Collate, Inc., the semantic intelligence company, is introducing powerful capabilities that give AI agents and other AI workflows a deep semantic understanding of enterprise data assets, relationships, and context—transforming metadata into a usable semantic graph.
According to the company, Collate grounds models in a shared understanding of enterprise data, building trust in AI outcomes and accelerating time-to-value.
Collate analyzes the organization’s data environment and builds a standards-based semantics layer on top of its metadata, connecting important semantic concepts to specific data structures using OpenMetadata’s JSON schema extensions, an RDF-based graph, and ontologies.
This makes enterprise data machine-readable, traversable, and usable by LLMs and agents, transforming AI initiatives from error-prone pilots to trusted production-ready systems.
Central to Collate’s new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments, the company said.
AI Studio provides a suite of four pre-built AI agents and assistants to automate common data tasks:
- Data Quality Agent - designs comprehensive data quality strategies, builds test suites and establishes organizational data trust
- Tier Management Agent - analyzes and assigns appropriate tiers to data assets based on criticality and usage patterns
- Documentation Agent - helps create and update descriptions for database tables and columns
- SQL Query Agent - generates optimized SQL queries based on user requirements
Enterprises can use AI Studio to customize each agent, build new agents, or craft their own workflows to improve data integrity, enforce governance, or conduct routine inquiries.
“Enterprises have no shortage of data to feed into their AI agents, but what they are missing is shared context,” said Suresh Srinivas, CEO of Collate. “Metadata explains what the data is but not what it means. AI agents will confidently make up that meaning to fill the void. With semantic intelligence, we’re giving organizations a new foundation to build AI that’s grounded in shared definitions, ontologies and meaning, so they can trust the outcomes.”
Building on Collate’s existing support for Model Context Protocol (MCP), the new release also introduces an AI SDK that enables third-party developers to integrate Collate’s semantic intelligence into their external agentic workflows and applications using Python, Java, and TypeScript.
AI Studio and AI SDK extend Collate’s industry-leading semantic intelligence platform, which unifies enterprise metadata into a single workspace to facilitate data discovery, observability, governance, and interoperability.
Collate offers a broad array of features to make data AI-ready, including strong data governance, end-to-end data lineage which now supports OpenLineage standards, support for RDF, DCAT, DPROD standards, and emerging standards such as the Open Data Contract Standard (ODCS), the company said. Collate integrates with over 120 enterprise data sources to help teams maintain consistent semantics across tools without vendor lock-in.
For more information about this news, visit www.getcollate.io.