Product · Data & Analytics
Colrows
Semantic Execution Layer for Enterprise AI
- Built for
- Enterprise Data & AI Teams
- Modules
- 11
- Stack
- 7
- Semantic Graph Engine
- Conversational AI Analyst
- Semantic Studio
- Compiled Dashboards
- Meaning Layer (Ontologies)
- Structure Layer (Knowledge Graph)
- Behavior Layer
- Compile-time Governance
- Multi-dialect SQL Emission
- Catalog Ingestion
- dbt Metrics Import
- Semantic Graph
- JDBC
- Snowflake
- Databricks
- BigQuery
- dbt
- AWS/Azure/GCP
Semantic execution layer that sits between data warehouses and AI agents, dashboards and applications, autonomously building a typed semantic graph across the entire data estate so every agent query compiles deterministically, every join is proven, and every answer is traceable. Compile-time enforcement of RBAC, ABAC and row/column-level security runs before SQL hits the warehouse, with dialect-perfect emission across 16+ engines including Snowflake, Databricks, BigQuery, Redshift, Postgres, ClickHouse and Trino. Ingests dbt metric definitions, data catalogs (Alation, Atlan, Collibra, Dataplex), Power BI assets and Confluence docs into a single versioned graph. Deployed across pharma, retail and finance with customers including Pfizer, Cipla, BTS Group, Flobiz and Brexa, hosted on AWS, Azure or GCP.
- Deterministic query resolution via a versioned typed semantic graph
- RBAC, ABAC and row/column security enforced at compile time, not runtime
- Dialect-perfect SQL across 16+ engines (Snowflake, Databricks, BigQuery, Redshift, Postgres, ClickHouse, Trino, MySQL)
- Autonomous graph maintenance with statistical drift detection
- Formally proven join paths before execution
- LLM-agnostic and framework-agnostic integration via API and JDBC
- Ingests dbt metrics, Alation, Atlan, Collibra, Power BI and Confluence
- Deployed at Pfizer, Cipla, BTS Group, Flobiz and Brexa