Atlas
About
Making sellers ready for the agents that are already buying
PairRail builds Atlas, seller-side infrastructure for machine customers. When software starts shopping on a company’s behalf, pricing and access cannot live only in PDFs and inbox threads.
Why we exist
Buyers are getting automated. Seller systems mostly are not.
Procurement teams, partner agents, and product copilots are starting to discover and compare offers without a human reading a price book first. That is a real shift in B2B commerce, and it rewards sellers who can answer with structured commercial truth: what you sell, at what price, under which rules, to which machines.
Most catalogs today were written for people. Agents scrape, guess list prices, and escalate exceptions. PairRail exists so sellers publish once into Atlas, approve which machines may price or quote, and keep settlement on their own billing rails as merchant of record.
How Atlas changes the day
From a messy price sheet to a governed catalog agents can trust
- Score Paste a commercial sheet. Atlas structures products, flags conflicts, and shows agent-readiness before anything is written to a workspace.
- Publish Refine and publish an isolated Sandbox catalog, then graduate to production when the offers are ready for live machine traffic.
- Govern Approve credentials for specific machines, answer on the agent surfaces you unlock, and hand settlement to your payment stack when a quote is ready to close.
Prefer to inspect the rails yourself? The Protocols lab shows live public payloads; the product walkthrough covers the operator day.
What we believe
Three lines we will not cross
- Sellers stay merchant of record Payments settle on your rails. PairRail does not hold customer funds or replace your billing stack.
- Humans own the exceptions Deterministic pricing for what you publish; people decide when an agent asks for something outside policy.
- One catalog, many surfaces Publish commercial truth once. Protocol adapters should not force a rewrite of your offers for every new agent channel.
People
Anish Posim Reddy
Founder, PairRail
Anish ships production ML platforms in the cloud with experience across India and the US. Working on AI systems that touch real customers made a gap obvious: models were getting better at asking commercial questions, while sellers still answered with documents built for human deal desks.
He started PairRail to close that gap on the seller side: governed catalogs, explicit machine access, and settlement that stays with the merchant. Over the next few years the goal is simple and ambitious: make Atlas the default control plane API-first and AI-native sellers use when machine customers show up, then deepen packaging for marketplaces, distributors, and network sellers without changing that core.
- Product
- PairRail Atlas
- Built on
- Google Cloud · Firebase · Cloud Run · Gemini
- Based in
- Hyderabad, India
- Focus
- API-first and AI-native product teams
Want to see Atlas with your own commercial sheet, or talk through a design partnership?