselves with a durable advantage.

For now, Usercentrics is signaling that privacy doesn’t stop at data collection—and that in the age of AI, consent must travel with the data wherever models go.

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Constant Contact is doubling down on education as a growth lever for small businesses. The digital marketing platform has acquired select education and event assets from GURU Media Hub, bringing some of the most recognizable names in email marketing education into its ecosystem.

The deal includes GURU Conference, widely billed as the world’s largest virtual email marketing event; SubjectLine.com, a popular subject-line testing and rating tool; and Certified GURU, a fast-growing marketing education and certification program. Financial terms were not disclosed.

Taken together, the move signals a clear strategy: Constant Contact wants to pair its software with hands-on, results-driven guidance—and do it at scale.

Why This Acquisition Matters Now

Small businesses are under pressure to “do more with less,” especially in marketing. Budgets are tight, channels are fragmented, and AI-driven tools promise speed but often add complexity. In that environment, platforms that combine execution tools with practical education tend to stick.

Constant Contact has long positioned itself as an all-in-one platform for SMBs and nonprofits. By absorbing GURU Media Hub’s education and event assets, the company is strengthening a differentiator that many rivals still treat as secondary: community-led learning grounded in real-world outcomes.

This isn’t about adding more features. It’s about helping customers actually use what they already have—and use it well.

What Constant Contact Is Gaining

Each acquired asset plays a distinct role in the broader marketing stack:

• GURU Conference has built a reputation for high-energy programming focused on tactics marketers can apply immediately. Its virtual format has helped it reach a global audience, making it a natural fit for Constant Contact’s largely digital customer base.

• SubjectLine.com brings data-driven optimization into one of the most critical—and competitive—parts of email marketing. Subject lines remain a major driver of open rates, and the tool’s testing capabilities complement Constant Contact’s core email offerings.

• Certified GURU adds structured education and credentialing, giving marketers a way to validate skills and benchmark expertise in an increasingly crowded field.

Together, these assets extend Constant Contact beyond software into marketing enablement, a space where education, tooling, and community overlap.

Jay Schwedelson Joins as Brand Ambassador

As part of the transaction, GURU Media Hub founder Jay Schwedelson will become a Brand Ambassador for Constant Contact. He’ll continue to lead the creative vision and operation of GURU Conference while collaborating on content, education, and engagement initiatives across the Constant Contact ecosystem.

That continuity matters. GURU’s brand equity is closely tied to Schwedelson’s voice and philosophy: practical advice, no fluff, and a relentless focus on what actually works. Keeping that tone intact reduces the risk of the acquisition feeling overly “corporate” to its existing audience.

Importantly, GURU Media Hub will continue operating independently, with Schwedelson leading its growth and creative direction. This hybrid approach—tight integration without full absorption—mirrors how other B2B platforms have successfully preserved community-driven brands post-acquisition.

Education as a Competitive Advantage

For Constant Contact CEO Frank Vella, the acquisition aligns directly with the company’s mission to simplify marketing for small businesses.

Rather than flooding users with more tools, Constant Contact is betting that better guidance leads to better outcomes, which in turn drives retention and long-term growth. It’s a strategy that echoes broader MarTech trends, where enablement and adoption are becoming as important as feature velocity.

Competitors like Mailchimp and HubSpot have invested heavily in content and certification, but GURU’s appeal lies in its unapologetically tactical focus. That complements Constant Contact’s SMB audience, which often values clarity and speed over theory.

A Broader Industry Signal

This acquisition also reflects a shift in how MarTech companies think about scale. Growth isn’t just about adding customers—it’s about helping existing ones succeed faster.

By integrating events, education, and optimization tools directly into its ecosystem, Constant Contact is positioning itself not just as a platform, but as a partner in execution. In a market where AI promises automation but often delivers confusion, that human-centered approach could resonate strongly with small businesses.

As Jay Schwedelson put it, this isn’t about adding noise. It’s about scaling what works.

For Constant Contact, that means turning education and community into a core part of its value proposition—one that could prove just as sticky as any new feature release.

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