TL;DR
- Idea: Decentralized AI inference and computation layer providing verifiable AI execution using a hybrid architecture that separates execution from verification.
- Catalyst: Binance listing with seed tag, $9.5 M funding led by a16z Crypto and top-tier investors, EU MiCAR whitepaper compliance, top-3 trending on CoinGecko.
- Risks: High competition in AI infra, adoption uncertainty, reliance on specialized hardware (TEE/GPUs), regulatory complexity, high FDV relative to circulating supply.
- Score: 8.00/ 10
Coin
- Name/ Ticker: OpenGradient (OPG)
- Segment: AI Infrastructure
- Status: Active
- Price: $0.306300
Key Metrics
- Market Cap: $58 522 649
- FDV: $308 013 941
- Circulating Supply: 190 000 000
- Total Supply: 1 000 000 000
Sources
Technology
- USP: Verifiable AI inference via Hybrid AI Compute Architecture (HACA) separating execution nodes (TEE/ZKML) from on-chain verification.
- Core Technology: TEE enclaves, ZKML proofs, CometBFT consensus, decentralized storage on Walrus, x402 payment protocol.
Roadmap
- 2024-01-01: OpenGradient Founded
- 2024-10-01: Announced $8.5M Seed Funding Round
- 2024-12-01: Launched OpenGradient Model Hub
- 2025-07-01: Introduced MemSync technology
- : Mainnet deployment (Base, Mantle, BNB)
- : On-chain ML execution via PIPE alpha
Team & Investors
Team
- CEO & Co-Founder — Matthew Wang: Quant Research at Two Sigma; SWE at Google, Facebook, NASA; ECE - Northwestern
- CTO & Co-Founder — Adam Balogh: Tech Lead, Palantir AIP; SWE at Google, Amazon; CS - Imperial College
- CSO — Advait Jayant: Founder & CEO at Peri Labs; AI Author (57 publications); PhD - LBS
- Blockchain Engineer — Khalifa Toumi: Engineer at Zenrock, Hashgraph; CS - ÉNSI
- Senior Software Engineer — Aniket Dixit: Engineer at Umee; SDE at Ignite; CS - IIIT
- Senior Software Engineer — Kyle Qian: SWE at Google; CS - Northwestern
- Senior Fullstack Engineer — Michael Hsu: SWE at Flexport; Co-Founder Potato (acquired); CS - Northwestern
- Chief of Staff — Diane Guo: Operations Lead at ReBlink; Linguistics - Macalester
- Full-stack Developer — Swastik Shrivastava: Principal Developer at FreeCharge; Founding Engineer at Peri Labs; ML & AI - IIIT
- Marketing Lead — Joseph Christian Lacsamana: Marketing Staff at ONE FIGHT ARENA
Investors
- a16z Crypto — Seed • 2026-04-14
- Coinbase Ventures — Seed • 2026-04-14
- SV Angel — Seed • 2026-04-14
- Foresight Ventures — Seed • 2026-04-14
- Pragma — Seed • 2026-04-14
- SALT — Seed • 2026-04-14
- Symbolic Capital — Seed • 2026-04-14
- Canonical Crypto — Seed • 2026-04-14
- Black Dragon — Seed • 2026-04-14
- NEAR Foundation — Seed • 2026-04-14
- Celestia — Seed • 2026-04-14
- Thanefield Capital — Seed • 2026-04-14
Total funding: $9.50M
Tokenomics
- Utility: Payment for AI inference, staking, governance, Model Hub access
- Next Unlock: (0.00% of circulating)
Pros & Cons
Strengths
- Verifiable AI inference via hybrid architecture
- Strong VC backing (a16z, Coinbase Ventures etc.)
- Experienced team from Google, Palantir, Two Sigma
- EU MiCAR compliant whitepaper
- Trending top-3 on CoinGecko
- Multi-chain support (Base, BNB, Mantle)
- Comprehensive product suite (x402, Model Hub, MemSync)
Weaknesses
- Competitive AI infrastructure landscape
- Adoption risk for new verifiable AI tech
- Reliance on specialized TEE/GPUs
- High FDV relative to circulating supply
- Regulatory compliance complexity
- Uncertain timeline for on-chain ML features
- Token utility adoption risk
Market Signals (7d)
- CEX volume trend: up
Price Scenarios (target: 2026-12-15)
- Bear: $0.150000 — Assumes 50% decline from current price due to market downturn and slow adoption
- Base: $0.350000 — Extrapolates average weekly growth over the past month to a six-month horizon
- Bull: $0.600000 — Assumes successful mainnet deployments and widespread adoption driving demand
How to Buy & Store
CEX
- Binance
- Gate
- Coinbase Exchange
- Bybit
- MEXC
DEX
- PancakeSwap
- Uniswap
- SushiSwap
- GeckoTerminal
- APEswap
Storage
- Ledger Nano S
- Trezor Model T
- MetaMask
- Trust Wallet
- WalletConnect
Verdict
OpenGradient offers a unique, verifiable infrastructure for AI inference with strong investor backing and market interest, though adoption and regulatory risks remain.
Official Links
Source: Coin Research (internal)
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