OpenGradient (∇, ∇)

We are excited to announce that OpenGradient has raised $8.5M in seed funding to build a groundbreaking end-to-end decentralized platform for secure open-source AI. Big thanks to our backers @a16zcrypto CSX, @cbventures, @svangel, @balajis, @ilblackdragon, @sandeepnailwal and more! We are proud to also have the support of other visionary investors on this exciting journey including: @CanonicalCrypto, @symbolicvc, @SALTConference, @ForesightVen, @NEARProtocol, @CelestiaOrg, @blackdragon_vc, @ThanefieldRes, @PragmaVentures, @ai, @ekrahm, @Bfaviero, @RyanWatkins_, @HighCoinviction, @chainyoda, @mraltantutar, @PaulTaylorVC, @0xlukeskywalker, @no89thkey, @0xnavage. Check out our official blogpost here: opengradient.ai/blog/opengradi…

@asmaaa_099 gAI! 🤝

@OpenGradient gAi🔥

AI systems produce results, their execution isn’t part of the system state. Model inference runs externally, without verifiable guarantees of what actually executed. OpenGradient sits where execution becomes verifiable.

@Outlandish555 gAI 🤌

@OpenGradient gAI intern

@Outlandish555 Make it verifiable and open!!

@OpenGradient Verifiable AI.

@Armanibanks100 that’s the way!!

@OpenGradient Turning AI from blind trust to verifiable truth is exactly the upgrade the space needs

@buidl_conf @NEARProtocol @near_intents @near_ai Great to be part of BUIDL Asia alongside @NEARProtocol. 🫡 See you in Korea! 🤝

BUIDL Asia 2026 is thrilled to welcome back @NEARProtocol as Supernova Sponsor! As the unified commerce layer for assets and agents, NEAR has been doing solid work in @near_intents @near_ai products! Meet the team in Seoul on April 16-17! buidl.asia

@hsunami10 🫡🫡

Happy Friday!! Dev updates for Expertly: - 1st user survey launched - expertly.so/surveys/ai-exp…. Fill it out for early access benefits! - finished UI for expert studio (where you can train + publish your expert) - finished UI for chatting Next week, we're going in on testing and making sure everything works. Thanks for the support ❤️

@ekang426 @NEARWEEK @NVIDIAGTC @ilblackdragon @near_ai Near cooking 🫡

Not many gets invited to speak at @NVIDIAGTC 3 years in a row. So so proud of @ilblackdragon!🥳 Also looking forward to @near_ai happy hour today “near” the GTC venue! 👀

9/ Explore the model on the OpenGradient Model Hub: 🔗: hub.opengradient.ai/models/OpenGra… More models: 🔗: hub.opengradient.ai

8/ Dynamic fee mechanisms are particularly relevant in the context of Uniswap v4, where programmable hooks allow pools to implement custom fee logic. Models like this could enable pools to adjust trading fees in response to changing market conditions. This work builds on funded research conducted with support from the Uniswap–Arbitrum Grant Program (UAGP). 🔗: opengradient.ai/blog/dynamic-a…

OpenGradient Model Highlight: AMM Fee Optimization Model This model explores a volatility-aware approach to AMM fee design. Instead of relying on static trading fees, the mechanism adapts fee levels using short-horizon volatility forecasts. 🧵 👇🏻

@0xchlorinee @memsync_ai perfect!!

@OpenGradient @memsync_ai submitted my feedback

We’re approaching the final stages of Expertly. Designed as a combination of twin.fun and @memsync_ai, it focuses on building AI experts that are context-aware and task-specific by design. As we finalize the product, we’re gathering input to guide what should be built first. Share your feedback: expertly.so/surveys/ai-exp…