FRAC Seed Round: $0.25/FRAC — early allocation with vesting; no listing price or return is guaranteed — Buy Now
Fractal AI Neural Engine

AI you can prove.

FANE isn't the biggest model. It's the one you can verify, self-host, and seal with a post-quantum attestation. A whole engine in ~80 MB — no data center required.

The demo talks to the live public node at api.fractalai.net.co. It degrades gracefully if the node is busy.

Verifiable

Every answer can be sealed with a Dilithium-3 (NIST FIPS 204) signature you re-verify yourself — resistant to known classical & quantum attacks, not 'unbreakable'.

Sovereign

Phi-compressed weights run on-chain in ~80 MB RAM. No cloud API, no GPU farm — any node can reconstruct and run the model.

Learning

ATHENA turns each conversation into a training pair and persists weights on-chain. It gets sharper over time without renting datacenter GPUs.

Honest scope: FANE is a lightweight engine, not a frontier LLM. Its edge is trust and sovereignty, not parameter count. For open-domain depth it can be enriched by a larger model while keeping the on-chain, verifiable core.

Ask FANE — then notarise the answer

Ask anything about FractalAI. Then seal that exact answer with a post-quantum signature and re-verify it — the thing no chatbot can do.

Under the hood

A phi-cascade of on-chain systems, each verifiable and self-hostable.

ATHENA

Transformer core with phi-sigmoid activation. Learns from every conversation; weights persist on-chain.

PHIRAG

Blockchain-native retrieval. Knowledge scored by a golden-ratio relevance function, not a black box.

ALETHEIA

Real-time truth scoring — extracts claims and cross-references the on-chain knowledge store.

FOCI

On-chain intelligence proofs — each inference can emit a verifiable proof hash.

Phi-compression

Weights quantized with PHI=1.618 + a compile-time lookup table. The whole model fits in ~80 MB RAM.

Post-quantum

CRYSTALS-Dilithium (ML-DSA-65, NIST-standardized) signatures protect every operation today; ML-KEM (Kyber) key encapsulation is in active development in our PQC lab (not yet wired).

Bring verifiable AI into your stack

Use the engine directly, or build on the products above. Every answer can carry a proof your auditors and users can check themselves.