OpenGradient
- Company typePrivate
- Founded2024
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
OpenGradient firmographics
Firmographics- Name
- OpenGradient
- Legal name
- Vanna Laboratories, Inc.
- Website
- https://opengradient.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
OpenGradient industry classification
Industry- Product category
- Decentralized AI Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Decentralized GPU/AI Compute Networks (training/inference, GPU renting, model hosting) (FSAPALAC)
- akta.pro secondary industries
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Federated Learning & On-Device Personalization (HDAAAJAG), AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB)
Keywords
Where OpenGradient is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Markets served
OpenGradient business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Digital Twins Services: Talk to AI digital replicas of favorite influencers.
Go-to-market motion2 records
OpenGradient product offering
Product offeringCore offering
OpenGradient operates a decentralized blockchain-based network (the OpenGradient Network) for verifiable AI compute. It provides a permissionless Model Hub for hosting AI models, a Python SDK for on-chain AI inference with TEE and zkML verification modes, and consumer-facing applications such as OpenGradient Chat (a privacy-preserving AI gateway), Twin.fun (AI digital twins marketplace), BitQuant (a DeFi AI agent), and MemSync (a long-term AI memory layer).
Differentiator
Problem solved
Functional benefit
Brands
- OpenGradient Network: The decentralized network for full-stack, verifiable AI compute (EVM-compatible, EVM Chain ID 10740 on the testnet, with TEE and zkML verification modes).
- Model Hub
- OpenGradient Chat
- MemSync
- Twin.fun
- BitQuant
Products and services
- OpenGradient Network The core decentralized infrastructure that powers high-performance verifiable computing for AI, enabling AI model hosting, secure inference, and on-chain agent deployment. EVM-compatible with 4500+ models, 2M+ verifiable AI inferences, and 500K+ zkML proofs + TEE attestations.
- Model Hub A permissionless decentralized repository for AI models. Users can explore, upload, browse, and use thousands of AI models instantly available for inference on the OpenGradient network, with versioning, organizations, search, and an interactive Playground.
- On-Chain AI SDK (Python SDK) Python SDK for building verifiable on-chain AI agents, workflows, and apps. Supports LLM chat with TEE-verified execution, on-chain ONNX model inference with VANILLA/TEE/ZKML verification modes, model hub management, and digital twins chat.
- OpenGradient Chat Private chat infrastructure for AI providing anonymous access to frontier models (ChatGPT, Claude, Gemini, Grok, Nous Hermes, ByteDance Seed) via OHTTP relay and TEE-isolated gateway architecture. Includes Local Agent for code execution, image generation, and uncensored AI via open-source models.
- Digital Twins (Twin.fun) Marketplace for AI digital twins of influencers/characters, where AI agents are modeled on real individuals' personas. Uses a bonding curve contract (DigitalTwinSharesV1) with deterministic pricing for buying/selling keys that unlock gated chat and utilities.
- BitQuant OpenGradient's flagship AI agent for quantitative DeFi — a personal AI quantitative analyst providing ML-powered analytics, trading, portfolio management, and more through a natural language interface.
- MemSync Long-term memory layer for AI that aggregates a user's digital footprint to personalize AI experiences across applications. Features a Digital Footprint Database, Instant Personalization, One-Click Prompt Tuning, and end-to-end encryption with TEE processing; available via Chrome extension and WebApp.
Quantifiable outcome
- 4,500+ AI models hosted on the network
- +2 more outcomes
Companies that use OpenGradient
Customer profileNamed customers2 records
Ideal customer profiles4 records
OpenGradient technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration16 records
AI capability14 records
OpenGradient partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NVIDIA Inception ProgramcoreOpenGradient has been accepted into the NVIDIA Inception Program. This partnership likely provides access to NVIDIA's technology, tools, and global ecosystem for AI startups.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
OpenGradient competitors and assessment
Company assessmentDirect peers
- Render Network: Decentralized GPU compute network that provides on-demand rendering and AI inference capacity via token-incentivized node operators. Highly comparable to OpenGradient on the decentralized compute-for-AI primitive, though Render focuses on GPU supply without OpenGradient's zkML/TEE verifiability layer.
- Akash Network: Decentralized cloud computing marketplace (often called the 'Airbnb of compute') that lets users bid for GPU and CPU capacity on a Cosmos-based chain. Directly comparable to OpenGradient's decentralized compute marketplace, with overlapping AI inference and hosting use cases.
- Gensyn: Decentralized protocol for machine learning compute that enables anyone to train AI models across a distributed network with cryptographic verification. Most directly comparable to OpenGradient's verifiable AI compute thesis, with a similar focus on provability of model outputs.
