Personalization has been the holy grail of marketing for years, but despite countless promises, most “personalized” campaigns still feel like spray-and-pray with a first-name merge tag. Personize™ thinks it has the fix—and it’s betting big on a new AI category to prove it.

The company today announced the launch of its Generative Personalization Engine (GPE), a new class of software designed to deliver true one-to-one personalization across sales and marketing campaigns. Built directly into HubSpot, the system pairs AI agents with something Personize calls CortexUCM™ (Unified Customer Memory)—a continuously updated profile of every prospect that can be activated instantly across channels.

The pitch: instead of simply automating content, Personize says it’s automating relevance.

From Generative AI to Generative Personalization

“Generative AI gave us the ability to automate content. But Generative Personalization is the leap that actually transforms sales and marketing,” said Hamed Taheri, CEO and founder of Personize.

What makes this different from the sea of AI assistants already inside CRMs? While traditional AI tools churn out generalized text, Personize claims its GPE can “research, reason, and write” at scale—infusing every interaction, whether it’s an email, LinkedIn message, landing page, or even a sales call, with intelligence gathered across the customer lifecycle.

Think ChatGPT meets a living CRM brain—one that doesn’t forget.

Features That Go Beyond Email

Personize is also rolling out AI ContentProducer™, which aims to solve another scaling headache: inbound marketing. Instead of just helping sales teams craft personalized emails, the ContentProducer automatically generates fully researched, SEO-optimized blog posts, articles, and thought-leadership pieces tailored to industries, buyer stages, and audience segments.

Other key capabilities include:

• CortexUCM: A living, unified memory of every customer interaction.

• AI Studio: A no-code environment for building and testing AI agents inside HubSpot.

• AI Researcher: Autonomous data mining across CRM and web sources.

• AI Writer: Personalized emails, LinkedIn messages, call scripts, and landing pages.

• AI Properties: Embeds live AI insights into HubSpot fields for real-time automation.

• AI AgentCatalog: A library of reusable or custom-built AI agents.

Early Traction

The company says early adopters are already seeing measurable results. Sean Mahon, CEO of ASAP Marketplace, credits Personize with driving a 50% increase in organic SEO growth while maintaining brand voice.

For marketing leaders, the takeaway is significant: scaling content without diluting quality or breaking budgets has always been the stumbling block of inbound growth. If Personize can balance speed, quality, and cost, it may push AI personalization from hype to reality.

The Bigger Picture: AI Arms Race in CRM

The launch of Personize’s Generative Personalization Engine comes at a time when Salesforce, HubSpot, and Microsoft Dynamics are all racing to infuse generative AI into their ecosystems. Salesforce has Einstein GPT, HubSpot has ChatSpot, and now Personize is carving out a new niche inside HubSpot with a focus on personalization as the primary differentiator.

By marrying generative AI with persistent customer memory, Personize is positioning itself not just as another plug-in but as the connective tissue between data, content, and engagement. The real question: will marketing and sales teams embrace an AI that doesn’t just write for them but remembers everything?

If they do, this could be the start of a new era—where personalization finally lives up to its promise.

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Dashboards are nice, but executives don’t want more charts—they want answers. Apromore, a global player in process intelligence, thinks it has one. The company today announced Copilot for Performance Insights, a generative AI assistant designed to turn raw process data into plain-language insights leaders can actually use.

The new tool debuts as part of Apromore version 10.4, expanding the company’s Copilot portfolio beyond process discovery and simulation into diagnostic and performance benchmarking. The pitch: business leaders can ask questions in natural language and get reproducible, data-backed answers in seconds.

From Dashboards to Direct Answers

Copilot for Performance Insights is built to address rising cost pressures, compliance risks, and growing customer expectations—all while replacing dashboard fatigue with conversational AI.

Sample queries include:

• Which region has the slowest claim resolution times, and why?

• Are email claims more prone to rework than online submissions in Q2 2025?

• Where do we see role capacity bottlenecks?

• For Q1 2025 claims over $10K, which channel had the highest rework rate?

