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Colrows is the autonomous semantic layer that makes enterprise AI reliable, governed and production ready. Most enterprise AI projects stall not because the models are wrong, but because AI systems have no shared understanding of what the business actually means by its own data. Definitions drift across teams. Metrics conflict between functions. Every new AI agent rebuilds the same business context from scratch. The result: inconsistent answers, expensive failed pilots and governance gaps that block production deployment at scale. Colrows fixes this at the foundation. It continuously crawls your databases, data catalogs, documentation and user conversations to build a self-updating knowledge graph of your business - entities, relationships, metrics, triggers, events and constraints. Every AI agent, copilot and analytics workflow in your stack draws from this single governed layer automatically. No hand-coding. No manual maintenance. No model drift. What this means in practice: - AI answers that are consistent, reproducible and auditable - every time, not just when the prompt happens to work - The same question always gets the same answer, grounded in your actual business logic - Conflicts and semantic drift detected automatically before they surface in an exec review or a production incident - No data engineer manually maintaining a model that breaks the moment the business evolves - Natural language analytics for anyone on the team - no SQL required - One semantic foundation shared across every agent your team deploys - no context rebuilt from scratch Colrows is not a BI tool. It is the intelligence layer on which the next generation of enterprise AI will run. Trusted across BFSI, Pharma, Retail and regulated industries globally. Book a demo to see how Colrows eliminates AI hallucinations in your enterprise data stack: https://cal.com/yogendra-colrows/30min colrows.com | engage@colrows.com

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Harshit Chouhan is the Co-Founder and Chief Product Officer of Colrows.

6 people are employed at Colrows.

Colrows is based in Pune, Maharashtra.

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