Intelligence is becoming infrastructure. We build the rails.

A century ago electricity stopped being a marvel and became a metered utility. The fights that followed — who generates, who prices, who writes the code, what gets built on top — are the fights AI is walking into now.

The signs are measurable, not vibes. Millions of AI agents already transact on public networks. Inference — serving answers, not training models — is now roughly two-thirds of all AI compute. Regulators on three continents are writing the incorporation papers of the machine economy as we speak.

Our thesis, in one line: the money in the next decade goes to whoever owns the rails — identity, receipts, and metering. Models commoditize. Rails compound. Here's how our products map:

• Rider is identity. Every agent gets a signed name strangers can check — ES256 JWT, verified locally via JWKS, no round trip. agentrider.slidphilabs.com
• Warrant is authorization. A written mandate saying what an agent may do — the permission slip the future's liability law will ask for.
• PSI is accounting. Every model call tagged with what it cost — tokens, dollars, carbon, time. You can't cut what you won't face. psi.slidphilabs.com
• ACP is settlement. Offer to invoice to receipt — the machine economy's cash register. acp.slidphilabs.com
• CuNi is verification. Same program, same output, or refuse — exactness you check instead of trust. cuni.slidphilabs.com
• PCC is margin. Hosted lossless compression that shrinks what inference must serve — every byte back, proven by decode plus SHA-256. pcc.slidphilabs.com

The pattern across all six: proof over promise. Signed credentials, filed receipts, metered spend, decoded bytes. The machine economy will run on evidence, and evidence is what we sell.

We published the full research behind this thesis — timelines, regulation maps, hardware curves, three 2036 scenarios — as a short book. Ask us for it. Then name your agent.