Trace

Trace is an operational layer that models how tasks flow between departments, building a persistent understanding of operations so AI agents and human judgment can be aligned across teams. It addresses the problem of coordinating work across complex, multi-department environments where tasks, approvals, and context are spread across different tools.

The platform includes Workspaces, Workflows, Agents, Runs, and Insights modules, with a context engine that maps entities and relations across connected systems. Integrations include Slack, Notion, Jira, Google Drive, and HubSpot. Features include adaptive AI agents, human–AI orchestration, full traceability, execution governance with approval gates and confidence thresholds, and workflow health monitoring with alerts for blocked runs, SLA risks, and flagged items. Deployments are checked for quality issues before going live.

Trace is designed for teams and organizations managing cross-department operations, from early experimentation through enterprise deployment. The product is currently in beta, and the pages indicate a contact-based approach to getting started rather than a published free plan, trial, or pricing structure.