Bloomreach has introduced Loomi AI for Shopify, which will allow merchants to create advanced personalized experiences by harnessing artificial intelligence without requiring any kind of coding or technical expertise. Offered via the Shopify app store, Loomi AI connects Shopify merchants to Bloomreach’s marketing and search solutions, thus integrating customer, product, and commerce data to provide seamless personalization across the entire customer journey. In today’s age of increasing focus by merchants on delivering personalized experiences, Loomi AI uses behavioral data and context information to provide relevant personalization in terms of search, shopping, and omnichannel marketing campaigns. Some key features of Loomi AI include personalized search experience, targeted email and SMS marketing powered by live commerce data, and on-site personalization even for anonymous shoppers.

Also Read: Datasite Introduces MCP Server to Securely Integrate AI Assistants with Deal Workflows

Additionally, Loomi AI introduces strategic promotion capabilities that optimize discounting by targeting only high-impact shoppers, preserving margins while boosting conversions. “Merchants shouldn’t have to choose between sophisticated personalization and operational simplicity,” said Anirban Bardalaye, Chief Product Officer, Bloomreach. “Loomi AI for Shopify gives merchants a direct connection between their Shopify store and Bloomreach’s personalization tools, all powered by the same real-time intelligence from Loomi AI. That means no matter how the customer journey evolves — particularly as emerging channels like ChatGPT enter the mix — personalization can remain consistent across the entire experience.”

Read More: Bloomreach Launches Loomi AI for Shopify:A Single App for Personalizing the Entire Customer Journey

Datasite has launched its Model Context Protocol (MCP) server, which allows for the easy integration of their Virtual Data Room (VDR) with AI assistants like Claude, ChatGPT, Microsoft Copilot, and Blueflame AI. This is an important step by Datasite since it’s the first VDR service provider to use Model Context Protocol server. This solves the issue of exportation of documents in the past that was needed for AI assistants’ use. Powered by its recently acquired Blueflame AI, the MCP server allows AI tools to access and analyze live deal content within the VDR while strictly enforcing permission controls and audit logging.

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“Deal teams shouldn’t have to choose between AI and governance,” said Rusty Wiley, President and CEO of Datasite. “With our MCP server and embedded Blueflame AI, we’re redefining how deal teams operate, not by asking them to change where they work, but by connecting AI to where their work already lives.” The solution enables teams to create and manage data rooms, summarize documents, compare versions, and accelerate due diligence workflows directly within their AI environments. “Governance and auditability don’t disappear just because the interface is an AI assistant,” said Doug Cullen, Chief Strategy Officer at Datasite. “This is about making Datasite the system of record for every AI interaction with deal content.”

Wiland has expanded its predictive analytics portfolio with the launch of WAIfarer and WAIfinder models, introducing advanced Neural Net modeling to enhance audience intelligence for brands and nonprofits. Unlike the current industry focus on generative AI and large language models, Wiland’s approach emphasizes predictive performance, leveraging Neural Nets to analyze complex variable relationships across multiple layers and uncover patterns often missed by traditional machine learning methods. The early results show that the approach offers better results, such as greater prospect identification and increased success of merges. The models will be especially useful in cases when cooperation between companies cannot be achieved, and more advanced analysis is necessary to find new opportunities.

Also Read: Seedtag Launches NeuroX to Redefine Media Planning with Neuro-Contextual AI

Seamlessly integrating with Wiland’s existing data assets and frameworks, the new capabilities allow clients to adopt advanced modeling without disrupting current workflows. “AI is only valuable when it drives measurable business outcomes,” said Mike Gingell, CEO of Wiland. “Our investment in Neural Net modeling reflects our commitment to helping clients move beyond surface-level insights and into truly predictive intelligence. This capability allows us to uncover new, high-performing prospect universes and deliver incremental growth that simply wasn’t accessible before.” Reinforcing its focus on actionable intelligence over data volume, Wiland aims to empower smarter marketing decisions and sustained revenue growth.

Seedtag has unveiled NeuroX, its Neuro-Contextual Exchange, marking a significant shift in media planning and activation by embedding advanced AI-driven understanding directly into the ad exchange layer. Powered by Seedtag’s proprietary AI, Liz, developed over more than a decade, NeuroX enables every impression across its network of over 30,000 premium publishers and broadcasters to be analyzed based on emotion, intent, and contextual relevance, rather than relying on traditional identity signals. This approach addresses growing challenges around signal loss and fragmented audience targeting by decoding each impression before activation, unlocking new levels of scale and precision across web and connected TV environments.

