Monthly Report - November 2025

November 2025 stands as a watershed moment in the trajectory of Ratio1.ai, marking the decisive shift from a theoretical protocol to a tangible industrial economy. If October was defined as the "Month of Partnerships," November has earned the distinction of being the month of Industrialization. This period has seen the crystallization of the "Business of Businesses" model, a strategic paradigm that fundamentally redefines the relationship between infrastructure provision, application development, and value accrual in the age of artificial intelligence.

As we prepare to close the year, the groundwork laid in November - ranging from the granular optimization of our edge software to the high-level orchestration of hackathons at major technical universities - suggests that Ratio1 is no longer merely a "project." It has evolved into a functioning, circular economy where independent actors are empowered to build sustainable businesses atop a shared, neutral infrastructure. This report offers an exhaustive analysis of these developments, dissecting the economic theory, technical breakthroughs, and strategic alliances that drove our growth in November 2025.

TL;DR

1. Business & Partnerships:
   
   
   

   • "Business of Businesses" Model - This month Ratio1 spotlighted its unique business-of-businesses approach. Unlike traditional clouds where only providers profit, Ratio1’s decentralized platform shares success across all participants. When an app built on Ratio1 thrives, node operators and the community benefit too - aligning incentives so everyone wins together.
     
     
     

   • New EU Consortium Partnerships - We forged two major consortium partnerships for upcoming EU Horizon Europe cybersecurity projects. Under call HORIZON-CL3-2025-02-CS-ECCC-03, we joined PROTEUS-X ("PROactive Threat Evaluation Through Evolutionary generativE SecUrity - eXponential intelligence"), targeting generative AI-driven threat evaluation. Under HORIZON-CL3-2025-02-CS-ECCC-01, we partnered on NEPTUNE ("Next-gEneration Privacy enhancing Technologies for UNified and sEcure data sharing"), focusing on privacy-preserving data sharing. These alliances unite Ratio1 with leading European universities and companies to apply our decentralized AI tech to large-scale security challenges.
     
     
     

   • Broad Alliances & Ecosystem - Building on October’s "Month of Partnerships," we continued expanding our network across academia and industry. By collaborating in over a dozen countries, Ratio1 is embedding trustless AI into diverse sectors, from healthcare to defense. To support this growth, we initiated an ecosystem partner database to catalog all collaborators and streamline coordination as our partnerships multiply.
     
     
     

2. Technology & Platform Evolution:
   
   
   

   • RedMesh Upgrade - We rolled out a major update to RedMesh, our decentralized penetration-testing framework. The November release focused on enterprise usability: a smoother end-to-end UX for running security scans, plus support for private forks of the open-source code. Organizations can now deploy their own isolated RedMesh instances for internal use, while benefiting from its trustless, continuous pentesting capabilities. RedMesh already offers decentralized, blockchain-verified security testing unmatched by traditional platforms - these new features make it even more customizable and user-friendly for cybersecurity teams.
     
     
     

   • SDK Expansion - To empower third-party developers, we released a TypeScript SDK for Ratio1. Now JavaScript/Node.js teams can natively interface with Ratio1’s services (the CStore state store and R1FS file system) without leaving their comfort zone. The SDK (@ratio1/edge-sdk-ts and companion @ratio1/cstore-auth-ts) provides a type-safe, plug-and-play toolkit to build on our network in days instead of weeks. This dramatically lowers the barrier for web developers and unlocks new partner integrations - from custom dashboards to client portals - using familiar tech stacks to tap into Ratio1’s decentralized backend.
     
     
     

   • CSP Profiles & Node Management - We introduced dedicated profile dashboards for Cloud Service Providers (CSPs) and Node Operators in the Ratio1 portal. These give our infrastructure partners clear insight into their nodes’ performance, workloads, and rewards, all through an intuitive web interface. By adding rich statistics and management tools, we’re delivering Web2-level ease of use on our Web3 network - simplifying how CSPs launch and monitor jobs and reinforcing our commitment to a seamless user experience.
     
     
     

   • Infrastructure Progress - Several core R&D efforts neared fruition. We made important strides in adding ARM64 edge node support (e.g. enabling Ratio1 on NVIDIA Jetson devices) - a key step toward running on heterogeneous hardware. Likewise, our AI-for-Everyone toolkit (the mobile-friendly Creation Toolkit and LabelCraft) moved into final testing. Though these deliverables were slightly delayed into next month, the groundwork laid in November ensures a robust launch of both features in the very near future.
     