The system delivers answers grounded in advanced statistical methods, helping companies compare performance across regions, product lines, and channels. For leaders under pressure to cut costs, speed up SLAs, and scale best practices, the draw is clear: trustworthy insights, not just metrics.

Real-World Results

Early adopters are already reporting measurable wins. A global insurer cut rework rates within two months of deployment, while a financial services firm used Copilot to surface best practices across five regions—reducing complaint resolution times and lowering error rates.

“Executives don’t want more dashboards, they need answers they can trust,” said Apromore co-founder and CPO, Prof. Marlon Dumas. “Copilot transforms process optimization into a conversation, so leaders can diagnose, learn, and act with confidence.”

A Growing Copilot Portfolio

Since its 2024 debut, Apromore Copilot has evolved into a multi-tool AI assistant tailored to business operations. The lineup now includes:

• Copilot for Process Discovery: Conversational interface for mapping “as-is” processes.

• Copilot for Simulation: Run “what-if” tests to predict KPI impacts.

• Copilot for Process Optimization: Recommend actions to prevent KPI breaches.

• Copilot for Performance Insights: Benchmark performance and highlight best practices.

Together, they make enterprise-grade process intelligence accessible to non-technical users—essentially bringing process mining to the business side of the house.

Enterprise-Ready AI

Unlike generic analytics bots, Apromore stresses auditability. Each Copilot recommendation is explainable and reproducible, blending generative AI with the rigor of process mining and simulation.

“As AI matures, the differentiator isn’t just intelligence—it’s trust,” said Brandee Sanders, Apromore’s CMO. “With Performance Insights, we’re making AI actionable, auditable, and enterprise-ready.”

What Else Is New in v10.4

Alongside Copilot for Performance Insights, Apromore 10.4 introduces:

• Task Screenshot Capture-and-Replay: Records user interactions tied to process steps for more contextual task analysis.

• Process Model Syntax & Style Checker: Automatically validates process models against compliance standards.

These updates cement Apromore’s positioning as more than a process mining vendor—it’s betting on AI-assisted process optimization as the next frontier for enterprise performance.

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The Press Release Reinvented for the AI Era

In a media landscape reshaped by shrinking newsrooms and AI-driven search, the press release is emerging as the bedrock of credible communication. Recognizing this shift, PR Newswire has launched Amplify, an AI-powered platform that unifies campaign planning, creation, distribution, and measurement into a single communications workspace.

Built on the company’s 70-year legacy in global storytelling, Amplify merges AI innovation with PR Newswire’s distribution network, helping brands craft campaigns that are discoverable, trusted, and impactful in an AI-first search ecosystem.

What Amplify Delivers

Amplify is positioned as a multichannel communications toolkit designed for PR, marketing, investor relations, and corporate communications teams. Core capabilities include:

• AI-driven Planning: Real-time trend analysis surfaces story angles and data-backed campaign strategies.

• Generative Content Creation: A single press release can be transformed into blogs, videos, and media pitches in minutes.

• Multimedia Storytelling: Rich, AI-enhanced releases are optimized for search, social platforms, investor channels, and news outlets.

• Unified Workflow: Teams can plan, create, distribute, and measure campaign performance seamlessly.

“Amplify redefines how brands tell their stories, control their narratives, and measure their impact,” said Matt Brown, President of PR Newswire. “By unifying the communications workflow into one intelligent, AI-powered platform, we’re helping organizations extend their reach across global audiences.”

Why It Matters

The rise of AI in search and information discovery is reshaping how audiences encounter brand messages. Press releases, as authenticated sources of truth, now play an outsized role in ensuring that stories are both discoverable and credible.

With Amplify, PR Newswire is positioning itself not just as a distributor of news but as a strategic AI partner for organizations looking to scale their communications. By pairing generative engine optimization (GEO) with its global network, Amplify gives brands the edge in staying visible and relevant in a fast-shifting media ecosystem.

