OpenGradient (OPG) - Verifiable AI Compute Layer for Onchain Agents

Every AI Decision Today Is a Black Box Nobody Can Audit#

When AI agents move money, approve loans, or route trades, users have no way to independently verify what actually ran. The model version, the system prompt, the data accessed, and the output path all live behind closed APIs controlled by a handful of providers. Silent model swaps, injected instructions, filtered outputs, and rate limits can happen with zero trace. As autonomous agents move from assistive tooling to real execution on real money, this opacity stops being an inconvenience and becomes a systemic risk that blind faith cannot fix.

A Network Where Every Inference Carries Its Own Cryptographic Proof#

OpenGradient rebuilds the AI infrastructure stack around verification by default. Models run on a permissionless network of specialized GPU and TEE nodes, every inference produces an attestation or zero-knowledge proof, and those proofs settle on-chain in real time. Developers finally get web2-grade latency with trustless guarantees, so applications, blockchains, and agents can outsource heavy AI workloads and let anyone independently check exactly what model ran, on what input, and what it returned.

What is OpenGradient coin?#

What does OpenGradient do?#

🧠 Verifiable AI Inference Network: OpenGradient operates as a decentralized AI coprocessor where applications, blockchains, and autonomous agents can outsource computationally heavy AI tasks to a specialized network of GPU and TEE nodes, with every inference cryptographically verified at consensus before being committed on-chain.

⚙️ Hybrid AI Compute Architecture (HACA): The network separates execution from verification through specialized node types, so full nodes run consensus and settle proofs, inference nodes handle GPU workloads, and data nodes provide attested external data, enabling sub-second latency alongside full auditability without forcing every validator to re-run every inference.

🔒 TEE and ZKML Verification: Developers choose the proof method that matches their risk profile, with TEE attestations for low-overhead LLM inference, zero-knowledge proofs for high-stakes ML models like DeFi liquidation logic, and vanilla signatures for lightweight workloads, all natively validated by the network.

🛰️ x402 LLM Gateway: Payment-gated access to models from OpenAI, Anthropic, Google, xAI, and more flows through TEE-verified infrastructure, so every prompt and response is cryptographically signed, settled on-chain, and fully auditable for compliance, dispute resolution, and agent accountability.

📚 Decentralized Model Hub: The permissionless repository on Walrus hosts over 4,000 models and more than 4.5TB of model data, has served over 2 million verifiable inferences, and has generated more than 500,000 cryptographic proofs, turning open model hosting and monetization into a composable primitive across the ecosystem.

🧩 MemSync Memory Layer: A long-term memory infrastructure for AI applications automatically extracts, classifies, and retrieves user context across sessions, all powered by verifiable LLM inference, letting builders ship personalized assistants whose memory pipeline itself is transparent and auditable.

🤖 Ecosystem Applications: Consumer products already live on the network include BitQuant (an AI-powered quantitative trading agent), Twin.fun (an AI personality and digital-twin marketplace), and a growing catalog of agentic finance, content, and developer tools demonstrating real, live demand for verifiable AI primitives.

Who are behind OpenGradient?#

The OpenGradient team brings together engineers and researchers from Palantir, Google, Meta, Two Sigma, Amazon, and NASA, with deep credentials spanning AI research, cryptography, blockchain engineering, and large-scale distributed systems.

Matthew Wang, Co-Founder and CEO

• Former quantitative research engineer at Two Sigma, one of the most established quantitative hedge funds in the world, focused on quantitative modeling and machine learning research.
• Prior software engineering roles at Google, Meta (Facebook), and NASA before launching OpenGradient.
• Holds a Computer Engineering degree from Northwestern University.
• Drives the overall vision of merging verifiable AI with blockchain, and his quant finance background directly informs ecosystem products such as BitQuant.

Adam Balogh, Co-Founder and CTO

• Former Tech Lead for the Artificial Intelligence Platform (AIP) at Palantir Technologies, the company’s flagship enterprise AI product, with seven years of experience at the firm.
• Previously shipped infrastructure at Google and Amazon as a software engineer.
• Holds a Master’s degree in Advanced Computing from Imperial College London.
• Serves as OpenGradient’s technical architect, overseeing consensus design, the decentralized inference layer, and integrations across Base, Bittensor, and the broader AI-crypto stack.

Advait Jayant, Chief Strategy Officer

• Founder and former CEO of Peri Labs, an AI research startup that raised $1.3M in venture funding.
• Published AI author with O’Reilly Media, with 57 technical publications on machine learning and AI systems.
• Holds a PhD from London Business School.