     
     

3. Application Ecosystem Growth:
   
   
   

   • KeyTrial (by Keysoft) - Enterprise adoption of Ratio1 accelerated with the launch of KeyTrial, a clinical trials management platform, now live on our network. Keysoft’s cloud solution for designing and tracking clinical studies uses Ratio1 as the secure backend. Sensitive trial data stays encrypted in R1FS and computations run on decentralized nodes, ensuring patient privacy and high availability for this mission-critical app. KeyTrial’s successful go-live demonstrates how an early adopter partner can leverage Ratio1 for real-world healthcare operations - validating that even regulated industries can trust our decentralized infrastructure for their most critical workloads.
     
     
     

   • CerviGuard (by SmartClover) - We assisted partner SmartClover in deploying CerviGuard, an AI-driven cervical cancer screening tool built on Ratio1. CerviGuard analyzes medical images with deep learning to detect early signs of cervical cancer, while leveraging Ratio1’s privacy-preserving features end-to-end. Notably, patient data never leaves the local clinic; the system uses federated learning and homomorphic encryption so that only encrypted model updates are shared and aggregated on-chain. This approach (pioneered in our earlier CerviSafe PoC) is now a real-world product, with Ratio1 enabling secure decentralized model training on clinic edge nodes and on-chain verification of results. CerviGuard’s deployment showcases how our ecosystem supports advanced healthcare AI solutions that protect data sovereignty by design.
     
     
     

   • ASPIRE - In addition to these a new Ratio1-powered application code-named ASPIRE also in the area of predictive healthcare analytics has been launched in production. While details are under wraps, this upcoming solution will similarly capitalize on Ratio1’s secure compute and storage infrastructure for healthcare and research innovation. The development of ASPIRE highlights the growing breadth of applications being built on Ratio1 - from clinical trial management to cancer screening and beyond - as partners explore novel use cases on our platform.
     
     
     

4. Community & Outreach:
   
   
   

   • AI Expo Europe 2025 - Ratio1 took the stage at one of Europe’s premier AI conferences. At AI Expo Europe 2025 in Bucharest, our founder Andrei Ionuț Damian was a panelist in three high-profile discussions covering AI-driven deepfakes, building everyday AI trust, and converging AI with blockchain. Through these panels, we showcased Ratio1’s approach as a key solution to pressing AI challenges - from verifying what’s real in a sea of deepfakes to using trustless infrastructure for accountable AI. For example, we highlighted how every piece of data or content on Ratio1 is fingerprinted and logged on an immutable ledger, so authenticity can be proven even as generative fakes proliferate. Our presence at AI Expo not only boosted visibility but positioned Ratio1 as a thought leader in the AI+Blockchain space, reinforcing trust in our vision among an audience of industry and academic leaders.
     
     
     

   • Academic Engagement & Hackathons - We ramped up plans to nurture the next generation of Ratio1 builders. In collaboration with the University Politehnica of Bucharest, we began organizing a series of hackathons for 2026. These hackathons - to be co-hosted with faculty and student groups - will give developers hands-on experience with Ratio1’s tech and spark innovative projects on our platform. This initiative aligns with our broader outreach goals (as outlined last quarter) to educate and onboard more developers and researchers into the ecosystem. By partnering with academia, we aim to cultivate a pipeline of talent familiar with decentralized AI, further seeding our community with fresh ideas and energy.
     
     
     

   • Ecosystem Growth & Support - As our community of partners and users expands, we introduced new measures to support and organize it. One such step is the creation of an ecosystem partner database - an internal knowledge base listing all our partnerships, integrations, and collaborations. This living database will help the Ratio1 team (and eventually the community) keep track of who’s building what with our tech, facilitate networking among partners, and ensure we provide timely support and co-marketing. It’s a behind-the-scenes effort now, but an important foundation as we scale a vibrant, interconnected ecosystem around the Ratio1 platform.
     
     
     

Business Model Spotlight & Partnerships

Our strategic positioning within the European Union has been fortified through our participation in high-profile Horizon Europe consortiums - specifically PROTEUS-X and NEPTUNE. These initiatives not only validate our technological stack against the rigorous standards of EU research and innovation but also firmly embed Ratio1 within the continent's emerging strategy for technological sovereignty and digital privacy.

