Battery Ventures Backs Aegis AI With $36M for AI-Powered Job Site Safety

Aegis AI, a startup building artificial intelligence tools for workplace safety, has raised $36 million in Series A funding. The round was led by Battery Ventures, the company announced on July 23, 2026.

Aegis AI’s platform ingests raw data from job sites and applies proprietary algorithms to detect hazards in real time. It identifies potential risks before they cause accidents, aiming to prevent injuries and keep operations running without interruption. The software also offers predictive safety analytics, workflows that integrate with existing safety protocols, and automated compliance reporting aligned with OSHA and industry standards.

The company is positioning itself as more than a passive monitoring tool; its website describes the product as an “operational edge” that turns site data into actionable decisions. Instead of simply logging incidents, Aegis AI proactively flags dangers—from equipment misuse to environmental threats—so safety officers can intervene early.

Battery Ventures’ bet on Aegis AI comes as heavy industry, construction, and manufacturing sectors increasingly adopt computer vision and AI to reduce workplace accidents. The global market for environmental, health, and safety software has drawn significant venture interest, and startups that can layer predictive analytics onto existing camera infrastructure are finding traction with employers facing rising compliance costs and labor shortages.

While the company did not detail specific plans for the fresh capital, a Series A of this size typically funds product development, sales hires, and market expansion. Aegis AI is currently inviting potential customers to join a waitlist, signaling that it may be preparing for a broader commercial launch. The investment will likely accelerate those efforts and help the company build out its engineering and go-to-market teams.

The round underscores the growing appetite for AI applications beyond office productivity and into physical work environments, where the stakes are measured in human safety. For Aegis AI, the challenge now is turning early technical promise into a platform that safety managers trust on live job sites.