AI is rapidly becoming the backbone of digital applications, but one critical problem remains unsolved: trust.
Today’s AI systems operate as black boxes. Users cannot verify which model generated an output, whether the computation was tampered with, or what data was used behind the scenes.
OpenGradient is building the infrastructure to change that.
Rather than functioning as another blockchain, OpenGradient serves as a decentralized AI coprocessor network — a dedicated layer that enables applications, blockchains, and AI agents to execute complex AI workloads through a network of GPU and Trusted Execution Environment (TEE) nodes while generating cryptographic proof for every inference.
This transforms AI outputs from trust-based results into cryptographically verifiable intelligence.
How It Works
OpenGradient separates computation from verification.
GPU and TEE nodes execute AI models inside secure hardware enclaves, generating attestations that prove exactly what was executed. Validators then verify these attestations at consensus, ensuring every result can be trusted without requiring users to rerun the model themselves.
The result is an open infrastructure layer where AI becomes transparent, auditable, and verifiable by design.
Key Highlights
• 4,500+ AI models deployed by 100+ developers • 3.2M+ verifiable AI inferences processed • 500K+ cryptographic attestations generated • 1.85M+ on-chain transactions • 2M+ ecosystem users across 40+ countries • 263K+ unique wallets Ecosystem Products BitQuant — AI-powered quantitative trading platform with 1.8M+ users and 69M+ AI queries. Twin Fun — AI digital twin launchpad generating over $700K in trading volume. MemSync — Universal memory layer enabling persistent intelligence for AI agents. Model Hub — Open marketplace where developers can deploy, discover, and monetize verifiable AI models.