Monthly Report - October 2025

TL;DR

1. Partnerships & Collaborations:
   
   

   • Ratio1’s leadership team participated in Lugano’s Plan ₿ Forum (Oct 24-25), a major blockchain event with 4,000+ attendees that showcased how decentralization is driving breakthroughs in AI. This boosted our network, visibility, and led to new strategic contacts.
     
     

   • We forged consortium partnerships to co-develop proposals for two EU Horizon Europe calls: HORIZON-CL3-2025-02-ECCC-01 (Generative AI for Cybersecurity) and HORIZON-CL3-2025-02-ECCC-02 (Operational Cybersecurity tools). These collaborations unite Ratio1 with leading European universities and established industry partners in a push to apply our decentralized AI tech to large-scale security challenges.
     
     

   • Emphasis was placed on broad alliances - partnering with top academic institutions and corporate innovators across multiple countries - truly making October "The (1st) Month of Partnerships" for Ratio1 (many more to come though).
     
     

2. Technology & Protocol Evolution:
   
   

   • Rolled out RAG-as-a-Service (Retrieval-Augmented Generation) within the Ratio1 stack. This new service (built on our J33VES framework) lets developers easily deploy LLM-powered assistants that perform grounded Q&A over private knowledge bases stored on R1FS. By enabling secure retrieval-augmented generation on our decentralized storage, Ratio1 now offers "grounded answers over large knowledge bases" as a service - enhancing AI capabilities while keeping data encrypted and self-sovereign.
     
     

   • The Deeploy orchestration engine saw improvements for smoother job management. Building on September’s v2 release (with features like on-the-fly job editing and automated escrow settlement), October brought further enhancements: more granular scheduling controls, enriched monitoring/metrics, and an even more user-friendly UI for Cloud Service Providers including CSP and Node Operator profiles and statistics! These updates simplify how CSPs launch and manage workloads, reinforcing Ratio1’s goal of web2 simplicity atop web3 infrastructure.
     
     

   • Upgrades to ChainDist (Ratio1’s distributed scheduler) added performance optimizations and broader hardware support - our blockchain-powered engine that replaces a traditional centralized scheduler. This means Ratio1 workloads can now be orchestrated across heterogeneous nodes, from data-center servers to low-power AI devices, without missing a beat.
     
     

3. Application Ecosystem Growth:
   
   

   • Partner Keysoft launched Keytrial, a cloud platform for clinical trials (CRO) management (accessible at https://keytrial.keysoftlinks.com) using Ratio1 as the backbone. Our team provided infrastructure and deployment support to bring this product live. KeyTrail facilitates the design and tracking of clinical studies, leveraging Ratio1’s secure storage and compute so that sensitive trial data remains encrypted in R1FS and computations run reliably on decentralized nodes. This launch underscores how enterprise partners can rely on Ratio1 for mission-critical healthcare applications. (Keysoft was already an early adopter - last month they used Ratio1’s J33VES to power AI assistants with encrypted data and decentralized identity. Now, with KeyTrail, they’ve extended their use of Ratio1 into healthcare solutions.)
     
     

   • We also assisted SmartClover (a Ratio1 CSP partner) in deploying CerviGuard, an AI-driven cervical cancer screening tool built on the Ratio1 framework. CerviGuard utilizes deep learning models to analyze medical images for early detection of cervical cancer, while harnessing Ratio1’s privacy-preserving features. Patient data never leaves local clinics; instead, the tool uses federated learning and homomorphic encryption so that only encrypted model updates are shared and aggregated on-chain. This approach - first demonstrated in our CerviSafe PoC - is now a real-world product, showing how Ratio1 enables secure, decentralized healthcare AI. CerviGuard’s deployment on our network highlights end-to-end support: from model training on edge nodes to on-chain result verification, all within the Ratio1 ecosystem.