- io.net: Decentralized GPU network that aggregates underutilized GPUs for AI/ML training and inference workloads. Comparable to OpenGradient on the decentralized GPU-for-AI primitive, with a Solana-based stack and emphasis on low-cost inference at scale.
- Ritual: Decentralized AI execution layer building an 'Infernet' for verifiable onchain AI inference, with native EVM integration. Directly comparable to OpenGradient on the verifiable onchain AI compute thesis — arguably the closest competitor in positioning.
- Modulus Labs: zkML-focused team building zero-knowledge proofs for AI model inference, with strong overlap to OpenGradient's ZKML verification mode. Comparable on the verifiable inference primitive, though Modulus is more research-leaning while OpenGradient ships a full consumer + developer stack.
- EZKL: Open-source library for generating zero-knowledge proofs of ML model computations using ONNX. EZKL is actually integrated into OpenGradient's ZKML verification mode, but is also a peer in that it enables verifiable inference directly — overlapping at the cryptographic ML layer.
Broad incumbents
- Together AI: AI compute cloud platform offering open-source and frontier model inference at scale, with an emphasis on fast, low-cost inference. Comparable to OpenGradient's Model Hub + inference offering, though centralized rather than decentralized and without the verifiability layer.
Emerging players
- Phala Network: TEE-based confidential computing network that runs AI agents and applications inside secure enclaves on a Substrate-based chain. Comparable to OpenGradient's TEE verification mode and OHTTP architecture, with overlapping confidential AI agent use cases.
- Nillion: Decentralized blind computation network using MPC and TEEs for privacy-preserving AI and data processing. Comparable to OpenGradient on the private/verifiable AI compute primitive, with a focus on multi-party computation rather than zkML proofs.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
OpenGradient social profiles
Digital presenceOpenGradient financial estimates
Financial estimateRevenue estimate
Valuation estimate
OpenGradient leadership team
Management profileNumber of profiles
OpenGradient subsidiaries and ownership
Company hierarchySubsidiaries3 records
OpenGradient funding detail
Funding detailFunding overview
Funding rounds1 record
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
OpenGradient M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about OpenGradient
What does OpenGradient do?
OpenGradient operates a decentralized blockchain-based network (the OpenGradient Network) for verifiable AI compute. It provides a permissionless Model Hub for hosting AI models, a Python SDK for on-chain AI inference with TEE and zkML verification modes, and consumer-facing applications such as OpenGradient Chat (a privacy-preserving AI gateway), Twin.fun (AI digital twins marketplace), BitQuant (a DeFi AI agent), and MemSync (a long-term AI memory layer).
Is OpenGradient a public or private company?
OpenGradient is a private company. It is classified as venture growth investor backed and is currently operating.
When was OpenGradient founded?
OpenGradient was founded in 2024. It employs 11 to 50 people.
Where is OpenGradient based?
OpenGradient is headquartered in New York, United States, in the North America region.
How does OpenGradient make money?
One revenue line is on record: digital Twins Services.
Who are OpenGradient's main competitors?
Direct peers on record are Render Network, Akash Network, Gensyn, io.net, Ritual, Modulus Labs and EZKL. Together AI is listed as a broad incumbent. Emerging players are Phala Network and Nillion.
Does OpenGradient have an API?
Yes. OpenGradient offers multiple public APIs: (1) A Python SDK (opengradient package, version 1.1.1) providing decentralized AI inference with end-to-end verification, including LLM chat/completion with TEE-verified execution and x402 payment protocol (Base OPG tokens), on-chain ONNX model inference via the Alpha client with VANILLA/TEE/ZKML verification modes (OpenGradient testnet gas tokens), Model Hub repository management (create, version, upload ML models with email/password auth), and Digital Twins chat via verifiable inference (requires twins API key). (2) A REST API for MemSync (https://api.memchat.io) for memory operations including storing memories, semantic search, and user profile retrieval using API key-based authentication via the X-API-Key header. (3) A JSON-RPC blockchain API for the OpenGradient Testnet (RPC URL: https://ogevmdevnet.opengradient.ai, Chain ID: 10740). The SDK supports async operations, streaming responses, response format enforcement (json_object/json_schema), function calling/tools, web search, and multiple x402 settlement modes (PRIVATE, BATCH_HASHED, INDIVIDUAL_FULL). Developer documentation is at docs.opengradient.ai/api_reference.
What industry is OpenGradient in?
OpenGradient's product category is Decentralized AI Infrastructure. Its primary akta.pro industry code is FSAPALAC, Decentralized GPU/AI Compute Networks (training/inference, GPU renting, model hosting), with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 518210 and its SIC code is 7371.