DeepSite - 🧬 RemixRun deterministic AI inference and generate cryptographic proof artifacts for every result. Verify model outputs, audit AI decisions, and establish trust in machine-generated content.
Current AI systems lack the infrastructure needed for verifiable, auditable outputs in high-stakes environments.
Most AI systems return text without evidence showing how the result was produced.
Developers cannot easily prove which model version generated an output.
Governments, enterprises, and regulated industries increasingly require auditability and reproducibility.
ProofLens provides the cryptographic infrastructure needed to verify AI outputs at scale.
Model, Weights, Prompt
Deterministic execution trace, Reproducible inference result, Cryptographic proof artifact, Verifiable output certificate
ProofLens integrates directly with your existing AI stack while adding verifiability.
Run ONNX-compatible models inside a deterministic runtime.
Capture a complete inference execution trace.
Generate proof artifacts that cryptographically bind inputs, weights, and outputs.
Anyone can independently verify the result.
All the features needed for mission-critical AI deployments.
Reproducible model execution with identical inputs always producing identical outputs.
Portable verification files that can be independently checked by any party.
Works with existing model ecosystems without requiring retraining.
Designed for regulated environments with complete audit trails.
Track model lineage and version history with cryptographic binding.
Verify outputs across organizations with different trust requirements.
The internet gained trust through TLS.
Software gained trust through reproducible builds.
Blockchains gained trust through cryptographic consensus.
AI will gain trust through verifiable inference.
ProofLens is building the infrastructure layer that makes AI outputs independently verifiable.
Our phased approach to building the trust layer for AI.
Reproducible execution environment for AI models.
Cryptographic proofs binding inputs to outputs.
Zero-knowledge proofs for private verification.
Hardware optimized for verifiable inference.
Decentralized networks of verifiable AI.
Industries where verifiable AI outputs are mission-critical.
Verify autonomous system decisions and ensure compliance with rules of engagement.
Prove diagnostic AI outputs meet regulatory requirements for patient safety.
Audit AI-driven trading decisions and ensure compliance with financial regulations.
Provide evidence for AI-generated legal documents and contract analysis.
Ensure transparency and accountability in AI-powered public services.
Provide verifiable decision logs for self-driving cars, drones, and robotics.
Generate AI outputs with cryptographic proof and independent verification.