     
     

4. Community & Outreach:
   
   

   • We launched the Ratio1 Talks Series - a weekly discussion format where our team explores the vision, technology, and community behind Ratio1. These open sessions aim to foster transparency, share progress directly with our ecosystem, and create a space for knowledge exchange around decentralized AI, R1 tokenomics, and real-world applications. The first episodes covered topics like network utility, protocol design, and event insights from Lugano Plan ₿ and the Clinical Research Summit.

October 2025 earned the moniker "Month of the Partnerships" for Ratio1. In addition to advancing our technology, we placed heavy focus on collaboration this month - both within the blockchain community and in formal R&D initiatives. 

Partnerships & EU Consortium Initiatives

Blockchain Community Outreach

The Ratio1 executive team’s participation in Lugano’s Plan ₿ Forum (a premier Bitcoin & decentralization conference) was a highlight of the month. The event drew a global audience of technologists, investors, and policymakers, and notably expanded its scope to decentralized AI this yeart. Our presence allowed us to showcase Ratio1 as a cutting-edge "AI OS" powered by blockchain, aligning with the forum’s theme of bridging decentralized finance and emerging technologies. Through panels and networking sessions, we connected with potential partners and evangelized the benefits of trustless AI computing. The buzz around Ratio1’s approach at Plan ₿ has already opened doors to new communities and collaborators in the crypto and AI space.

Horizon Europe Partnerships

Building on last quarter’s outreach, Ratio1 has now formed consortia with esteemed European partners to pursue funding under Horizon Europe’s Cluster-3 calls. In October we solidified partnerships for two security-focused calls: HORIZON-CL3-2025-02-ECCC-01: "Generative AI for Cybersecurity Applications" and HORIZON-CL3-2025-02-CS-ECCC-02: "New Advanced Tools and Processes for Operational Cybersecurity." These EU-backed projects (each with multi-million euro budgets) aim to develop next-generation cybersecurity solutions - a mission well-matched to Ratio1’s capabilities in secure, distributed AI. Our role in the proposals is to provide decentralized AI infrastructure: from edge compute nodes for distributed model training to encrypted storage (R1FS) for sensitive threat intelligence data, and Proof-of-AI validation to ensure trust in the computations. We have teamed up with leading academic institutions (including one of Europe’s top technical universities) and established corporations in the cybersecurity domain to strengthen these bids.

Should these proposals be approved, Ratio1 would become a core technology provider in multi-country R&D efforts, integrating our platform into real-world use cases at continental scale. Even at the proposal stage, the process has fostered deep relationships with over a dozen organizations across Europe - from AI research labs to defense tech SMEs. These partnerships reflect the growing interest in trustless AI; by collaborating with Ratio1, our partners plan to leverage decentralized compute and blockchain transparency to tackle security challenges in ways not possible with traditional cloud setups. 

In short, October’s consortium-building has positioned Ratio1 at the forefront of Europe’s push for secure and privacy-preserving AI. This not only bolsters our credibility but also aligns us with emerging EU standards and funding streams for AI innovation.

Technology & Protocol Evolution

October also saw significant progress in Ratio1’s core technology stack, with new services and updates that improve both functionality and reach of our platform.

RAG-as-a-Service Deployment

We are excited to announce the deployment of Retrieval-Augmented Generation as a Service (RAGaaS) within Ratio1. This capability is delivered through our J33VES intelligent agent framework and tightly integrated with Ratio1’s decentralized storage (R1FS). In practice, RAGaaS allows any developer or partner to easily create AI assistants that can retrieve knowledge from private data and generate context-rich answers - all within the secure, trustless confines of the Ratio1 network. For example, a support chatbot can now pull facts from an organization’s documents (stored encrypted on R1FS) and answer user queries with grounded responses, rather than relying solely on a base LLM’s training data. The entire retrieval and generation pipeline runs on Ratio1’s nodes, meaning no central server ever sees the full query or data. This built-in RAG service dramatically lowers the barrier for enterprises to deploy custom Q&A or decision-support bots that are both knowledgeable and privacy-preserving. As noted in our roadmap, RAGaaS is a key milestone that enables developers to offer their own "ask-my-data" AI services on top of Ratio1. Early internal tests show that combining J33VES with R1FS indexing yields highly relevant results without compromising data ownership - fulfilling our vision of secure LLM integration in enterprise workflows.

