InfiniteZero is an open, decentralized AI infrastructure and backend protocol that enables apps and autonomous agents to collaboratively train shared AI models on real-world data without it ever leaving the device. We provide the drop-in SDKs and on-chain coordination layer that turns edge devices into a collectively owned, privacy-preserving AI commons.
To build the open AI infrastructure for the agentic economy—unlocking stranded edge data and ensuring AI is a collectively owned, community-governed public good rather than a product controlled by a few frontier labs.
AI requires real-world data to improve, but most of it is stranded at the edge (phones, sensors, devices) and impossible to train on without compromising privacy. Today, accessing this data requires trusting centralized gatekeepers who hoard the value. Even existing federated learning solutions rely on a central coordinator, creating a bottleneck that keeps advanced AI in the hands of a few tech giants while starving builders of the data they need.
InfiniteZero removes the central bottleneck with a permissionless, blockchain-secured protocol. Instead of moving data to a server, our protocol keeps data local on devices and allows them to contribute encrypted, anonymized learning patterns to shared models.
Builders can plug our SDK into their apps as a backend layer to make their apps smarter, while earning a share of network fees.
Model Trainers can deploy any model (from classical ML to LLMs via FedLoRA) to learn continuously from live deployments.
Users experience zero friction; their data never leaves their device, yet they passively contribute to public AI infrastructure.
Network Fee
Want to grow through just grant funding
Global
50K USD
