Huwise launches Agentic AI Framework to build powerful AI agents that address business needs

New usage context layer powers successful organization-wide AI agent deployments and adoption

BOSTON, MA, UNITED STATES, September 15, 2026 /EINPresswire.com/ — Huwise, the leading provider of data product marketplace solutions, today launched its Agentic AI framework, designed to accelerate enterprise-wide usage of data and increase the effectiveness of its data product marketplace solution. Built on the Huwise usage context layer, the framework enables customers to seamlessly create and deploy AI agents across their self-service data marketplaces while providing relevant context to underpin enterprise-wide agent deployments.

Available now and already in use by multiple Huwise customers, the framework powers a range of turnkey AI agents designed by Huwise to improve and optimize data products, automate marketplace management, and increase efficiency. It underpins Huwy, Huwise’s data mining agent launched in December 2025. Clients can also use the framework to create their own agents, personalized to their own specific requirements and business needs.

Understanding the importance of usage context to AI agents
By acting autonomously AI agents dramatically increase productivity, efficiency, and innovation. However, for agents to act effectively they need access to reliable, contextual data. The Huwise usage context layer provides this critical capability, based dynamically on which data is used, what searches are made, and by what roles, within the data marketplace as well as the semantics specific to each company, such as their business glossary. This means that unlike static layers, Huwise is continuously enriched with the actual uses of the platform, which makes it dynamic and ever more reliable over time. This living context knowledge underpins the Agentic AI framework and means that AI agents understand how data is used across the organization, enriching their understanding and ensuring more accurate and effective results.

Based on an intuitive, e-commerce marketplace-style experience, Huwise’s data product marketplace solution is designed to increase data consumption and value. With capabilities such as AI-driven search, APIs, and a built-in Model Context Protocol (MCP) server, it enables organizations to provide secure, compliant self-service access to data in the right formats to deliver usage by both humans and AI.

Jean-Marc Lazard, President and co-founder of Huwise said: “AI agent deployments are accelerating rapidly, driven by the promise of greater automation and increased productivity. However, context is essential to their success. An agent, no matter how efficient, is only as good as the data it relies on: it needs rich, reliable and relevant context to produce truly usable results. That’s why we have developed our own agentic framework, which we are implementing to deploy AI agents based on our usage context layer. Our customers are already seeing benefits, both through our turnkey agents and those they are creating themselves. The framework will accelerate AI agent deployments and the adoption of data within organizations, so that everyone can maximize the value of their data.”

Combining turnkey and custom AI agents
Designed to maximize the success of data marketplaces, Huwise’s range of turnkey AI agents are based on a matrix built on analysis of marketplace usage. From turnkey agents identify and flag the actions that have the highest impact on marketplace performance and data consumption while solving common use cases. Current turnkey agents include:
• Opportunity Spotter: an agent that uncovers unmet needs in the data marketplace, such as detecting searches with no results and interrupted user journeys
• Marketplace Curator: an agent that continuously optimizes each data product, recommending priority actions such as revising descriptions or increasing promotion
• Data Product Builder: an agent that accelerates data product creation, such as by generating a complete data product, including product page, visualization or dashboard, metadata, and similar assets
• Metadata Filler: an agent that recommends updates and additions to fill in missing metadata

Turnkey agents alone cannot meet the diversity of organizations’ business needs. The Huwise framework therefore enables organizations to create their own, fully customized agents, with each component configured to meet their needs. Agents are based on usage context, adapted to the company’s specific business rules, scope, data sources, governance, and operating models.

David Thoumas, Chief Technology Officer and Co-founder of Huwise said:
“At Huwise, our mission is to enable businesses to increase data consumption and value – both by humans and AI. Our Agentic AI framework accelerates this vision, building on the key capabilities we have been developing in the platform over the last 15 years, including robust and documented APIs, an embedded MCP server, and proven hosting and scaling capabilities. We are committed to helping our customers embrace agentic AI and are working closely with them to create new uses, based on their feedback. Our ambition has not changed: to accelerate the virtuous circle of data usage, by making the platform more relevant to attract more visitors, generate new signals and enrich usage context for agents.”

A context layer built on solid foundations
Based on Huwise’s 15 years of expertise, the Agentic framework relies on the solution’s technology foundations, in particular its APIs and its MCP server, to provide a robust foundation for the creation and deployment of AI agents. Huwise’s usage context layer is also built on current market standards to ensure it is usable across the data stack.

About Huwise
Huwise helps data leaders transform their data into a source of knowledge, innovation, and performance.

We design a SaaS data product marketplace solution tailored to business teams and non-expert users, making data accessible, actionable, and value-generating. With Huwise, organizations provide employees and partners with secure, self-service access to their data products through a single platform.

In just a few weeks, we can deploy any type of data product marketplace, whether internal or external.

Today, more than 350 clients across 25 countries rely on Huwise to accelerate their data initiatives, with over 3,000 platforms already deployed worldwide. Backed by 14 years of expertise in data management, we deliver tailored support to address the business use cases of our clients.

Christopher Measures
Measures Consulting
chris@measuresconsulting.com
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