Deeploy Orchestration Updates

Our Deeploy engine - the web-based orchestration portal for containerized jobs - received iterative upgrades this month to enhance usability and control. Following September’s major v2 release (which introduced automated job lifecycle management, real-time job editing, and transparent burn/invoice reports), the team focused on refinements driven by user feedback. Notably, we added advanced scheduling options: CSPs can now schedule jobs to start at specific times or set up recurring deployments, improving automation for routine workloads. We also improved the monitoring and metrics dashboard within Deeploy, giving users deeper insight into their running jobs (e.g. per-node resource usage, execution logs, and live performance metrics across the decentralized cluster). These additions help CSPs fine-tune their deployments and quickly respond to any issues. On the backend, Deeploy’s job dispatcher was optimized for faster container spin-up and smarter placement decisions - leveraging ChainDist enhancements (see below) to minimize latency by selecting optimal nodes based on real-time network conditions. Together, these new capabilities make running complex workloads on Ratio1 even more seamless, approaching the convenience of traditional cloud orchestration but with the resilience and transparency of decentralization. As always, security remains paramount: the dAuth identity layer and PoAI escrow logic continue to enforce that only authorized jobs execute and that payments settle trustlessly on-chain.

Ecosystem Highlights: New Deployments on Ratio1

The Ratio1 ecosystem continues to expand, with our partners launching innovative applications on the platform this month. These real-world deployments demonstrate how Ratio1’s technology translates into value in various sectors, from enterprise software to healthcare.

KeyTrail - Clinical Trials Management Platform

This October, Keysoft (one of our flagship enterprise partners) officially launched Keytrial, a clinical trials management system built on Ratio1. KeyTrail is a web-based platform designed to streamline clinical studies - handling everything from patient enrollment and consent tracking to data collection across multiple research sites. For a solution like this, reliability, data security, and compliance are paramount. That’s why Keysoft turned to Ratio1’s infrastructure to power KeyTrail’s backend. Our team worked closely with Keysoft to deploy the KeyTrail application onto Ratio1’s decentralized network and ensure it meets the rigorous demands of clinical operations. The platform’s databases and files are stored in R1FS (Ratio1 File System), meaning patient records and trial data are encrypted and sharded across nodes rather than kept in a single server or cloud vendor. This offers strong data integrity and privacy protection out of the box. Moreover, by running the application on multiple decentralized nodes, KeyTrail achieves high uptime and resilience - a critical factor when doctors and researchers need 24/7 access to trial information. If one node goes offline, another node can seamlessly take over, avoiding downtime. Ratio1’s Deeploy orchestration also simplified the rollout: we used container templates and our escrow system to quickly spin up the various microservices that make up KeyTrail, with automatic load balancing across nodes. For Keysoft, this meant they could go live without investing in expensive new servers or cloud contracts - instead, they leverage our network of community-run nodes with transparent on-chain accounting for usage. KeyTrail’s launch is a milestone for Ratio1 as well: it showcases an enterprise healthcare application running entirely on decentralized infrastructure. This not only validates our platform’s maturity but also opens the door for further adoption in regulated industries. (It’s worth noting that Keysoft’s journey with Ratio1 started earlier - last month they deployed AI assistants using our J33VES framework. With KeyTrail, they have expanded into healthcare SaaS, underscoring the versatility of Ratio1 for different use cases.) We anticipate that the success of KeyTrail will attract other software providers in biotech and pharma to consider Ratio1 for their needs, especially where data security and cross-organization collaboration are key concerns.

