New pricing approach removes user-based barriers and introduces the Unlimited pricing model

Creatio, an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale, today announced a game-changing update to its pricing model focused on maximizing value to its customers in the age of AI.

The Unlimited Enterprise

Traditional enterprise software pricing was designed for a SaaS world where every action traced back to a user. AI agents now execute workflows at scale, and the combination of human-led and fully agentic execution is becoming the new standard. Creatio is proud to introduce the Unlimited model — a new pricing plan designed for the AI era. By eliminating seat-based limitations, organizations can now enjoy enterprise-wide adoption and unify their workflows on a single platform.

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The Unlimited plan includes access to the full platform, all Creatio CRM products, with:

– Unlimited users
– Unlimited custom agents
– Unlimited applications
– Unlimited workflows
– Unlimited custom objects and API calls

This stands in sharp contrast to traditional software vendors anchored to per-user pricing models. With the Unlimited plan, organizations can:

– Scale automation across the enterprise without licensing barriers.
– Deploy new workflows and agents instantly, without procurement delays.
– Standardize on a single platform, eliminating fragmented tools and pointed solutions.
– Maximize ROI by aligning platform usage to business outcomes rather than seat counts.
– Accelerate time to value, moving from pilot to full-scale deployment without constraints.

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Unlimited pricing is determined based on the scale of the organization. This approach replaces rigid, seat-bound usage with an offer designed for unlimited execution, automation, and innovation. For customers still seeking per-user pricing, Creatio continues to offer flexible pricing model options through Growth and Enterprise plans, allowing organizations to get started quickly and scale toward Unlimited as their needs evolve.

“Software should no longer limit how many people can engage in innovation,” said Burley Kawasaki, SVP of Industries at Creatio. “With AI transforming how work gets done, organizations need the freedom to scale workflows, users, and AI agents. Our new model reflects that shift, making it easier for companies to innovate faster, collaborate broadly, and deliver more value.”

Creatio AI Studio Now Included by Default

As part of this update, Creatio Studio has been renamed to Creatio Business Studio, and a new product, Creatio AI Studio, is being introduced and is now required by default alongside Creatio Business Studio licenses.

Creatio AI Studio is an AI-native platform to manage the end-to-end agent lifecycle. It includes market-leading agent building capabilities — Prompt Agent Designer, Workflow Agent Designer, and Code Agent Designer, along with extended channel and integration support and world-class Observability and Governance tools. Creatio AI Studio enables organizations to build and deploy enterprise-ready agents using state-of-the-art technologies and combine them with human-led processes, delivering the most complete workflow automation stack.

Retail brands are no longer relying on one-off mass marketing to reach customers. Instead, they are increasingly engaging shoppers through continuous, personalized conversations across email, SMS, and WhatsApp, according to new data from Endear, the retail CRM for modern brands.

After analyzing more than 22,000 personalized campaigns and billions of customer messages, Endear, the retail CRM for modern brands, has found that the era of the one-off marketing blast is ending. Personalized messaging to existing customers is up more than 50% year-over-year, and the highest email open rates of the year aren’t happening in November — they’re happening in February.

The data points to a structural shift: retail messaging is becoming an always-on layer of operations rather than a periodic marketing tactic, with brands treating it as a continuous, relationship-driven function across email, SMS, and WhatsApp.

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Messaging is growing fastest among existing customers, signaling a deeper focus on building long-term relationships and encouraging repeat buyers. Overall, messaging to repeat and one-time buyers is up more than 50% year-over-year, while outreach to non-purchasers is growing at a slower pace. Together, the trend reflects a broader move away from acquisition-only messaging toward sustained customer relationships across the full lifecycle.

“Retailers are focused on ongoing conversations with customers, where every message is part of building lasting relationships and brand loyalists,” said Leigh Sevin, co-founder and CEO of Endear. “Retailers that treat messaging as a relationship channel, not a broadcast tool are seeing the strongest results.”

While messaging is becoming more of a focus all year long, seasonal patterns still play a role. November saw the highest-volume month, and Q4 accounts for just over a quarter of annual messaging volume. That said, peak volume is outside of peak shopping season – February shows the highest email open rates at 56.1%, suggesting strong opportunities for post-holiday re-engagement.

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Channel usage is also evolving. Email remains the primary channel for structured communication, SMS is increasingly used for real-time, high-intent outreach, and WhatsApp adoption began accelerating in late 2025 as retailers expanded into more conversational customer engagement.

Endear supports more than 2,000 stores across 19 countries, powering clienteling and relationship-driven selling for brands including Reformation, AG Jeans, and Boll & Branch.

Planview debuts a new agent resource management capability, giving enterprises a single place to plan, govern, and optimize human and agentic AI resources.

Companies generate more value from customer relationships by consolidating tools, automating processes with AI, new research says

Modern drone systems often depend on continuous connectivity for control and data transmission, limiting their effectiveness in real-world conditions where networks are degraded, denied, or unavailable. This constraint restricts beyond-line-of-sight operations and prevents timely delivery of mission-critical intelligence.

