We're building a data hub and marketplace that provides AI with structured, inference-time data. We're doing away with poor quality output based on made-up data and replace it with high-resolution answers with traceable data sources and transformations.
Intent
I need it when
Enable team members to query data safely using natural language without SQL knowledge
Baselight AI Assistant converts natural language questions into SQL queries automatically, finds relevant data from the catalog, executes queries, and summarizes results. Teams can analyze data without SQL expertise, and the Teams plan provides shared workspace with per-user limits for collaborative analysis.
Build AI agents and autonomous systems that reason over verified, structured data instead of hallucinating
Baselight connects language models to structured data via MCP (Model Context Protocol), grounding every AI response in real facts. Developers can query verified datasets through MCP connections, ensuring transparent, explainable context for autonomous agents and copilots.
Combine private company data with public datasets for comprehensive analysis and reporting
Baselight Studio allows users to upload custom CSV data and securely combine it with public datasets. Users can create dashboards, write SQL queries, and visualize results for client reports while maintaining data privacy and control over visibility.
Investigate stories and verify claims using trustworthy, traceable data sources
Baselight enables journalists to search and cross-check public datasets instantly, trace every figure back to its original source, and build interactive data-backed visual stories. Every number and claim can be verified and attributed, supporting fact-checking and transparent reporting.
Query and analyze large public datasets without switching between multiple data sources
Baselight consolidates 70,000+ public datasets into one unified catalog accessible via natural language queries. Users ask questions in plain English and receive answers grounded in verified data, eliminating the need to navigate government databases, research portals, and market reports separately.
Drop
Not a fit when
User needs real-time streaming data ingestion; Baselight is optimized for batch analysis and structured datasets
User requires offline-first or air-gapped data analysis without cloud connectivity
User works exclusively with unstructured text data and has no need for SQL or structured querying
Organization has strict data residency requirements outside cloud infrastructure
User needs advanced machine learning model training; Baselight focuses on data discovery and analysis, not ML model development