I started Parsa after years of seeing the same problem up close: companies had huge amounts of valuable text, but no reliable way to turn it into analytics they could trust.

My background is in chemical engineering, but for the last decade my work has been in data, AI, and large-scale text analysis. I have built proprietary AI systems from the ground up, worked across startups, enterprises, and private equity-backed companies, and led AI transformation in Defence, Government, and other regulated sectors.

That experience shaped Parsa.

With AI, trust depends on auditability and reproducibility. Every label needs to be scored, versioned, and traceable.

Parsa is built around that standard: analytics you can trust, inspect, and defend.