Trace AI Raises $3M Seed Funding to Accelerate Enterprise AI Agent Adoption

Trace has secured $3 million in seed funding to address the critical barriers hindering AI agent adoption in enterprises.

The London-based startup, emerging from Y Combinator's 2025 summer cohort, specializes in workflow orchestration for complex corporate environments.

Solving the AI Context Challenge

Enterprises have struggled with deploying AI agents due to insufficient context from tools like email, Slack, and Airtable.

Trace builds a dynamic knowledge graph that maps these processes, allowing users to delegate high-level tasks automatically to AI agents or humans.

CEO Tim Cherkasov describes the platform as the 'manager' directing brilliant AI 'interns' from companies like OpenAI and Anthropic.

The seed round includes investments from Y Combinator, Zeno Ventures, Transpose Platform Management, Goodwater Capital, Formosa Capital, WeFunder, and angels Benjamin Bryant and Kevin Moore.

From Prompt to Context Engineering

CTO Artur Romanov emphasizes the industry's shift from prompt engineering in 2024-2025 to context engineering as the new foundation for AI infrastructure.

Historically, AI agents promised revolutionary productivity but faltered in enterprises without proper integration and context layers.

Trace's approach automates agent onboarding, potentially unlocking widespread enterprise transformation.

Facing competition from Anthropic's enterprise tools and Atlassian's Jira updates, Trace differentiates through superior orchestration.

This funding underscores investor optimism in solutions bridging AI hype to practical enterprise deployment.

Looking forward, Trace positions itself as essential infrastructure for the rise of AI-first companies.