Building Decentralized AI Infrastructure for Public Goods and Sustainable Communities 🌍

InfiniteZero Foundation is a non-profit organization dedicated to creating privacy-preserving, decentralized AI infrastructure and public goods networks. Our mission is to empower individuals and communities to participate in and contribute to inclusive AI-driven economies, advancing trustless, decentralized technologies for the benefit of society and the planet.

We develop and maintain the InfiniteZero Network — an ownerless, validator-secured AI protocol that moves compute and data to the edge, ensuring that control stays with the users rather than centralized authorities. This is an open-source AI commons and digital public goods infrastructure designed to enable applications and their users to leverage decentralized AI models to improve services, enhance insights, and create better overall user experiences.

Easy Integration: Add powerful AI capabilities to your applications without building expensive infrastructure or compromising user privacy.

• Open-Source AI Commons: Access publicly available models trained by a global community. You only pay network fees when model trainers use your ecosystem.
• Proprietary Enterprise Models: Build and customize AI models tailored to your business needs. Users earn USDC rewards for contributing valuable data.

• Monetize AI Model Development: Earn revenue via network fees collected when model trainers use your ecosystem.
• Collaborate Globally: Contribute to a growing open-source AI ecosystem while leveraging insights from your app ecosystem securely and privately.
• Sustainable Growth: Revenue potential increases as more applications join the InfiniteZero Network.

• ✅ No massive data centers or storage costs
• ✅ No expensive GPU farms required
• ✅ Privacy-preserved through encrypted pattern sharing
• ✅ Decentralized compute across user devices
• ✅ Scalable, modular architecture for any sector

The InfiniteZero Network empowers you to contribute to AI training through everyday app use, helping improve AI models without compromising your privacy.

• Complete Privacy: AI training happens on YOUR local compute, so your sensitive data stays private.
• Better Services: Enjoy enhanced features in your favorite apps, such as personalized recommendations and smarter suggestions — all without privacy trade-offs.
• Earn from Proprietary Models: When you contribute to proprietary enterprise AI models, you receive USDC stablecoin rewards. Training open-source models incurs only a small network fee.

1. Data Stays Local: AI models are trained on your local compute, keeping your data secure.
2. Encrypted Updates Only: Only encrypted patterns are shared to improve AI models, ensuring privacy.
3. Better App Features: Your data helps improve AI-driven services, enhancing your experience in the apps you use every day.
4. Earn for Proprietary Models: Earn USDC rewards when you contribute to proprietary models.

1. Leverage Your Data Ecosystem: Develop open-source AI models using data generated by your users, which will continuously improve your app's functionality and user experience.
2. Privacy-Preserving AI: Train AI models securely, preserving user data privacy.
3. Improve App Features: Continuously enhance your app with user-contributed data to build better, more personalized AI features.
4. Seamless Integration: Add AI capabilities to your app easily using the InfiniteZero SDK.

Open-platform fitness wearable ecosystems (e.g., ReflexDAO) can use the InfiniteZero Network to train open-source AI models directly on-local compute using user-consented biometric signals such as sleep patterns, movement, heart rate variability, and recovery metrics — without raw data ever leaving the device.

The network aggregates encrypted model updates to improve shared, open-source AI models that deliver actionable, educational insights for daily health optimization, recovery, and long-term wellness. Training these open models is funded solely through an ETH-denominated network fee, a portion of which is routed directly to the application owner, incentivizing open experimentation and increasing the overall utility of the ecosystem.

For proprietary or premium models, users can explicitly opt in to have their data used to fine-tune specific models under clearly defined terms. In these cases, data owners are compensated in USDT stablecoins for contributing to model training, while applications continue to benefit from network participation and fee sharing. This approach preserves privacy and user control while enabling high-quality, model-specific improvements on top of the shared infrastructure.

InfiniteZero uses lightweight, edge-optimized models, enabling training and inference on basic CPUs — including older laptops, mid-range smartphones, and Raspberry Pi–class devices. No large-scale GPU infrastructure or high-performance centralized hardware required.

The InfiniteZero Network runs seamlessly in the background, enabling applications and their users to participate in the decentralized training of AI models. Built with Ethereum ecosystems in mind but chain-agnostic, InfiniteZero utilizes Proof of Stake to ensure trust, transparency, and resilience. This architecture promotes privacy, removes single points of failure, and supports a distributed AI infrastructure across various sectors like agriculture, healthcare, finance, smart cities, and education.