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“Media planning has been constrained by infrastructure that was never designed to understand how the mind contextualizes content,” said Brian Gleason, CEO of Seedtag. “As identity signals break down, that limitation becomes impossible to ignore. NeuroX embeds  Seedtag’s Neuro-Contextual AI directly into the exchange so every impression is understood before it’s traded. That allows us to partner with agencies in a fundamentally different way: using neuroscience to revolutionize how audiences are identified, planned, and reached.” NeuroX delivers value across stakeholders by enabling agencies to access untapped inventory, helping publishers monetize previously unaddressable impressions, and improving engagement for brands through contextually aligned advertising. The platform also introduces flexible activation models and will expand with a self-serve curation capability in 2026.

FreeWheel has launched an all-new tool called Partner Portal which aims at making things easier for the technology partners when it comes to developing, testing, and deploying their solutions for premium publishers in the dynamic realm of streaming advertisements. The new tool works on the platform of FreeWheel’s Streaming Hub. It has been developed to overcome various problems faced by the industry including integration issues, lack of visibility, and long innovation cycles. This enables capabilities ranging from AI-driven optimization and campaign management to automation and agentic AI copilots, tailored specifically for connected TV (CTV) workflows.

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“Partner Portal gives FreeWheel partners a faster, more secure way to build and bring new capabilities to market without sacrificing the trust and control publishers deserve,” says Matt Clark, VP of Strategy and Partnerships at FreeWheel. “Built on FreeWheel Streaming Hub, it reflects our ‘built in, build on’ approach: standardized access without sacrificing flexibility. Unlike one size fits all tools, its purpose built around CTV workflows, supporting how premium TV is bought, sold, and managed today.” While making the solution less dependent on custom integration, Partner Portal ensures that there is tight control over the process for the publishers. This way, FreeWheel can provide its customers with solutions for their premium connected TV needs in an efficient manner.

Hyland has launched new products as well as innovations to their Content Innovation Cloud, which have been developed in order to enable organizations to manage their content in a modern manner and integrate AI in their work processes along with preparing for agentic automation. Some of the innovations launched by Hyland include industry-focused solutions, AI-enabled content services, and improved platforms that have the ability to provide insights to organizations, thereby streamlining processes and creating better experiences for customers and employees in regulated industries. “Organizations don’t need more disconnected AI tools; they need intelligence embedded where work actually happens,” said Michael Campbell, chief product officer at Hyland. “Our latest product innovations extend content management and AI directly into the systems our customers rely on every day, turning insight into action while preserving the governance, trust, and control required to operate at enterprise scale.”

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“Hyland is moving beyond generic AI experiments to deliver agentic capabilities that act on governed enterprise content in the flow of real work,” said Alan Pelz-Sharpe, founder & principal analyst at Deep Analysis. Key innovations include Hyland Agentic General Ledger Coding for automated, explainable financial workflows, Hyland for SAP S/4HANA for seamless, compliant content integration, and Hyland for Workday Student to enhance academic content management. Industry analysts highlight Hyland’s shift toward agentic AI, enabling systems that not only suggest but securely act within complex processes, positioning enterprises for scalable, AI-driven transformation.

Read More: Hyland introduces new agentic and AI‑driven innovations to turn enterprise content into action

Pollo AI has announced the integration of OpenAI’s GPT Image 2 into its platform, offering more benefits in terms of creating images. The development goes further than improving image quality but centers around offering enhanced performance in cases when text precision, structure, composition, and realism are crucial. It turns out that GPT Image 2 has achieved success in producing images in complicated text-rich settings, which include interfaces, editorial pages, and compositions. Moreover, there are improvements in terms of supporting multiple languages and writing systems, including those not based on Latin.

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“The new Image gen alpha models show remarkable progress in image fidelity, flexibility, and performance. At Pollo.ai, we’re excited to bring these models to our users, as their improved resolution options and quality controls directly address the creative and technical demands of our community. This release marks a significant step forward in delivering faster, higher-quality visual generation,” said Bill, CEO of Pollo AI. This new feature is another way that Pollo AI is reinforcing its commitment to the platform concept by providing more tools for creating images and videos that will allow users to quickly generate assets.