OpenGradient

In the fast-paced world of decentralized finance (DeFi), understanding and forecasting market volatility is critical. Our recent post by Nathan Burton highlights how integrating AI-driven models can revolutionize DeFi: ✅ Automated Market Making: Traditional static fees fail during market turbulence, exposing liquidity providers to heightened risks. Our machine-learning models adjust fees in real-time based on forecasted volatility, ensuring providers are better compensated during volatile periods with simulations showing a 15%+ increase in total fees collected. ✅ Risk Management: Adjusting exposure according to anticipated comparative volatility is essential to properly account for risk in many DeFi applications. ✅ Broader Applications: From options pricing, lending protocols, and liquidity provision to yield management and portfolio optimization, AI-driven forecasting models can outperform standard approaches, providing actionable insights over varying risk horizons. This research highlights the transformative power of AI/ML in making DeFi smarter, more resilient, and more rewarding. 👉 Read the full findings here: https://lnkd.in/e5NQi8yz #DeFi #Blockchain #Innovation #Research #OpenGradient

In the fast-paced world of decentralized finance (DeFi), understanding and forecasting market volatility is critical. Our recent post by Nathan Burton highlights how integrating AI-driven models can revolutionize DeFi: ✅ Automated Market Making: Traditional static fees fail during market turbulence, exposing liquidity providers to heightened risks. Our machine-learning models adjust fees in real-time based on forecasted volatility, ensuring providers are better compensated during volatile periods with simulations showing a 15%+ increase in total fees collected. ✅ Risk Management: Adjusting exposure according to anticipated comparative volatility is essential to properly account for risk in many DeFi applications. ✅ Broader Applications: From options pricing, lending protocols, and liquidity provision to yield management and portfolio optimization, AI-driven forecasting models can outperform standard approaches, providing actionable insights over varying risk horizons. This research highlights the transformative power of AI/ML in making DeFi smarter, more resilient, and more rewarding. 👉 Read the full findings here: https://lnkd.in/e5NQi8yz #DeFi #Blockchain #Innovation #Research #OpenGradient

Applied AI in Web3: 10 Real Verticals Web3 is transforming the internet with decentralization, user sovereignty, and permissionless compute. But for crypto apps to reach the feature-rich capabilities of Web2, integrating AI/ML is key. In our latest blog, we explore 10 impactful AI/ML verticals for Web3 that OpenGradient is building or collaborating on with early launch partners: 1. Protocol optimization 2️. Portfolio management 3️. Reputation systems 4. Business intelligence & analytics 5. AI agents 6️. Risk management 7️. Natural language interfaces 8️. Prediction markets 9️. AI-generated content 10. Smart contract security / MEV These are just the start—there’s massive untapped potential in the Web3 x AI/ML space! Read more on the article 👉 https://lnkd.in/eJxsqSkY

November Highlights at OpenGradient! November was another exciting month for us at OpenGradient, here’s what we’ve been up to: Open-source impact: We released spot-forecasting models tailored for DeFi applications, now available for the community to build on (read here: https://lnkd.in/grkxfdSg). CSX Demo Day: Our founders took the stage at the a16z crypto CSX Demo Day, showcasing how OpenGradient is reshaping on-chain AI. Web3 Evolution Summit: We hosted our first flagship event, bringing together developers from 19 countries to explore the future of Web3 and decentralized AI. New partnership: We’re excited to partner with eigenlayer to leverage restaking for cryptoeconomically secured AI inference (read here: https://lnkd.in/g9tR-ber). A huge thank you to our team, community, and partners for making this all possible!

The OpenGradient team had a blast hosting a Blockchain x AI R&D meetup in Seoul today! 🇰🇷 The turnout was great and we featured presentations from Matthew Wang and other engineers with experience at Story and NAVER Corp to discuss cutting edge developments of applied AI in Web3.

We’re thrilled to see our work highlighted by Compass Labs! OpenGradient is committed to leveraging AI/ML to drive innovation in DeFi, and working with Compass Labs’ Dojo platform has been a pleasure. From boosting LP returns by 18% to enhancing market efficiency while drastically reducing infrastructure overhead, these results reflect our vision for smarter, more efficient decentralized exchanges. Check out the full story and dive into the research paper linked below!

