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OpenGradient Raises $8.5M to Decentralize AI Infrastructure and Accelerate Secure, Open-Source AI
We are excited to announce that OpenGraident has raised $8.5M in seed funding to build a groundbreaking end-to-end decentralized platform for sovereign, secure, and open-source AI.
OpenGradient + LangChain: Unleashing Domain-Specific Models for AI Agents
OpenGradient's LangChain integration brings TEE-secured LLM inference in addition to verifiable ML inference to AI agents without context window pollution, enabling sophisticated ML operations while empowering vertical AI agent capabilities in solving domain-specific problems.
Announcing the Inaugural OpenGradient Modelthon!
OpenGradient is excited to announce our first Modelthon, co-sponsored by Allora to begin the year with a BANG!
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Introducing the OpenGradient Neuro Stack
Today, we’re thrilled to announce the Neuro Stack. After a year of building models, ML tooling, and AI infrastructure supporting tons of interesting use-cases, we’re doubling down on our mission to openly empower decentralized AI with the necessary tools and infrastructure for end-to-end verifiability, improved utility, and universal accessibility.
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AI Agent Meme Contest
As we continue enabling smarter dApps and protocols and building innovative AI agents, we're thrilled to kick off the new year with an exciting AI Agent Meme Contest! Anyone can participate.
Galxe Early Bird Campaign Announcement
We are thrilled to announce that the Open Gradient Frontier - Early Bird Quest is officially live on Galxe! We invite everyone to participate in this fun quest at no cost.
Spot Forecasting in DeFi
Spot is a term used in trading that refers to an asset as is at current market price. Spot differs from something like futures where contracts for future prices are traded, or options where the choice to buy or sell at a certain price in the future are traded. In DeFi the most immediate example of spot trading is the exchange of one token or coin for another described as a pair, for example ETH/USDT is the pair of ETH and USDT and the spot price is the exchange rate of first asset in terms of the second.
Volatility Forecasting in DeFi
Though perhaps not discussed as often as price prediction, understanding volatility of asset prices is fundamental to sophisticated DeFi and will only become more crucial as DeFi continues to mature. Models that specifically provide predictive forecasts and quantitative measures of asset volatility can be useful for mean-variance portfolio optimization, risk analysis, options and derivatives pricing, and more. In the realm of DeFi, volatility forecasts can be similarly applied to unique use-cases including AMM fee mechanisms, lending pool parameter optimization, optimized liquidity provisioning, yield farming strategies…etc.
Real Verticals of Applied AI in Web3
The emergence of Web3 signifies a transformative shift toward a decentralized internet that prioritizes user sovereignty, credible neutrality, and permissionless compute. However, decentralized blockchain applications are still primitive compared to their feature-rich TradFi and Web2 counterparts, primarily due to compute limitations as well as lack of tooling for advanced dApp development. This can be highlighted by the fact that expressive forms of compute leveraging powerful AI/ML-driven workflows are ubiquitous in traditional software applications whereas the integration of such technologies in crypto apps is a relatively underexplored design space. As the crypto ecosystem grows and evolves, integrating AI/ML is increasingly becoming more important in order for these applications to enhance features, functionality, and user experience to ultimately reach parity with Web2 applications.
OpenGradient and EigenLayer Power Secure AI Inference on Blockchain
As decentralized AI continues to gain awareness, it faces a number of critical challenges—scalability, hardware access, and verifiability—that slow its adoption and limit its potential. The lack of accessible GPU-equipped hardware, coupled with challenges in running AI models directly on-chain, has forced reliance on dominant operators, raising concerns over trust and security in high-impact applications. OpenGradient spearheads solutions to overcome these obstacles head-on, building an innovative infrastructure and leveraging EigenLayer’s restaking capabilities to create a scalable, decentralized solution for AI inference. This unique approach paves the way for secure, cost-effective AI in a decentralized ecosystem, transforming the current and future of AI/Web3 development.
Mitigating Risk and Loss in AMM Liquidity Pools: A Dynamic Fee System Based on Risk Prediction
High quality liquidity provision is an essential component to a well-functioning market. Reward for being a Liquidity Provider (LP) must be sufficient to attract holders (or potential holders) of an asset as LPs so that those demanding liquidity (Takers) are able to do so quickly and efficiently. In DeFi a common mechanism for liquidity provision is automated market making (AMM), and more specifically constant function market making (CFMM). When accessing liquidity in a CFMM pool, takers pay a fee (taker fee) for their transaction, typically a percent of the asset given by the taker. The taker fee may take many forms, most often it is a fixed percent for a pool, as found in Uniswap v3, but may also be variable.
OpenGradient Revolutionizes Blockchain AI Integration Through Strategic Partnership with Nuffle Labs
The OG team is excited to announce that OpenGradient network will be posting inference proofs and attestations to NearDA, leveraging Nuffle’s Fast Finality Layer (NFFL) to democratize trust-minimized AI inference.
Introducing the OpenGradient Model Hub
We are excited to launch the OpenGradient Model Hub, a groundbreaking decentralized platform for sharing, hosting, and managing open-source AI models.
Introducing the OpenGradient SDK
OpenGradient is excited to introduce the OpenGradient SDK (OG-SDK) & CLI to empower developers to leverage OpenGradient’s decentralized infrastructure...
OpenGradient Launches DevNet for On-Chain AI
OpenGradient is excited to announce the release of its devnet. As per our official X announcement, the network is now available for developers to build, test, and deploy AI models, workflows and applications. Check out our official technical documentation to learn more about OpenGradient and start building!
Introducing OpenGradient
Our journey began with a bold vision: to revolutionize the AI landscape by seamlessly merging blockchain technology with artificial intelligence to engineer a platform that had the best of both worlds – a system that harnesses both the security of cryptography as well as the intelligence and optimization of AI.
Critical Themes in Decentralizing AI
The intersection of artificial intelligence and blockchain technology presents a frontier ripe with innovation and challenges.