Collate Inc., the semantic intelligence company, is introducing Collate AI Analytics, a new capability that enables data analysts to talk with their data to discover sources, build queries, create charts and dashboards, and extract key business insights.
In addition to this, Collate is releasing new semantic context features that give analysts and AI precise understanding across business concepts and technical data, increasing
Collate’s Semantic Context Graph extends across every data source in the enterprise, ensuring accurate, reliable results for any tech stack, according to the company.
Previously, to answer even a simple question, analysts needed to work with a data engineer to build and maintain the pipeline, and rely on business intelligence tools to surface the result. Now they have an AI data analyst that can not only give them the answer, but also uncover additional, unexpected insights, the company said.
Collate AI Analytics identifies the right data, generates the query, and visualizes the results—all with one prompt. Visualizations created with Collate AI Analytics can be saved, shared, and assembled into dashboards accessible and extended by others across the enterprise.
“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 Harsha Chintalapani, CTO of Collate. “Collate AI Analytics accelerates their work while delivering trustworthy results grounded in semantic intelligence. Collate’s Semantic Context Graph connects AI agents with the right data sources for every prompt for accuracy, while ensuring strict compliance with regulations and internal data policies.”
Collate AI Analytics understands the precise meaning of a company’s data through schemas, metadata, ontologies, and data lineage, giving AI the context it needs to deliver accurate, trustworthy results, Collate said.
In addition to Collate AI Analytics, Collate is expanding its standards-based semantic context graph with new capabilities to further augment understanding and visibility:
- Knowledge Graph - interactively visualizes Collate’s semantic foundation, showing how technical data assets connect to business meaning
- Ontology Explorer - maps relationships between business concepts and glossary terms, making the semantic structure navigable for data analysts
- Glossary Terms and Relations - adds structure to business concepts with standards-based relationships that can be understood by both AI and humans
- Hybrid Search - provides a unified search experience that enables analysts to quickly find trusted data assets with both natural language and keyword search.
These new capabilities enhance the Semantic Context Graph to make data analysts’ and ontologists’ everyday workflow and operations easier, the company said.
Collate AI Analytics and the new semantic intelligence features are available now to Collate customers and will be available to the public in the first week of May.
For more information about this news, visit www.getcollate.io.