Building the infrastructure layer for enterprise AI.
Context builds the platform that lets AI agents execute end-to-end enterprise workflows — connected to your systems, learning from your experts, deployed in your environment.
Our mission
Models are smart enough. The missing piece is institutional context.
AI models can solve expert-level problems. But most enterprise deployments still fail to deliver sustained productivity gains. Context provides the infrastructure that closes this gap: execution, institutional knowledge, and continuous learning from the people who know the work.
1,400+
Production engineers across 73 teams and 12 countries
$11M
Seed round — Lux Capital, General Catalyst, Qualcomm Ventures
Join the team.
Hiring across engineering, research, and go-to-market. Team from Apple, Google, Stripe, and Berkeley SAIL.