Ratio1

Ratio1 Q1 2026 Quarterly Review is live. This quarter, the story was traction on multiple fronts: a larger network footprint, continued edge-node progress, Deeploy expansion, better operator tooling, and more visible research-to-commercial momentum. Read the full article 👇

Honored to be recognized among the Top 100 startups at Paris Blockchain Week - Start in Block! At Ratio1.ai, we’re building the AI operating system for a decentralized world - the Airbnb of idle compute for AI. Our network transforms distributed compute into a trustless cloud for AI, where developers can deploy AI agents, models, and microservices across a peer-to-peer infrastructure powered by blockchain. No centralized data centers. No single point of control. Just open, scalable, on-chain AI infrastructure. Proud to be building alongside other teams pushing the frontier of AI x Web3.

The Decentralized Resilience - Rethinking Cloud Security Cloud computing gave us scalability, speed, and global infrastructure. But it also concentrated trust, control, and risk. Our latest article explores a different question: 👉 What if security didn’t depend primarily on configuring everything perfectly - but on designing systems where entire classes of failures are structurally harder to create? Rather than claiming decentralized systems are inherently “better,” the piece examines the real dilemmas in today’s cloud model: • IAM misconfigurations that cause the majority of breaches • Public exposure from small firewall mistakes • Implicit trust inside virtual networks enabling lateral movement • Secret sprawl across pipelines, storage, and configs • Patch lag across sprawling infrastructure • Centralized orchestration planes with massive blast radius • Vendor lock-in and data sovereignty challenges The article then looks at how Ratio1 approaches these problems differently - using cryptographic identity, decentralized orchestration, automated permission models, and trust-minimized architecture. The goal isn’t to replace the cloud overnight. The goal is to rethink how digital infrastructure can be built to improve resilience, transparency, and user control by design. If you work in cloud architecture, DevSecOps, distributed systems, or infrastructure strategy, this is meant to spark discussion. Full article below 👇

Announcing EdgeGuard EdgeGuard is an explainable, edge-native threat intelligence project under active development. It is being developed in partnership with Institute of Information and Communication Technologies (IICT) - Bulgarian Academy of Sciences and Ratio1, bringing together applied scientific research and real-world cybersecurity operations. EdgeGuard aims to turn raw security alerts into clear, evidence-based incident narratives - directly at the edge. Read more 👇

Token emissions shouldn’t run on a clock - they should run on reality. We’re introducing adoption-aware mining: founder & MND emissions scale with real usage, node adoption, and PoAI demand. Sustainable tokenomics, grounded in real adoption. Read more 👇

New research by Cooper et al. just dropped (ArXiv 2601.02671) Production LLMs memorize and extract copyrighted books at staggering rates. Authors, publishers, artists- your work is being extracted at scale, regardless of vendor safeguards. 2026) demonstrated that even with safeguards, production LLMs leak copyrighted training data - extraction rates hit >95% for Claude, >75% for Gemini. If you're eager to market yourself then being injected in LLM training data is a plus however, if you're deploying AI-augmented apps for: > Financial services > Healthcare > Legal/IP-sensitive work > Customer data processing ...you need visibility & control. Our take: This isn't a model safety problem. It's an architecture problem. You can't really fix that with guardrails, you can only patch the symptoms... That's why we're proposing encrypted inference on distributed edges, zero centralized data store, blockchain-backed auditability, decentralized orchestration, no (single) centralized point(s) of failure, zero censorship, true data ownership. Trustless yet permissioned. Own your AI. Own your data. Own the architecture. Full article below 👇

Ratio1 2025 Annual Report is live. In our first mainnet year, we launched a decentralized AI cloud, onboarded 100+ edge nodes globally, enabled real-world enterprise deployments, and proved a utility-first token model. From mainnet genesis to production workloads - 2025 set the foundation for what’s next. Read the full report 👇

December was the month of quiet momentum. Deep partnership talks, rising RedMesh demand, and the launch of a first community-built app marked Ratio1’s shift into its product era. January brings the announcements. 2026 gets louder. Read more 👇

Cybersecurity can’t be point-in-time anymore. Ratio1 RedMesh framework replaces annual pentests with continuous, decentralized assurance - cryptographically provable and regulator-ready for NIS 2, CRA, and DORA. From compliance to resilience. Built on Ratio1. Read more 👇

November 2025 marked a turning point for Ratio1: the moment decentralized AI infrastructure moved from concept to real-world use. Enterprise and healthcare applications went live, partners began building sustainable businesses on the network, and our “Business of Businesses” model started operating in practice - not theory. A shared AI economy is taking shape, and this is only the beginning. Article below 👇