Semantic intelligence company Collate Inc. today announced the launch of Collate AI Analytics, a new chat-based tool that lets data analysts find data sources, write queries and build dashboards from plain-language prompts in a single interface.

Collate, the company behind the open-source OpenMetadata project, is pitching the product as allowing analysts to work without prior knowledge of where data lives or how metrics are defined inside an organization. Analysts type a question and the tool identifies the relevant data, generates the query and visualizes the result. Charts can be saved, shared and assembled into dashboards used across the enterprise.

The release offers an alternative to traditional analyst workflows, where an analyst has typically had to enlist a data engineer to build a pipeline and then rely on a separate business intelligence tool to surface the answer.

Under the hood, the release uses what Collate calls a Semantic Context Graph, a metadata layer built from schemas, ontologies and data lineage that gives artificial intelligence the context to return accurate answers and reduce hallucinations. Differing from general-purpose AI tools, Collate AI Analytics is meant to understand how a specific business defines its own data before answering a question.

“Similar to how vibe coding transformed software engineering, Collate AI Analytics gives data analysts the freedom to experiment, explore and create by simply telling our AI data analyst what they need,” said Chief Technology Officer Harsha Chintalapani. Chintalapani added that the Semantic Context Graph connects AI agents to the right data sources for each prompt while enforcing compliance with regulations and internal data policies.

Along with the launch of AI Analytics, Collate also announced today that it is expanding its standards-based semantic metadata graph with new capabilities.

The new capabilities include Knowledge Graph, which visualizes how technical data assets connect to business meaning; Ontology Explorer, which maps relationships between business concepts and glossary terms; Glossary Terms and Relations, which adds standards-based structure to business concepts; and Hybrid Search, a unified search experience combining natural language and keyword queries.

Collate AI Analytics is available now to existing Collate customers and will be generally available the first week of May.

Collate has raised $14.8 million in funding, according to PitchBook, including a Series A round of $10 million in July. Investors in the company include Venrock Associates, Unusual Ventures LP and Karman Ventures.

Image: Collate