Snow Leopard provides an automatic semantic data intelligence engine that analyzes database schemas to generate accurate SQL queries and fetch live results directly from source systems, eliminating the need for ETL pipelines. The platform delivers over 90% data accuracy out of the box, offers explainable query outputs, and can be deployed on‑prem, in the cloud, or in a BYOC environment, ensuring data never leaves the enterprise’s trusted systems.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises building AI agents often struggle with unreliable data access, requiring extensive ETL pipelines, manual schema mapping, and insecure data handling, which slows development and reduces confidence in agent outputs.
Solution
Snow Leopard offers an automatic semantic data intelligence engine that analyzes database schemas to understand business logic, relationships, and constraints, delivering over 90% data accuracy out of the box. The platform generates SQL queries and directly retrieves live results from the source system, eliminating the need for separate ETL or data pipelines. Deployments can run on‑premises, in the cloud, or in a bring‑your‑own‑cloud environment, ensuring that data never leaves the organization’s trusted systems. Each query is accompanied by an explanation of the generated SQL, the data sources used, and the reasoning behind the results, providing transparency and enabling users to guide the agent with feedback. This combination accelerates the delivery of enterprise AI agents while maintaining security and trust.
Target Audience
Primary customers are enterprise product teams, data engineers, and AI developers who need reliable, secure, and explainable data access for building and deploying AI agents at scale.
Features
- Automatic schema analysis that infers business logic, relationships, and constraints for high‑accuracy data retrieval
- Real‑time SQL generation and direct data fetching from source databases, removing the need for ETL or context engineering
- Deployable anywhere (on‑prem, BYOC, or cloud) with no data copying; all queries run against the original system of record
- Explainable output that details the generated SQL, data sources accessed, and rationale for the results
- Multi‑source retrieval capability across heterogeneous databases without additional integration layers
- Secure, isolated execution environment that complies with enterprise data governance policies