Through this collaboration, EVERYWHERE Communications is introducing a resilient data transport layer utilizing Iridium Satellite that allows drones to operate autonomously while continuing to communicate critical sensor data back to operators and command systems.

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The technology enables:

• Beyond-line-of-sight operations, reducing reliance on continuous pilot control
• Reliable data exfiltration, ensuring sensor data reaches decision-makers even in disrupted environments
• Autonomous mission execution, including AI-driven search and detection patterns
• Scalable coordination, supporting large numbers of drones operating simultaneously
• Efficient command and control, including low-bandwidth “burst” communication channels for mission updates

“In austere environments, connectivity is never guaranteed,” said Jake Bailey, President of EVERYWHERE Communications. “We’re enabling drones to keep operating—and keep delivering intelligence—even when the network is compromised.”

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As part of this effort, Parsons is delivering TAK-as-a-Service (TaaS), providing scalable, mission-ready TAK Server integration and sustainment services tailored to the operational needs of the Department of War and Federal agencies. Through secure deployment, federation, and continuous support, the company enables real-time situational awareness and seamless data interoperability across distributed mission environments globally.

“In an era where every second and every signal matters, this collaboration brings together resilient autonomy in the air and trusted mission systems on the ground to give our warfighters and intelligence professionals a decisive information advantage,” said Mike Kushin, President of Defense and Intelligence at Parsons.

The platform also supports collaborative drone operations, allowing systems to relay information across distributed networks and contribute to a shared Common Operating Picture (COP).

This partnership represents a significant step toward enabling resilient, scalable, and intelligent unmanned systems to warfighters operating at the tactical edge.

V4b.AI is proud to announce the launch of its proprietary AI-driven video solution, designed to meet the growing demands of modern businesses for high-quality, scalable video content.

The newly launched system addresses a significant barrier in generative AI applications by maintaining product accuracy, apparel fidelity, and the consistency required for real-world business environments. By blending multiple foundational AI models, 3D-based accuracy layers, and structured post-production workflows, V4b.AI provides a reliable solution for creating video content tailored to ecommerce, fashion, advertising, and digital platforms. As demand for short-form video content escalates across industries like ecommerce, apparel, and D2C brands, the traditional approach to video production has proven costly, time-consuming, and challenging to scale. V4b.AI’s innovative system offers an alternative by enabling businesses to produce high-quality, tailored content faster and more efficiently. This eliminates reliance on physical shoots while empowering brands to create content effectively for global markets.

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“Technology has always amplified expertise, not replaced it. From Hollywood to high-end post-production studios, the model has been consistent, with controlled systems operated by specialists to deliver precision and scale. What we are building follows the same principle. Businesses should not have to become content production experts to use AI. They need reliable, high-quality outputs that help them scale, while we handle the complexity, control, and accuracy behind it,” said Manish Kumar, Founder of V4b.AI.

Founded by Manish Kumar, who brings over 20 years of experience across content, marketing, and technology, and who has built and run a successful digital creative agency over the past decade, V4b.AI represents a natural evolution of solving content challenges at scale.

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V4b.AI’s AI-powered video solution is poised to transform the way businesses approach commercial video creation, offering a scalable, accurate, and efficient alternative to traditional production methods.

The LC AEO Visibility Index enables supply chain companies to determine whether AI systems are citing them during buying cycles

LeadCoverage, the premier go-to-market consulting group for supply chain, logistics, and freight technology companies, today released the LC AEO Visibility Index, a free proprietary scorecard designed to help freight and logistics companies determine whether they are visible, discoverable, and cite-worthy inside AI-generated answers.

The scorecard arrives alongside LeadCoverage’s Answer Engine Optimization: From Ranking to Being Chosen, which documented 1,615% year-over-year growth in AI referral traffic for a leading enterprise TMS client and an average increase across the industry of more than 113%. LC research also found that organic traffic declines of 20 to 35 percent are now common even among best-in-class SEO programs, largely due to the rise in AI overviews and zero-click searches.

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“Measuring AEO is a major challenge right now, where the same prompt returns different answers across models, sessions, users, and geographies, meaning any single measurement is a sample not a census,” said Courtney Herda, VP of Digital at LeadCoverage. “The LCAVI gives companies a clear, cross-platform baseline so they know exactly where they stand before they invest another dollar in content or earned media.”

The three pillars address distinct layers of AEO performance. Visibility measures AI citation share and mention volume across ChatGPT, Perplexity, Gemini, and AI Overviews, including whether a company is being cited on the publications and queries its buyers actually read. Readiness evaluates whether a site is technically structured to earn citations, including zero-click data from Google Search Console, answer-format coverage on priority URLs, and schema and crawlability integrity. Impact measures whether AI visibility is connecting to real commercial outcomes, including branded search lift, AI-referral session tracking, and pipeline attribution in HubSpot.

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LC AEO Visibility Index runs on these three pillars and ten questions, each scored on a simple yes, partial, or no basis, producing a score out of 100 points. The research shows:

• Companies scoring 80 to 100 are Leaders, with AI citing them where buyers look and pipeline reflecting it.
• Companies scoring 50 to 79 are Contenders, visible in patches but without a clear line connecting citations to revenue.
• Companies scoring below 50 are Invisible, operating on mentions without measurement and measurement without meaning.

