Project Atlas · Global invitation

Different decisions. One evidence problem.

Project Atlas is designed for organizations that act on live external data and need to keep the source, time, freshness and verification boundary inspectable.

150operating contexts
AI and agents Autonomy Mobility Public sector Climate Space Cybersecurity Financial services

One common question

Before an automated system acts, what current evidence did it rely on?

Named source Observation Evidence Caller-owned policy Advisory decision Receipt Verification Replay when available

Target lifecycle; capabilities are profile-dependent. Dynamic Feed preserves evidence and integrity state, while receipt and replay appear only when those artifacts exist. It does not replace the caller's policy, decision authority or domain safety controls.

The Project Atlas audience map

Fourteen families. One global invitation.

Search the contexts below or open a family to see where evidence infrastructure can support more inspectable automated decisions.

Loading audience map

Preparing the Project Atlas audience map.

This is an audience and research taxonomy—not a customer roster, certification claim or statement that every context has a dedicated product today. Dedicated implementations remain subject to source licensing, domain review and safety boundaries.

Understand the category

Why machine evidence matters now.

The Machine Evidence Report traces the shift from models that answer to systems that act—and the infrastructure gap that appears between an input and a consequential decision.

An open invitation

If your system acts on the world, bring its evidence with it.

Explore live observations in Project Atlas, then connect through the current MCP or REST surfaces when the evidence boundary fits your use case.