Decentralized AI Model Benchmarking Oracle

Standardized evaluation across 50+ tasks (NLP, CV, Agents) with datasets like MMLU and HumanEval. Compare open-source and proprietary models on a unified, auditable leaderboard.

A network of staked node operators runs evaluations, ensuring censorship resistance and data availability. Results are aggregated via consensus for maximum reliability.

Define and deploy bespoke benchmarking logic for your specific use case—from RAG system accuracy to agent task completion. We manage the entire attestation lifecycle.

Integrate verifiable, on-chain performance proofs for your AI models. This builds user and investor confidence, accelerating adoption by providing transparent, tamper-proof benchmarks.

Leverage our pre-built oracle infrastructure and standardized APIs to connect your protocol to a decentralized benchmarking network. Avoid months of custom development and security audits.

Access benchmark results secured by decentralized validation and cryptographic attestation. Eliminate single points of failure and manipulation risks inherent in centralized data feeds.

Gain granular, real-time data on model accuracy, latency, and resource efficiency across different hardware environments. Use these insights for continuous optimization and competitive positioning.

Build on an oracle designed for the evolving AI landscape. Our architecture supports new model types, benchmarking standards, and consensus mechanisms as the ecosystem matures.

Generate an immutable, auditable trail of model performance for compliance and due diligence. Provide stakeholders with transparent proof of your protocol's operational integrity.

We conduct a technical deep-dive to define your specific benchmarking requirements, target models, and consensus mechanisms. This phase establishes the formal specification and project roadmap.

Our engineers design the core oracle architecture, including the on-chain data registry, staking logic, and dispute resolution system. We provide comprehensive technical documentation and gas-optimized contract blueprints.

We build the secure, high-performance off-chain component that collects, validates, and aggregates benchmark results from multiple nodes before submitting the final attestation on-chain.

The complete system undergoes a rigorous security audit by a third-party firm. We then deploy to a testnet (e.g., Sepolia) for integration testing, load simulation, and final client validation.

We manage the secure mainnet deployment, including contract verification and initial node operator onboarding. Post-launch, we provide 24/7 monitoring, alerting, and performance dashboards.

We offer continuous support, protocol upgrades, and node operator management. Our team ensures your oracle remains secure, performant, and compatible with evolving AI model standards.