Trace is a workflow orchestration platform that builds knowledge graphs from a company’s existing tools — such as Slack, Jira, and email — to give AI agents the context needed to operate effectively in complex enterprise environments. It’s aimed at mid-market and enterprise organizations seeking to scale agent deployments beyond narrow, single-tool use cases. Its differentiation is the emphasis on contextual grounding: rather than building agents that operate in isolation, Trace focuses on connecting them to the institutional knowledge spread across an organization’s software stack. The company is part of the Y Combinator Summer 2025 batch.
Trace
Knowledge graphs that give AI agents enterprise context.
Compliance
GDPR SOC 2
Key Features
- Knowledge graph construction — Automatically builds a connected map of company information drawn from tools like Slack, Jira, and email.
- Contextual agent grounding — Gives AI agents access to organizational context rather than operating with isolated, tool-specific data.
- Workflow orchestration — Coordinates multi-step processes across connected systems.
- Enterprise integration — Designed to work within complex, multi-tool enterprise environments.
Use Cases
- For enterprise operations teams — A company connects its internal tools so AI agents can answer questions or automate tasks using up-to-date organizational knowledge.
- For fast-growing startups — A scaling company uses Trace to keep AI agents informed as internal tooling and team structure expand.
Pricing MODELS
Saas subscription
Pricing Summary
Custom SaaS subscription pricing; no published self-serve rates.
Company Size Fit
Enterprise Mid-market
Technical Snapshot
API Available
Yes
LLM Provider
Multi-model
Open Source
No
Deployment Options
Cloud Saas
Notable Customers
YC S2025 batch clients (undisclosed)