The Bottom Line

For brands, Amplify represents more than just a tool—it’s an AI-era survival kit for communications teams under pressure to do more with less while ensuring trust and accuracy. As AI transforms search and discovery, PR Newswire’s Amplify is setting a new benchmark for how stories are told, amplified, and measured.

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Appier (TSE: 4180) is doubling down on its vision of “One Data. One Experience. One Agentic World.” The AI-native software company announced the rollout of eight specialized AI Agents designed to help marketers unify fragmented data, automate workflows, and deliver predictable returns.

Unlike single-task automation tools, Appier’s Agents combine predictive modeling, generative AI, and best-practice playbooks to orchestrate end-to-end marketing actions—from creative production to customer engagement—serving as a 24/7 autonomous marketing partner.

“The essence of Agentic AI is turning goals into executable, autonomous workflows,” said Chih-Han Yu, Co-founder and CEO of Appier. “This intelligent ecosystem acts like a collaborative marketing team that adapts in real time to complexity, delivering sustainable revenue and impact.”

The Eight AI Agents

Appier’s Agentic AI spans three product lines, each embedding proprietary brand data to deliver hyper-personalized marketing at scale:

• Advertising Cloud

  • Coding Agent: Auto-generates interactive ads and videos to drive installs and conversions.

  • Director Agent: Combines LLMs with GenAI to create brand-safe, compliant creatives.

  • ROI Agent: Uses Media-Mix Modeling to measure incrementality and maximize revenue.

• Personalization Cloud

  • Campaign Agent: Automates campaigns end to end, from planning through optimization.

  • Sales Agent: A conversational digital salesperson that recommends products and closes deals.

  • Service Agent: Provides always-on support grounded in a brand’s knowledge base.

• Data Cloud

  • Audience Agent: Leverages predictive segmentation to build profitable audience strategies.

  • Insight Agent: Transforms real-time data into visual insights to guide business growth.

Together, these Agents establish interconnected agentic workflows, enabling enterprises to plan smarter, act faster, and capture every customer touchpoint.

Why It Matters

Marketers are under pressure to deliver measurable ROI in increasingly complex ecosystems. Appier’s Agentic AI aims to cut through the noise by:

• Unifying fragmented data with real-time enrichment and deduplication.

• Automating creative and campaign workflows to speed execution.

• Driving omnichannel personalization that scales engagement and retention.

• Delivering explainable insights for confident decision-making.

By integrating predictive analytics, conversational AI, and data quality boosters, Appier is pitching itself as a comprehensive AI-native partner for enterprises across markets and industries.

The Road Ahead

Appier’s eight Agents are rolling out in phases across global markets, with support for English, Japanese, Korean, and Chinese. Flexible pricing models make the suite accessible to both large enterprises and mid-market players.

As part of the rollout, Appier is launching global marketing campaigns to showcase autonomous agentic workflows in action, from creative generation and campaign execution to customer service and audience analytics.

The Bottom Line

With its Agentic AI suite, Appier is positioning itself at the forefront of autonomous marketing operations. For businesses, the value proposition is clear: more efficient campaigns, deeper personalization, and a direct line between AI innovation and ROI.

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Minute Media, the global sports media and technology company, has acquired VideoVerse, the AI SaaS platform best known for its flagship product, Magnifi. The move strengthens Minute Media’s ambition to deliver a fully integrated creation, distribution, and monetization solution for sports content rights holders, teams, and leagues worldwide.

With Magnifi’s real-time AI-driven video editing and highlight generation capabilities, Minute Media gains a powerful layer of automation and creativity that complements its existing distribution and monetization platforms.

Inside the Deal

VideoVerse’s Magnifi platform uses computer vision, machine learning, and NLP to automatically detect key game moments, create highlight reels, and push them to digital platforms at speed. Its GenAI-enabled features—including multilingual subtitling, automated thumbnails, metadata generation, and a rules-based engine—make it an all-in-one editorial workspace for content teams.

By integrating these capabilities, Minute Media can now:

• Deliver real-time, short-form highlights to fans at scale.