During the past week in Bangkok, OpenGradient led discussions on the evolving landscape of AI and decentralized technology. Some of the highlights included: Web3 Evolution Summit: OpenGradient’s flagship event (co-hosted by Pond, Lit Protocol, and Kite AI, sponsored by Protocol Labs and Nuffle Labs) attended by thought leaders, industry experts, and developers from 19 countries. OpenGradient’s CTO, Adam B., moderated an insightful panel on the potential of Restaking for AI. The session featured industry experts from Nuffle Labs, Peri Labs, and Eigen Layer, exchanging ideas on decentralized AI and the future of this technology. Open AGI Summit: OpenGradient’s CEO, Matthew Wang, joined a panel to discuss the balance between centralized and decentralized computing for AI development. The talk sparked thoughts on the infrastructure needed for a resilient, open AI ecosystem. Open Source AI Summit: Matthew Wang also debated at the Open Source AI Summit on the intriguing question, “Will humans control AI agents, or will AI agents control humans?” This discussion addressed the societal impacts and control dynamics in the age of intelligent systems.

Join us at our hosted event - Web3 Evolution Summit - during Devcon in Bangkok, Thailand! From Nov 12-15, our team will be at Devcon in Bangkok, and on Nov 14, we’re also hosting our event: Web3 Revolution Summit.  This event includes a series of presentations, panels, and talks on what shapes Web3 in the next few years as well as a developer workshop for Web3 builders. Lunch and refreshments will be provided. RSVP now: https://lnkd.in/grxbnQEK. We look forward to seeing you there! #Devcon #Blockchain #Innovation #Web3

🚅 Optimizing Dynamic AMM Fees with Machine Learning ⚡️ The OpenGradient team is excited to publish its latest research on leveraging ML models for optimizing AMM trading fees. Led by Nathan Burton, the OpenGradient research team delves into fascinating research on how risk forecasts from machine learning models can be used to dynamically adjust trading fees for traditional Automated Market Maker (AMM) protocols to ultimately improve profitability for liquidity providers (+18% in our simulations). This research explores how shifting from static, fixed fee systems to dynamic fee systems can help better align incentives of liquidity providers with market volatility and perceived market risk. By adjusting fees in real-time with ML models powered by OpenGradient’s infrastructure, AMMs could offer a smarter, more sustainable approach to decentralized finance protocols. This research piece is a step forward in demonstrating how secure AI inference can redefine DeFi’s potential through systematic optimization. We’re excited to share these insights as part of our mission to make decentralized finance more optimized and efficient. Check out the full insights below! 🔗 Read here: https://lnkd.in/gbjkyn_z 🤖 Check out the model here: https://lnkd.in/gq_7Msg6 #MachineLearning #Inference #AI #Trading #DeFi #AMM #OpenGradient #BlockchainInnovation #Fintech

📢 Big news from OpenGradient! Hot on the heels of our seed funding announcement, we’re thrilled to announce that we have released a suite of key products for early adopters of our decentralized AI platform: 1️⃣ OpenGradient Model Hub: The Model Hub is a peer-to-peer decentralized model storage and management solution. Key features include decentralized model storage, blockchain-based attribution, permissionless access, and a Web2-like UI for easy interaction. Models currently live on our hub include open-source LLMs, risk models, sybil prediction models, and more! 2️⃣ OpenGradient SDK: The SDK simplifies decentralized AI workflows, offering tools for model management and verifiable inference. Using the OG-SDK, users can easily store and manage machine learning models on our decentralized filestore and run end-to-end verifiable inference via the OpenGradient blockchain using a familiar Python developer interface. 3️⃣ DevNet: Our devnet enables secure on-chain AI deployment with support for vanilla, TEE, and zkML-secured inference. It enables developers to create decentralized AI applications powered by cryptographically secured inference, with continuous updates enhancing scalability and UX for Web3-focused applications. Step into the new era of decentralized AI with us and explore the exciting possibilities OpenGradient’s solutions offer! Checkout our blog to learn about our products: https://lnkd.in/eT7kuaMW Website: https://opengradient.ai/ Twitter: https://x.com/OpenGradient