DeepProve generates a cryptographic proof for every AI inference, so the math behind a model can be verified by anyone, without exposing the model or the data. Today, every line of it is yours.
DeepProve| Model | Timestamp | Layers | Verify |
|---|---|---|---|
| Llama-3 70B | 30-09:189 | 80 | ✓ verified |
| Gemma-3 27B | 30-09:188 | 62 | ✓ verified |
| GPT-2 | 30-09:187 | 12 | ✓ verified |
| Llama-3 8B | 30-09:186 | 32 | ✓ verified |
200+ crypto and enterprise partners across the Lagrange ecosystem
DeepProve runs the model, commits to every intermediate state, and produces a succinct cryptographic proof. Anyone can verify the output came from the right model, on the right inputs, without seeing either.
Bring any ONNX, safetensors, or GGUF model. GPT-2, Gemma-3, or your own. Layer-by-layer support out of the box.
DeepProve runs the model and commits to every intermediate state. Embeddings, attention, logits.
60× faster than the current baseline, with 671× faster verification. DeepProve preserves model accuracy unlike competitors.
Anyone can verify the output came from the right model on the right inputs, without seeing either.
We're opening it now because the moment is here. The vibe-code trust gap, the AI incident curve, the hallucination panic, and the EU AI Act high-risk deadline all land in 2026.
of all new code is AI-generated. Verification hasn't kept up.
GitHub State of AI Code 2026year-over-year jump in AI incidents. 362 recorded in 2025 alone.
Stanford 2026 AI Indexof executives won't scale AI without proof their models behaved as expected.
McKinsey / Trustible 2026EU AI Act high-risk obligations go live. Tamper-resistant logs and operational evidence, not declarations.
Regulation (EU) 2024/1689DeepProve is the verifiability primitive. Drop it into any vertical that already has a regulator, an adversary, or both.
Cryptographic receipts for every model decision in the field, verifiable post-mission, without exposing the model.
Tamper-resistant proof that the diagnosis came from the cleared model on the cleared inputs.
Loan, fraud, and surveillance models that produce regulator-grade evidence on every output.
On-chain agents whose every inference is verifiable before any action settles.
They use a product backed by DeepProve.
There is a proof that the inferences done are correct with every AI output.
They no longer need to verify that AI is correct, it already has been verified by DeepProve.
Powered by DeepProve, the Turing Roulette tournament challenged 144,309 people to decipher whether they were talking to a human or an AI, proving over 3.7M AI inferences.
Learn more ⟶“We didn’t build DeepProve to own verifiable AI.
We built it so nobody had to.”