CerviGuard - AI-Powered Cancer Screening

Another exciting addition to the ecosystem is CerviGuard.link, a cervical cancer screening tool developed by SmartClover, one of our Cloud Service Provider partners. CerviGuard aims to assist medical professionals by using deep learning to analyze cervical scan images (such as Pap smear slides) and identify early signs of abnormality. What makes CerviGuard special is its deployment model: it is built on top of the Ratio1 framework to prioritize patient privacy and distributed processing. Rather than sending sensitive medical images to a central cloud, CerviGuard utilizes Ratio1’s decentralized compute to bring the AI to the data source. Here’s how it works in practice: clinics run Ratio1 nodes (managed by SmartClover as the CSP) on-site or in-country, and these nodes handle the image processing and model inference locally. The federated learning approach means that the AI model is trained collaboratively across multiple clinics’ nodes without aggregating raw patient data in one place. Each node trains on its own subset of encrypted images and periodically shares encrypted model updates (not the images themselves) to a global model via the Ratio1 network. Using our EDIL (Encrypted Decentralized Inference and Learning) framework, the system can combine these updates into a refined global model, and send that model back to each clinic’s node. The result is a highly accurate screening AI that learns from a wide population while respecting privacy - individual data never leaves the hospital premises unencrypted. Additionally, all training and inference transactions are immutably logged on-chain (via Proof-of-AI), providing an audit trail for regulatory compliance.

In October, SmartClover, with our support, deployed CerviGuard to an initial set of healthcare providers as a pilot. The deployment leveraged Ratio1’s ChainDist scheduler to distribute model training tasks across participating nodes and used R1FS for storing encrypted parameters and results. Early feedback is extremely positive: clinics appreciate that they retain ownership of data and can run AI analyses without relying on an internet connection to a distant server. For patients, this means AI-assisted screening can be done in local clinics with state-of-the-art accuracy, all while their data stays protected. From Ratio1’s perspective, CerviGuard is a powerful validation of our platform in the digital health arena. It extends the concept proven by our CerviSafe proof-of-concept - that Ratio1 can enable privacy-preserving health diagnostics at scale. As CerviGuard moves from TRL6 pilot to production, it could serve as a blueprint for other healthcare solutions (e.g. in radiology or pathology) to be built on Ratio1. 

We are proud to support SmartClover in this initiative and view it as perfectly aligned with our mission to use decentralized AI for social good.

Community & Knowledge Sharing

In October, we also kicked off the Ratio1 Talks Series, a new internal-external communication initiative that brings our team’s insights directly to the community. Each episode features Ratio1 contributors discussing our technology stack, real-world use cases, and the broader context of decentralized AI. Topics this month ranged from the origin of the Ratio1 Protocol and the R1 token, to partner integrations and event experiences like Lugano Plan ₿ and the Clinical Research Summit. The Talks Series not only documents our progress in real time but also fosters open dialogue, helping partners and users better understand how Ratio1 connects blockchain, AI, and real-world applications.

Outlook

With October’s achievements, Ratio1 is entering the final stretch of 2025 on a strong footing. Our aggressive focus on partnerships is already bearing fruit: the connections made at Lugano’s Plan ₿ Forum and the Horizon Europe consortia are expected to formalize into concrete projects and collaborations in the coming months. Success in the EU calls, in particular, could see Ratio1 playing a central role in continent-wide cybersecurity innovation - an outcome that would significantly expand our user base and credibility. On the technology front, the deployment of RAG-as-a-Service and the enhancements to Deeploy/ChainDist enrich our platform’s feature set, making it more attractive and accessible to both developers and enterprise customers. We will continue to iterate on these capabilities to maintain our competitive edge.

In summary, October 2025 was a pivotal month defined by partnership and progress. By coupling technical breakthroughs with strategic alliances, Ratio1 is steadily transforming from a promising platform into a vibrant ecosystem. We thank all our collaborators, node operators, and community members for being part of this journey. The foundation laid this month positions us to close the year with strong results and step confidently into 2026 as a frontrunner in decentralized AI computing. 

Onward Ratio1!