• Offer sports rights holders a full-stack solution from creation through monetization.

• Enhance its STN Video platform with AI-powered content automation.

Leadership Commentary

“We are thrilled to bring the passionate teams and robust capabilities of VideoVerse into the Minute Media family,” said Asaf Peled, Founder and CEO of Minute Media. “With VideoVerse’s technologies, our partners and clients will experience the very best in AI-powered creation, distribution, and monetization.”

Vinayak Shrivastav, Co-founder and CEO of VideoVerse, added: “This is a defining moment in our journey. Partnering with Minute Media amplifies our global reach and accelerates our ability to help rights holders unlock greater value from their content in real time.”

Why It Matters

The acquisition reflects the growing importance of short-form, AI-enhanced content in sports media. As fans increasingly consume highlights and snackable content on-demand, leagues and publishers face pressure to deliver faster, smarter, and monetizable video experiences.

By merging Minute Media’s global distribution network with VideoVerse’s AI-driven editing tools, the combined entity is positioning itself as a go-to partner for leagues, federations, and publishers looking to maximize audience engagement and ROI.

The Bottom Line

Minute Media’s acquisition of VideoVerse signals a bold step toward AI-first sports content operations. For rights holders, the value proposition is clear: faster highlight delivery, deeper engagement, and stronger monetization opportunities—powered by one integrated platform.

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Presearch.com, the privacy-focused, community-driven search engine, has officially completed the shift from Web2 to Web3, delivering what many in the industry considered technically impossible: a fully decentralized, self-custodial search platform. Presearch 3.0 empowers users to search, earn, and control digital assets while participating in a global Web3 ecosystem.

In a world dominated by AI-generated content, invasive tracking, and declining engagement, Presearch 3.0 promises privacy, sovereignty, and economic empowerment, returning control to users and creators while eliminating reliance on centralized intermediaries.

How Presearch 3.0 Works

Unlike other platforms that bolt token mechanics onto traditional infrastructure, Presearch was built natively for Web3. Its core architecture supports:

• Hybrid Proof-of-Work nodes: 40,000+ community-operated nodes process queries, remove personal data, and execute searches in milliseconds.

• Self-custodial rewards: Users earn PRE tokens based on search volume, node reliability, and staked assets, with staking enhancing per-search earnings.

• Gas-efficient Base Layer 2 microtransactions for fast, sub-penny payments.

• Enterprise-grade security, including audits and penetration testing.

Advertisers can run keyword staking campaigns, similar to Google Ads auctions, where the highest staked PRE token placement determines visibility at the bottom of search results.

A New Index for High-Integrity Content

Presearch 3.0 isn’t just decentralized—it also pioneers a Web3-native independent web index, optimized for what the company calls “Frontier Intelligence.” The focus is on:

• Creator-first and login-gated platforms like Substack and OnlyFans

• Independent journalism and alternative health content

• Shadow-banned or suppressed sources

• Verified human-generated content filtered from AI spam

This next-generation indexing gives Presearch a competitive edge in an era flooded with low-quality AI-generated content, making it a foundation for AI agents, DeFi, and dApp integration.

Redefining User Control

With Presearch 3.0, users log in with crypto wallets instead of traditional credentials, maintaining full ownership of digital assets. Platforms cannot revoke access, and all interactions are on-chain, creating trustless, incentivized participation across a globally accessible network.

Presearch’s infrastructure also supports:

• Seamless wallet integration without compromising UX

• Self-custodial staking and reward management

• Cross-platform AI agent compatibility for search and discovery

Why It Matters

This launch positions Presearch as a fully Web3-native alternative to centralized search engines, solving longstanding Web3 adoption friction points like custodial delays, regional restrictions, and identity barriers. For users, developers, and enterprises, Presearch 3.0 offers:

• True privacy and data sovereignty

• Earned rewards for search participation

• Access to high-integrity, creator-first content

• Integration with the wider Web3 ecosystem

In short, Presearch 3.0 transforms search from a utility into a gateway to decentralized digital experiences, redefining the relationship between users, content, and the Web3 economy.

