Entangl reads a data center's design and engineering data to generate and review operating procedures, then watches operations in real time to detect issues and triage alarms. Engineers work in silos, so design errors surface too late. Shapol founded a reusable rocket program in England that grew from six people to a hundred and flew four missions. He wanted software that caught design faults before manufacturing, hated everything on the market, and built his own. Entangl (YC S24) is based in San Francisco. The company says the platform saves each engineer around two months a year by removing the grind of prolonged design reviews.
Shapol M. is the co-founder and CEO of Entangl, which uses AI to prevent downtime and operational mistakes in data centers. Before Entangl he led a reusable rocket program with his co-founder and oversaw four launch missions.
It generates and reviews operating procedures from a data center's own design and engineering data, and monitors operations in real time to detect issues, triage alarms and help the team respond.
Design errors caught too late. Teams grind for weeks preparing cross-team design reviews and costly errors still reach manufacturing or operation, because engineers work in silos and cannot see how one decision moves the rest of the system.
The company says roughly two months of work per engineer per year, by removing the preparation cycle around prolonged design reviews.
From building rockets. Shapol and Antanas Zilinskas ran a reusable rocket program, hated the engineering design software they had to use, and built their own.
San Francisco. It went through Y Combinator's S24 batch.
