"OpenAI and Anthropic are building these brilliant interns that can be leveraged within the company. We're building the manager that knows where to put them. Trace's system starts by building a knowledge graph from a company's existing tools - systems like email, Slack, and Airtable that shape the day-to-day working life of the firm."
"With that context in place, users can prompt the system with a high-level task - like 'We need to design a new microsite' or 'Lets develop our 2027 sales plan' - and Trace will come back with a step-by-step workflow, delegating some tasks to AI agents and assigning others to human workers."
"The idea is to automate away the delicate work of on-boarding AI agents, one of the biggest blockers for actual deployment within companies. When the system does invoke an AI agent, it will prompt it with the specific data needed to complete its sub-task."
Trace is a workflow orchestration startup addressing the gap preventing AI agents from scaling in enterprises. The company maps complex corporate environments and processes to provide agents with necessary context. Trace builds knowledge graphs from existing company tools like email, Slack, and Airtable. Users input high-level tasks, and the system generates step-by-step workflows, delegating work to AI agents or human workers as appropriate. When invoking AI agents, Trace provides specific data needed for each sub-task. The startup raised $3 million in seed funding from Y Combinator, Zeno Ventures, and other investors. Trace positions itself as the manager directing where AI agents should be deployed within organizations.
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