• Local Compute: AI models are trained on user devices (e.g., local compute), minimizing latency and reducing reliance on centralized infrastructure.
• Privacy by Design: Data stays on-device, with only encrypted patterns shared, ensuring user privacy.
• Scalable AI Training: Leverages lightweight AI models and local compute, making AI training scalable and privacy-preserving.
• Sovereign Applications: Build secure, decentralized AI-powered applications while benefiting from the data ecosystem to enhance utility.

✅ Data stays local: Only encrypted updates are shared
✅ Local compute: AI is trained using user devices (e.g., laptops, desktops), removing the need for centralized infrastructure
✅ Leverage Data Ecosystems: Develop open-source models that improve app functionality based on the data generated by users
✅ Open-Source & Accessible: Access better, continuously improving AI models, democratizing AI innovation for all

❌ Centralized data centers with massive storage costs
❌ Expensive GPU farms for training
❌ Privacy risks from data aggregation
❌ Limited to companies who can afford infrastructure

The InfiniteZero Network decentralizes three core societal domains to create a 0-to-1 inclusive AI economy:

• Money: Open-source AI commons training incurs only low-cost network fees.
• Information: Data stays at the edge, ensuring privacy-preserving, encrypted AI updates.
• Compute Power: AI training runs locally on user local compute, reducing reliance on centralized infrastructure.

This approach ensures that AI training happens naturally during daily activities, maintaining privacy, compliance, and scalability without bottlenecks.

The InfiniteZero Network is secured through Proof of Stake, with validators staking a utility-focused native token to maintain network integrity. Economic activity benefits both users and developers:

• Applications' Users: Contribute to AI training while keeping data local; earn rewards for proprietary model contributions.
• Application Developers: Build open applications without needing to integrate AI or blockchain directly. They monetize via network fees charged to AI developers using InfiniteZero Network’s infrastructure.

• Recently, Edge City 002 Developer Grant – $40,000 total via SHIFT Grants, supported directly by Vitalik Buterin & Co.:** https://www.edgecity.live/
• Cosmos Institute Award – $5,000 for early development (Texas & Oxford), supported and advocated by philanthropist Brendan McCord: https://x.com/cosmos_inst, https://x.com/mbrendan1
• Featured by the Decentralized Research Center (DRC), an organization recently funded by the Ethereum Foundation: https://www.linkedin.com/posts/thedrcenter_techquitable-activity-7296138354109173760-II_B?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEJITk4BLNlO2TV6q0bjB1f0Dyh9GBoPtPg
• Selected for the Summit on Responsible Decentralized Intelligence (RDI Berkeley); highlighted by Oxford University Computer Science: https://www.linkedin.com/posts/compscioxford_compscioxford-oxfordai-activity-7229806029096538113-Xxu8?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEJITk4BLNlO2TV6q0bjB1f0Dyh9GBoPtPg
• Academic Recognition – Early paper marked with distinction by an MIT supervisor turned Oxford professor. Founded within the University of Oxford Computer Science Department, Division of Human-Centered Computing, led by Sir Nigel Shadbolt (Ethical AI) and Emeritus Faculty Sir Tim Berners-Lee (Inventor of the World Wide Web). The division specializes in decentralized web-of-data architectures: https://www.cs.ox.ac.uk/research/HCC/people.html

The InfiniteZero Foundation sustains the InfiniteZero Network as an ownerless, validator-secured network. There is no central authority; the ecosystem is resilient, self-sustaining, and governed collectively by the community, ensuring long-term stability and fairness.

• Community Governed: Contributors collectively govern the protocol and its evolution.
• Open Protocol: The AI you help train belongs to the commons. Anyone can build on the network, integrate the models, and benefit.

Full vision and technical details

We’re creating a future where AI benefits everyone. Whether you’re a developer, user, or community leader, there’s a place for you in the InfiniteZero Network.

Get involved:

• Developers: Documentation • API Reference
• Users: Download Apps • How It Works
• Validators: Learn More
• Contact: abrahamnash@protonmail.com

Build AI that respects privacy. Create value for your users. Join InfiniteZero Network.

© 2025 InfiniteZero Foundation 🌱
Decentralizing AI, enabling public goods, and fostering trustless innovation.