Discover Huwy: the AI Agent Transforming Data Exploration

Agentic AI is everywhere. With the ability to act autonomously based on understanding of the real-world context, AI agents promise unprecedented gains in productivity and automation.

The Huwise platform already features advanced AI capabilities including semantic search, similar-data recommendations, and its own Model Context Protocol (MCP) server. It’s now taking another major step forward with the integration of Huwy, its AI data exploration agent designed to make discovering data feel as natural as having a conversation. 

Organizations are investing heavily in data management tools, including for storage, cataloging, and visualization, as well as building specialist, expert data teams. Sharing this data via a self-service data product marketplace delivers information through an intuitive experience that maximizes usage and creates value.

However, while non-technical business users need rapid access to information to make data-driven decisions, they don’t have the time or skills to browse and consume raw data.

Huwy provides the answer. Designed for all users, regardless of their technical skills, it is a conversational AI agent that enables natural, contextual, and near-instant interaction with data.

The goal is to make exploring data as straightforward as having a conversation, delivering the right insights at the moment they’re needed. Users interact with Huwy using simple prompts to explain what they are looking for and the form that they want information delivering in. They then receive instant access to the most relevant and actionable insights, based on their specific business context.

Huwy provides the same intuitive and familiar experience as conversational AI agents such as ChatGPT. Users browse the data product marketplace, ask their question in natural language, type a prompt to interact with the agent, and receive an immediate, contextualized answer directly within their workflow, such as on the homepage, in the catalog, or on an individual product page.

Behind the scenes, the exploration agent is connected to Huwise’s MCP server. It scans technical documentation, executes API queries, and carries out all the necessary actions to provide reliable and relevant answers.

For example, a sales manager browsing customer data on the marketplace might ask: “Who is the Customer Success Manager for Acme Corp?” In under two seconds, Huwy analyzes all available data on the marketplace, identifies the relevant dataset, and extracts the exact answer.

Huwy can explore the content of structured data — whether stored in the marketplace or virtualized from tools like Snowflake or Databricks, without needing to duplicate it. This direct access enables users to get concrete answers – just searching metadata would provide little or no value.

Unlike most data-oriented solutions such as data catalogs which remain limited to metadata, Huwy lets users search directly within the data itself. Connected to Huwise’s MCP server, it explores structured data wherever it resides, without needing to duplicate or move it. This unique capability delivers concrete answers where metadata alone cannot.

Huwy is the only solution that combines an AI agent capable of directly exploring data with an interface built for exploration and that can be fully customized to individual company branding. Even if they don’t know what data is available, users are guided at every step — homepage, catalog, dataset page — and benefit from contextual, personalized suggestions that encourage deeper exploration.

Huwy follows the user journey, remembers interaction history, and anticipates potential needs, offering relevant suggestions. Data exploration becomes fluid, conversational, and intuitive, reducing time spent searching and increasing the value extracted from data.

What you can’t measure, you can’t improve. The platform therefore provides comprehensive tracking of all Huwy-related usage: API calls, user actions, integration into the data consumption funnel, and more. This information enables administrators to continuously understand and optimize the performance and user experience of their data product marketplace.

Huwise is committed to increasing the use of agentic AI across its platform, with upcoming developments enabling the deployment of specialized operational agents designed to augment human expertise. These will automate or orchestrate recurring tasks for data product marketplace administrators. This frees up their time to focus on real value creating activities such as identifying high-value data, co-designing data products with business teams, and leveraging the latest AI advances to improve analysis, exploration, and the value created from data.