Trace Raises $3M to Orchestrate Enterprise AI Agents With Context-First Workflows

New updates have been reported about Trace.

Trace, a London-based startup in Y Combinator’s 2025 summer cohort, has raised $3 million in seed funding to build workflow orchestration infrastructure that gives AI agents the operational context they lack in most enterprises. The round includes Y Combinator, Zeno Ventures, Transpose Platform Management, Goodwater Capital, Formosa Capital, WeFunder, and angels Benjamin Bryant and Kevin Moore, positioning Trace to scale its platform globally.

Trace’s system constructs a knowledge graph from a company’s existing tools such as email, Slack, and Airtable, then uses that map of people, processes, and assets to generate stepwise workflows for high-level business tasks, delegating work between AI agents and human staff. CEO Tim Cherkasov describes the company’s role as “the manager” for enterprise AI, while CTO Artur Romanov says the market is shifting from prompt engineering to “context engineering,” arguing that whoever best controls contextual data for agents will become core infrastructure for AI-first companies, even as Trace faces competitive pressure from large model providers and incumbent productivity platforms launching their own agents.