OpenGradient

Last Call to Compete in the OpenGradient + Allora Modelthon! Think you can build the best ML forecasting model for BTC, ETH, or something unique? Now’s your chance! $50K Prize Pool Registration Deadline: Feb 13 Submission Deadline: Feb 18 Compete in: - BTC Forecasting - ETH Forecasting - Freestyle – Design a unique and impactful model! Don’t miss out—check out the Modelthon Information Page for all the details and sign up now! https://lnkd.in/g59uZBdC

Create a BTC or ETH forecasting model (or a Freestyle model of your choice) to compete at the OpenGradient Modelthon, co-sponsored by Allora Labs with a prize pool of $50,000! This is your opportunity to apply financial modeling and data science expertise to solve real challenges like market forecasting, risk assessment, fraud detection, etc., and be recognized for your contribution. 📅 Register: https://lnkd.in/d5HE2qta 🛠️ Submit by Feb 4, 00:00 UTC 📝 Check instructions: https://lnkd.in/g3G4qRMK Start building! #datascience #quantfinance #markets #assetmanagement #defi #crypto #trading

We're excited to announce the first OpenGradient Modelthon with co-sponsor Allora Labs! 💡 Submit ML forecasting models to win prizes, earn recognition, and showcase your skills.  📅 Register now: https://lnkd.in/d5HE2qta 📝 Check out details: https://lnkd.in/dr6YnNV8

We are excited to partner with EZKL to integrate their ZKML (Zero-Knowledge Machine Learning) library into our stack for trust-minimized AI inference, enhancing AI applications' privacy, security, and data integrity. This means that AI model inference on OpenGradient can be cryptographically verified using SNARKs (Succinct Non-Interactive Argument of Knowledge) without exposing sensitive information. Our partnership is designed to scale secure AI solutions for high-stakes use cases, creating a future where advanced AI operates in a secure and verifiable fashion.

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!