Atlas

PairRail

Make every offer
agent-ready.

Seller-side infrastructure that turns approved pricing into agent-ready catalogs, with exact math and humans on every exception.

See the product

Why Atlas exists

If an agent can’t verify your offer, it buys elsewhere.

Gartner research describes machine customers as AI agents and connected systems that buy on behalf of organizations, and as becoming ubiquitous in B2B purchasing. Those agents already shortlist vendors, compare offers, and request quotes. They do not browse; they query. A PDF or scraped page is a document, not a catalog an agent can call for trusted prices and terms. Atlas gives you one governed catalog on every agent protocol, with your numbers, your policies, and your say over which machines may act. Themes from Gartner research on machine customers and machine sellers in B2B buying (public summaries, 2025).

  1. 01
    Ingest & score

    Paste a price book. Atlas structures products, flags conflicts, and scores agent-readiness before anything goes live.

  2. 02
    Govern offers

    Approve commercial truth with evidence and policy. Deterministic math only. No invented totals.

  3. 03
    Project protocols

    Publish once. The same catalog fans out to UCP, MCP, A2A, UAP, and ACP without per-rail rewrites.

  4. 04
    Quote & escalate

    In-policy requests get indicative quotes. Exceptions stop at your human deal desk. Settlement stays with you.

Explore product → See protocols Score readiness

Get started

Validate in Sandbox. Go live on Pro.

Score a commercial sheet in minutes, then publish a governed catalog when you are ready for agents.

View pricing → Onboard a catalog