London-based Trace raised $3 million in seed funding to tackle what CEO Tim Cherkasov calls the enterprise AI agent adoption crisis, where brilliant AI capabilities meet corporate complexity and consistently fail to scale.

The fundamental bottleneck isn’t agent capability—it’s context. While OpenAI and Anthropic have built “brilliant interns,” most enterprises struggle to provide these agents with the organizational knowledge they need to operate effectively beyond proof-of-concept demonstrations.

The Enterprise Context Gap

Enterprise AI agent deployment faces a systematic failure rate exceeding 95%, according to industry estimates. The core issue isn’t technical sophistication but rather the delicate work of on-boarding agents into complex corporate environments where critical context spans email, Slack, Airtable, and dozens of other interconnected systems.