Trace is a London-based startup that maps an enterprise’s tools and processes—such as email, Slack, and Airtable—into a centralized knowledge graph. This graph supplies rich contextual data so that when a user gives a high-level prompt like designing a microsite, Trace automatically generates a detailed, step-by-step workflow. The platform delegates specific sub-tasks to AI agents while assigning others to human employees, effectively acting as a ‘manager’ for both digital and human workers. By automating the historically cumbersome onboarding of AI agents, Trace aims to accelerate real-world enterprise adoption of agentic AI. The company’s leadership positions its approach as “context engineering,” viewing it as the next evolution after prompt engineering. Competition includes in-house agent features from productivity suites and offerings from major AI labs such as Anthropic, but Trace’s founders believe their knowledge-graph architecture differentiates them. Financially, the company has secured $3 million in seed funding to further develop its infrastructure platform.

Total raised

$3M

Funding rounds

1

Latest round

Seed

Latest activity

Feb 2026