Companies scoring under 80 can book a 30-minute LCAVI walkthrough with the LeadCoverage team, which includes a benchmark against three named competitors and a prioritized lift plan.

HUMAIN, a PIF company delivering full-stack artificial intelligence (AI) capabilities globally, announced an expansion of its strategic collaboration with Amazon Web Services (AWS) through HUMAIN ONE, a new initiative to accelerate enterprise AI adoption globally. The first-of-its-kind generative AI enterprise operating system will redefine how organizations operate.

The collaboration will benefit from the upcoming launch of the AWS Region in the Kingdom of Saudi Arabia. Like all AWS Regions, the AWS Saudi Region will be a cluster of data centers, architected to meet the highest levels of availability, security, compliance and data protection, where organizations of all sizes can run cloud and generative AI workloads. With a sovereign-by-design approach, it will support sovereign generative AI deployments for regulated industries across the Kingdom.

HUMAIN ONE will also be available on AWS Marketplace globally, providing customers worldwide with seamless access to the operating system.

The collaboration brings together HUMAIN’s AI innovation with AWS’s global cloud infrastructure and advanced generative AI capabilities. Together, HUMAIN and AWS will enable enterprises and governments worldwide to transition from fragmented, application-based ecosystems to unified, generative AI-driven, agentic operating models.

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Tareq Amin, CEO of HUMAIN, said: “Enterprise AI has reached an inflection point where organizations are no longer looking for experimentation, but for measurable value at scale. That requires a fundamentally new operating system for how work gets done. Our partnership with AWS gives HUMAIN ONE the global reach needed to deliver on that promise. Together, we are enabling enterprises to move from pilots to fully scaled, production-grade generative AI where it is embedded into every application and workflow and drives real, tangible outcomes at a global scale.”

Tanuja Randery, Managing Director and Vice President for Europe, Middle East and Africa (EMEA) at AWS, said: “The next generation of enterprise technology will be built through deep partnerships that bring together AI innovation and global cloud infrastructure. That is what our expanded collaboration with HUMAIN represents. Innovators like HUMAIN are shaping the future of AI development and deployment, and we’re proud to be partnering with them to put the most advanced generative artificial intelligence tools in the hands of builders and business leaders across the Middle East and beyond, helping them turn ambition into real enterprise outcomes.”

Built with enterprise-grade security, data sovereignty and regulatory compliance at its core, HUMAIN ONE on AWS enables organizations to adopt agentic generative AI across their organization without compromising governance or control. The generative AI operating system integrates development, data, orchestration, and governance into a single, cohesive system.

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Core components include:

• HUMAIN Code – A development workspace for designing, building, and deploying generative AI products
• HUMAIN Guardian – A quality assurance engine ensuring performance, reliability, and continuous validation
• HUMAIN Eye – An automated security engine designed to detect, monitor, and mitigate risk across generative AI systems
• H2O Platform + SDK – A developer toolkit enabling the creation and orchestration of intelligent agents within HUMAIN Code
• HUMAIN Fabric – A scalable data infrastructure enabling ingestion, processing, and governance of data across the enterprise

Through AWS, HUMAIN ONE will leverage scalable compute, and advanced generative AI infrastructure, across 39 global Regions and 123 Availability Zones to support deployments across industries and geographies.

Leveraging AWS’s proven Marketplace, HUMAIN ONE will be available to enterprises worldwide, making it faster and easier for customers to deploy and integrate the operating system within their existing AWS environments.

Today’s announcement advances the strategic partnership between the two companies and the joint plan announced in May 2025 to invest more than $5 billion in AI infrastructure, AWS services, and AI training and talent development in Saudi Arabia.

Rolli (Rolli.ai) today announced the launch of its enterprise API and Model Context Protocol (MCP), giving companies a direct way to integrate verified social media intelligence into software products, internal systems, and AI assistants.

The platform enables organizations to move beyond fragmented, unverified social data by providing a unified, structured intelligence layer built entirely on public signals. Through a single schema, Rolli delivers multi-platform insights including narrative trends, breakout moments, coordination signals, and enriched post-level data across eight major social platforms.

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Delivered via REST API or MCP, Rolli’s system is designed for seamless integration into modern workflows and AI environments. Teams can query, analyze, and act on verified social signals in real time, with precomputed enrichment including entities, sentiment, velocity, and authenticity scoring.

“Enterprises don’t need another firehose of content,” said Nick Toso, Founder and CEO of Rolli. “They need a verification layer they can trust and deploy directly inside their products and workflows. Rolli provides that layer, turning public conversation into structured, actionable intelligence.”

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Organizations are already using Rolli to identify coordinated narrative spikes, assess authenticity of emerging trends, and respond to reputational risks before they escalate. By combining cross-platform visibility with authenticity scoring, Rolli enables teams to distinguish between organic momentum and inauthentic amplification at scale.