Why This Team Inspires Confidence#

Enterprise AI Pedigree: Adam Balogh came into OpenGradient after leading Palantir’s Artificial Intelligence Platform, the software stack that ships mission-critical AI into governments and Fortune 500 enterprises, giving the project rare insight into what production-grade verifiable AI actually requires.

Quant Finance DNA: Matthew Wang spent years at Two Sigma building quantitative ML models in an environment where execution integrity is non-negotiable, and that discipline directly shapes how OpenGradient approaches proof settlement, risk-sensitive inference, and financial-grade reliability.

Deep Technical Stack: Engineers on the team have shipped infrastructure at Google, Meta, NASA, Amazon, and Palantir, covering every layer the network touches, from GPU systems and distributed consensus to LLM tooling and blockchain cryptography.

a16z Crypto Leadership: OpenGradient was selected for the a16z Crypto Startup Accelerator (CSX) program and later raised a total of 9.5 million dollars led by a16z crypto, a signal that top-tier funds with deep technical diligence see OpenGradient as the leading bet in the verifiable AI category.

Coinbase Roadmap Addition: OPG has been added to the Coinbase transparency roadmap, meaning Coinbase engineers are actively evaluating the asset ahead of a potential listing, a meaningful credibility checkpoint for any onchain AI project.

Marquee Angel Roster: Angels include Balaji Srinivasan (former Coinbase CTO), Illia Polosukhin (NEAR co-founder), Sandeep Nailwal (Polygon co-founder), Bruno Faviero (Magna), Ryan Watkins (Syncracy Capital), Daniel Cheung, and Ekram Ahmed (Celestia), aligning the project with founders who built some of crypto’s most important networks.

Strategic Ecosystem Partners: OpenGradient has shipped integrations with Virtuals, Lagrange (DeepProve zkML), LangChain, Walrus (storage), NEAR, and Celestia, embedding the network directly into the agent economy and the modular blockchain stack where verifiable AI demand is already concentrating.

What to Know Before You Buy OpenGradient#

1. Timely Positioning in the Verifiable AI Narrative

Autonomous agents are shifting from assistive tools to real execution that moves money and approves decisions, and that shift is turning verifiable AI into one of the most discussed categories in crypto. OpenGradient sits at the center of this narrative as the dedicated compute layer purpose-built for cryptographic proofs on every inference.

2. Live Network with Real Usage at TGE

The OpenGradient network is already producing blocks, has processed millions of verifiable inferences, generated hundreds of thousands of cryptographic proofs, and hosts over 4,000 models across more than 4.5TB of model data on Walrus, meaning OPG launches against infrastructure that is already battle-tested rather than promised on a whitepaper.

3. Multi-Utility Token Design

OPG powers compute and settlement for verifiable inference, rewards for model developers, staking for network security, premium access in ecosystem apps, and governance over the protocol, so token demand scales with adoption across multiple distinct user groups rather than a single use case.

4. Broad Exchange Coverage from Day One

OPG is accessible through Binance Wallet TGE via PancakeSwap, Binance Alpha, Bybit, MEXC, Gate, OKX, HTX, BitMart, LBank, and GMGN for on-chain traders, giving buyers meaningful liquidity and optionality from the earliest trading window across both CEX and on-chain venues.

5. Top-Tier Institutional and Angel Backing

Investors include a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, Symbolic Capital, SALT Fund, Canonical Crypto, NEAR, Celestia, and Thanefield Capital, with angels like Balaji Srinivasan, Illia Polosukhin, and Sandeep Nailwal, representing a capital stack most AI-crypto projects cannot assemble.

6. Partnerships Anchored in the Agent Economy

OpenGradient has launched with alignment across Virtuals (agent economy), Lagrange (zkML), LangChain (developer tooling), Walrus (storage), and Bittensor (subnet deployment), embedding OPG into the exact ecosystems where verifiable AI demand is emerging first.

How to buy OpenGradient?#

OpenGradient is listed in the Binance Alpha section, so you can purchase OPG directly on Binance using your existing account. Binance is the largest cryptocurrency exchange in the world by trading volume, offering deep liquidity, strong security, and a trusted environment for discovering early-stage projects through its curated Alpha lineup.

Buy OpenGradient on Binance

You can also buy OpenGradient on GMGN. Since OPG is a Base chain token and Base uses Ethereum for swapping, you will want to move your Ethereum from central exchanges like Binance to your GMGN Ethereum wallet and then swap for OpenGradient.

Buy OpenGradient on GMGN

GMGN is a popular on-chain trading platform known for fast token discovery, clean execution on early-stage assets, and powerful tools like copy trading, real-time smart money tracking, and sniper features that help on-chain traders act quickly on fresh opportunities across multiple chains.