TL;DR
- Idea: Decentralized verifiable AI compute infrastructure enabling secure onchain inference
- Catalyst: Recent Binance spot listing and top-tier funding support from institutional investors
- Risks: High technical complexity, adoption uncertainty, and potential token unlock pressure
- Score: 8.00/ 10
Coin
- Name/ Ticker: OpenGradient (OPG)
- Segment: AI infrastructure
- Status: live
- Price: $0.256400
Key Metrics
- Market Cap: $48 720 331
- FDV: $256 420 000
- Circulating Supply: 190 000 000
- Total Supply: 1 000 000 000
Sources
Technology
- USP: Cryptographically verifiable AI inference with TEE and zkML proofs
- Core Technology: Hybrid AI Compute Architecture with specialized inference and verification nodes, Trusted Execution Environments (TEE), on-chain proof settlement
Roadmap
- 2025-10-01: Mainnet v1 launch
- 2025-09-23: MemSync long-term memory product launch
- 2025-12-19: Model Hub surpasses 1000 live models
- 2026-02-23: x402 trustless inference upgrade release
- 2026-04-21: Token Generation Event (TGE)
- 2026-05-22: Binance spot listing
Team & Investors
Team
- CEO & Co-Founder β Matthew Wang: Quant Research at Two Sigma; SWE at Google, Facebook, NASA; ECE - Northwestern
- CTO & Co-Founder β Adam Balogh: Tech Lead at Palantir; SWE at Google, Amazon; CS - Imperial College
- CSO β Advait Jayant: Founder & CEO at Peri Labs; AI author; PhD - LBS
- Blockchain Engineer β Khalifa Toumi: Engineer at Zenrock, Hashgraph; CS - Γcole Nationale des Sciences de l'Informatique
- Senior Software Engineer β Aniket Dixit: Software Engineer at Umee; SDE at Ignite; CS - IIIT
- Senior Software Engineer β Kyle Qian: SWE at Google; CS - Northwestern
- Senior Fullstack Engineer β Michael Hsu: SWE at Flexport; Co-founder at Potato; CS - Northwestern
- Chief of Staff β Diane Guo: Operations Lead at ReBlink; Linguistics - Macalester
- Full-stack Developer β Swastik Shrivastava: Principal Developer at FreeCharge; Founding Engineer at Peri Labs; ML & AI - IIIT
- Marketing Lead β Joseph Christian Lacsamana: Marketing Staff at Animoca Brands; Marketing Lead at One Championship
Investors
- a16z Crypto β Seed β’ 2026-04-22
- Coinbase Ventures β Seed β’ 2026-04-22
- SV Angel β Seed β’ 2026-04-22
- Foresight Ventures β Seed β’ 2026-04-22
- Pragma β Seed β’ 2026-04-22
- SALT Fund β Seed β’ 2026-04-22
- Symbolic Capital β Seed β’ 2026-04-22
- Canonical Crypto β Seed β’ 2026-04-22
- Black Dragon β Seed β’ 2026-04-22
- NEAR β Seed β’ 2026-04-22
- Celestia β Seed β’ 2026-04-22
- Thanefield Capital β Seed β’ 2026-04-22
Total funding: $9.50M
Tokenomics
- Utility: Payment for AI model inference, proof generation and network fees
- Next Unlock: (0.00% of circulating)
Pros & Cons
Strengths
- Top-tier institutional backing including a16z Crypto and Coinbase Ventures
- Innovative decentralized AI compute infrastructure with cryptographic verifiability
- Low market capitalization with significant upside potential
- Recent Binance listing enhances liquidity and exposure
- Active open-source development on GitHub and model repository growth
Weaknesses
- High technical complexity may hinder adoption
- Competition from centralized AI and blockchain providers
- Uncertain tokenomics and vesting schedule
- Potential sell pressure after initial unlocks
- Regulatory risks around AI and crypto convergence
Price Scenarios (target: 2026-11-28)
- Bear: $0.150000 β Assumes minimal adoption and downward price adjustment of 40% from current levels
- Base: $0.300000 β Projects 20% network growth and stable token velocity leading to moderate price appreciation
- Bull: $0.600000 β Assumes rapid adoption of AI inference use-cases and doubling of network demand within six months
How to Buy & Store
CEX
- Binance
- Coinbase
- KuCoin
- Bybit
- BingX
DEX
- Uniswap V4
- Uniswap V3
- Raydium AMM
- Aerodrome Slipstream
- Fluxion Network
Storage
- Ledger
- Trezor
- MetaMask
- Trust Wallet
- WalletConnect
Verdict
OpenGradient presents a compelling long-term investment in decentralized AI infrastructure with strong technical foundations and investor support, but investors should be mindful of adoption and tokenomics risks.
Official Links
Source: Coin Research (internal)
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