Trace
ActiveContext-aware orchestration between humans and AI.
About
Trace is a workflow orchestration platform that gives agents shared context across systems and lets teams build visual processes combining AI and humans. It automatically identifies which tasks can be AI-automated and which need human input, so non-technical teams build and run workflows without engineering involvement.
Founders · 2
Co-founder and CEO of Trace. Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.
Co-founder and CTO of Trace. Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.
Launch
Trace helps teams map existing workflows and automate repetitive tasks using AI agents
Trace launches a workflow automation platform that routes tasks to the right agent (human or AI) by integrating with Slack, Jira, and Notion. It analyzes existing workflows to identify automation opportunities, embeds AI agents to handle repetitive tasks, and provides a unified, auditable interface for routing and managing tasks.
Formerly “Trace AI”
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