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GraceBlocks has fully integrated Google’s Gemini 2.0 Flash and 2.5 Pro models into its customizable database platform (CDP), creating a new “Intelligence Pillar” for small-to-medium businesses and HR teams. The move enables users to build AI-powered workflows, extract insights, and automate tasks without writing a single line of code.

By embedding Gemini models directly, GraceBlocks allows teams to automate processes like resume parsing, sentiment analysis on employee feedback, and personalized communications, effectively transforming core business operations into intelligent workflows.

From Toolbox to Consultative Partner

This launch marks a major milestone for GraceBlocks, moving beyond a no-code platform into a consultative automation partner. New clients receive their first custom solution free, while existing users gain access to tailor-made workflows designed to tackle repetitive tasks and boost strategic focus.

“The AI itself is powerful, but the real magic is how the GraceBlocks team puts it to work for us,” said Susan Van Klink, CEO of SVK and Associates. “They’re not just vendors—they’re collaborators who help us deliver results faster than we thought possible.”

Real-World Use Cases

Early adopters are already seeing tangible benefits:

• Automated Data Extraction and Logging: Normalize, de-duplicate, and route data from emails, rosters, resumes, and intake forms without manual entry.

• AI-Powered Ideation: Generate content outlines, brainstorming prompts, and creative suggestions tailored to team goals.

• Marketing Content Generation: Produce high-res images, blog posts, and other marketing assets faster with AI-assisted workflows.

Mary Grace Hennessy, CEO of GraceBlocks, emphasizes: “It’s not just about offering AI, it’s about delivering results. Our clients don’t just get a platform; they get a partner.”

Why It Matters

GraceBlocks’ native integration of Google Gemini positions the platform as a full-service AI workflow engine for SMBs and HR teams. By providing AI-powered automation without requiring technical expertise, the company addresses a growing demand for intelligent, results-driven tools that scale productivity and efficiency.

With the Intelligence Pillar, GraceBlocks continues to differentiate itself from generic no-code platforms, proving that applied AI can move beyond experimentation into everyday business impact.

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When a company wants to be taken seriously in the future-of-tech conversation, there are few better ways than signing on with the MIT Media Lab. That’s exactly what L&T Technology Services (LTTS) just did. The India-based engineering and R&D powerhouse has inked a multi-year association with the Lab, positioning itself to tap into one of the world’s most eclectic, forward-looking research ecosystems.

What’s New

This isn’t just a corporate sponsorship. As part of the Media Lab consortium, LTTS gains direct access to MIT’s network of researchers, entrepreneurs, and industry leaders—an interdisciplinary melting pot where ideas about AI, mobility, and sustainability often leap from whiteboard sketches to market-shaping prototypes.

Why It Matters

For LTTS, the deal is a credibility play and a research accelerator rolled into one. The company has made its name in ER&D outsourcing and digital engineering services, but as enterprises scramble to embed AI into everything from cars to carbon-neutral systems, credibility in cutting-edge innovation is table stakes. Partnering with MIT is a signal flare: LTTS wants a seat at the table where tomorrow’s AI gets designed.

The Bigger Picture

Industry watchers will note that LTTS isn’t the first to strike a chord with MIT’s experimental hub. Big tech names from Samsung to Microsoft have leaned on the Media Lab to scout new ideas or test early-stage concepts. But for an ER&D-focused services company, this move suggests a shift in how firms like LTTS are positioning themselves—not just as vendors, but as co-architects of innovation.

What Comes Next

Details of specific projects are still under wraps, but the collaboration will cover AI-driven solutions across mobility and sustainability. Think autonomous systems, green energy optimization, and smart infrastructure—areas where R&D breakthroughs could translate into competitive advantages for LTTS’s clients across automotive, aerospace, and industrial verticals.

In an era where AI research is increasingly commoditized, a tie-up with MIT is more than branding. It’s an investment in staying relevant, and potentially, a shortcut to the breakthroughs that could define the next decade of digital engineering.

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