# Collate 2.0 Fixes AI’s Biggest Enterprise Data Problem

Jun 10, 2026

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Steve Wooledge

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**Menlo Park, Calif. — June 9, 2026 —** [Collate Inc.](https://www.getcollate.io/), the AI for Data company, today unveiled Collate 2.0, a major new release from the creators of OpenMetadata, with a new AI-native experience powered by Collate’s semantic context graph.

Collate 2.0 unlocks the potential of AI for anyone who needs to organize and understand data — including analysts, data engineers, and governance professionals. LLMs identify the right data for a given prompt only about 10% of the time, which has made AI a non-starter for serious data applications. Data professionals have had to sit by and watch enviously as software developers accelerated their work with AI copilots. With Collate 2.0, data pros can vibe-work with the best of them. 

### **AI-Native Experience**

Users can now tag, classify, document, curate, search, and analyze data by simply describing what they want to do conversationally. Guided by Collate’s semantic context graph, Collate translates prompts into reliable action. 

The job could be almost anything. A data engineer might build a landing page that monitors pipeline health. A governance lead could view pending approvals and policy gaps. An executive could check the health of their data estate. Each view is LLM-powered, interactive and automatically adapted to the user’s persona.  

Collate 2.0 also supports scheduled AI workflows called automations. Describe a recurring task, and Collate will pick the best agents and data sources, and make sure it runs at the appropriate time. Five built-in templates cover common jobs such as regulatory compliance tagging, domain assignment, and data quality testing.

Whatever the task, users can work alone with the AI or collaborate with their teammates. Collate saves conversations in memory as reusable knowledge, so teams can build on each other’s work.

### **Collate AI**

Collate 2.0 comes with a rich set of tools and automations for building and maintaining its AI capabilities. 

Out of the box, Collate 2.0 provides agents for Metadata Ingestion, Documentation, Data Quality, Data Classification, Tiering, and more. It provides a no-code AI Studio for building custom agents, and AI SDK for teams that want to develop agents programmatically. 

Collate’s new Context Center provides a central hub for managing semantics and memory. Every time a user corrects the AI in conversation, the change becomes a shared “memory nugget” inherited by future queries, capturing preferences and tribal knowledge and sharing them with every AI agent in the enterprise.

Collate 2.0 also includes a new Data Marketplace: an internal storefront for domains and data products with self-serve discovery, governed data product check-out, and end-to-end Data Access Request Workflows, so agents and teams easily find preferred sources of data.

"The data team is the last persona in the enterprise to get a real AI workflow," said Sriharsha Chintalapani, CTO of Collate. "Developers got Cursor and Copilot early because code already lives inside a designed system of context. Data did not — until now. Collate 2.0 closes that gap, combining agents, automations, developer tools, and a marketplace for governed data products on top of OpenMetadata, the open context layer for humans, AI assistants, and agents, accessible across every cloud and every LLM. "

### **Semantic context**

The secret to Collate’s accuracy is its unique semantic graph, which stretches across every data source in the enterprise.

Collate 2.0 gives AI agents not just context, but _semantic context_. Context tells AI what data exists. Semantics tells AI what it means. Memory makes the knowledge persistent and shareable. 

Collate uses more than 130 native connectors to map every enterprise data source to a single metadata graph to provide Context. It supplies agents with Semantics using a rich ontology to understand business concepts, reason over data, and reach accurate conclusions-.  And Memory remembers how different teams and individuals use language, learning from previous interactions and making agents more effective over time.

Tests show semantic context boosts data agents’ performance as much as 7X. 

“Data gravity has shifted. The value of enterprise data doesn’t come from the database anymore. It comes from a shared layer of meaning,” said Brad Shimmin, VP practice lead for data and analytics, Futurum. “Without that semantic layer, AI might work as a canned demo but can’t function under real-world conditions. By providing context, semantics and memory on an open foundation, Collate gives AI agents the ability to reason reliably over data throughout the enterprise while providing more accurate, trusted insights and decisions.”

### **Availability**

Collate 2.0 will be generally available in July 2026.

To learn more about Collate 2.0, [join](https://www.getcollate.io/summit2026) Collate’s Virtual Summit on June 10th, where OpenAI’s Head of Data Productivity, Bonnie Xu will be speaking. 

### **About Collate Inc.**

Collate is the AI for Data platform built on OpenMetadata, the open semantic context layer for AI. It automates data management, answers questions in natural language, and gives enterprises a single source of truth for every AI agent and analyst. Global 2000 companies and innovative startups rely on Collate to put AI for data into production. Headquartered in Silicon Valley, Collate is backed by Venrock, Unusual Ventures, and Karman Ventures. Learn more at [getcollate.io](http://getcollate.io).

Media Contact  
Meghana Patnana  
Firebrand Communications  
[collate@firebrand.marketing](mailto:collate@firebrand.marketing)  
415-848-9175

[#openmetadata](/blog/tag/openmetadata)[#collate-ai](/blog/tag/collate-ai)[#ai-for-data](/blog/tag/ai-for-data)[#ai-agents](/blog/tag/ai-agents)[#data-governance](/blog/tag/data-governance)

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