DCSDCS Labs·AGI
Frontier AI research · verifiable infrastructure

Verifiable, sovereign frontier AI.

DCS is building the substrate for frontier AI you can prove — every action cryptographically attestable, every model sovereign and safety-gated. This is a research program backed by built, verified infrastructure, not a roadmap.

The thesis

Capability is commoditizing. Trust is not.

As frontier models converge, the durable moat is not raw capability — it is whether an AI system's actions can be verified, whether it can be owned and run sovereignly, and whether it stays safe under adversarial load. DCS builds for all three.

01

GPU-at-cost

A compute substrate that serves inference and training at marginal cost, not rent — the economic floor under everything above it.

02

Verification · R-Series

Cryptographic provenance for every AI action. Receipts you can verify in a browser, on-chain, and against a published standard.

03

Adaptive learning

A curation-and-trust substrate that lets vertical models improve from real, attested signal rather than scraped noise.

04

Sovereignty

Deploy the whole stack in your own environment — air-gapped if needed — with federation across sovereign nodes.

What is actually built

Evidence, not adjectives.

Every claim on this site maps to something testable — a CI suite, an on-chain contract, an ISO pack, a live verifier, or shipping revenue.

P0–P6
substrate layers built & verified, live-dark
90/90
refusal / safety evaluation
~600+
tests across engineering lanes
6
live products (one billing revenue)
Verifiable substrate: R+2 / R+3 provenance live · R+4 zero-knowledge prototype · post-quantum signatures (ML-DSA-65, FIPS 204) at 31/31 CI · npm packages · a smart contract on Base mainnet · an in-browser verifier. See verifiable AI →

Read the research, or talk to us.

The substrate, the verification standard, and the staged plan to scale it.