Sharing Success - Ratio1 as a "Business of Businesses." Early in the month, we published a detailed look at what it means that Ratio1 is a "business of businesses." In essence, our platform is designed so that when any application on it succeeds, everyone involved shares in the upside. Unlike a traditional cloud where only the provider profits, Ratio1’s decentralized infrastructure rewards all contributors proportionally. Independent node operators provide computing power and storage to the network and earn R1 tokens for doing real work - and when an app uses those resources, 85% of the payment goes directly to these operators (with the remaining 15% of tokens burned to bolster the ecosystem’s value). This creates a virtuous cycle: as an application grows and consumes more resources, it inherently increases the scarcity and value of the token that all participants hold. In short, "when your app wins, everyone wins" on Ratio1. We believe this model - which stands in stark contrast to the one-sided rewards of hyperscale cloud vendors - will foster a more collaborative and fair cloud economy. It’s a message that resonated strongly through our community channels in November, and it underpins how we approach partnerships and growth.

Horizon Europe Consortiums - PROTEUS-X & NEPTUNE. Building on October’s momentum, we expanded our formal collaborations in EU R&D initiatives. This month Ratio1 signed on to two major consortium partnerships aimed at Horizon Europe Cluster-3 (security) calls. The first is codenamed PROTEUS-X, under the call HORIZON-CL3-2025-02-CS-ECCC-03 (which focuses on "Generative AI for cybersecurity"). PROTEUS-X stands for "PROactive Threat Evaluation Through Evolutionary generativE SecUrity - eXponential intelligence," and as the name suggests, it targets next-generation cybersecurity solutions using generative AI for proactive threat assessment. The second project, NEPTUNE, falls under HORIZON-CL3-2025-02-CS-ECCC-01 (a call geared toward advanced cybersecurity and privacy technologies). NEPTUNE - short for "Next-gEneration Privacy Enhancing Technologies for UNified and sEcure data sharing" - will develop new frameworks for secure data sharing across organizations, leveraging cutting-edge privacy-preserving techniques. For both proposals, Ratio1 is a core technology provider. We will deliver the decentralized AI infrastructure that powers these projects: from fleets of edge compute nodes for distributed model training, to encrypted storage (R1FS) for sensitive threat intelligence and data, to our Proof-of-AI mechanism for verifying computations and model integrity on-chain. In PROTEUS-X, for example, Ratio1’s network could be used to train and deploy generative models that simulate cyber-attacks and defenses across many nodes - with each node’s contributions verified on the blockchain for tamper-proof accountability. In NEPTUNE, our platform’s built-in privacy features (like homomorphic encryption and decentralized identity auth) can enable unified data analytics without centralizing the data, aligning perfectly with the project’s goals of secure data sharing. We have teamed up with top European partners on these bids, including renowned technical universities and established cybersecurity companies in multiple EU countries. If these proposals are approved, Ratio1 will find itself at the heart of multi-million euro, multi-country initiatives - a testament to the growing trust in our approach. Even at this proposal stage, the process has forged deeper relationships with dozens of organizations across Europe. It’s clear that interest in trustless AI infrastructure is on the rise: by collaborating with Ratio1, our partners aim to tackle security challenges in ways that traditional centralized clouds cannot. These consortiums also broaden our network of expertise; by working alongside academic researchers and industry specialists, we ensure that Ratio1’s roadmap aligns with real-world needs in cybersecurity and privacy. We’ll know the outcome of these Horizon Europe submissions in 2026, but regardless, the experience and connections gained are already accelerating our mission.

Growing Our Partner Network. Beyond formal R&D projects, November saw Ratio1 continue to engage new partners and strengthen ties with existing ones. Our leadership held follow-up meetings with several international groups (spanning over 15 countries) that we first connected with in prior months. The focus is on integrating Ratio1’s technology into large-scale pilots in healthcare and cybersecurity - for instance, expanding the CerviGuard concept into broader telemedicine networks, or applying RedMesh for continuous cybersecurity monitoring in critical infrastructure. Each new partnership discussion reinforces that our value proposition - decentralized, privacy-preserving AI - fills a critical gap for organizations that need secure, collaborative computing environments.

To keep up with this expanding ecosystem, we have begun developing an Ecosystem Partner Database. This internal tool is essentially a living map of all organizations and projects in the Ratio1 orbit. It tracks who our partners are, what use cases they’re pursuing, which Ratio1 features they utilize, and key points of contact. As we onboard more collaborators, this database will help us spot synergies (e.g. connecting a healthcare partner with a university research team working on a similar issue) and ensure we provide proper support to each initiative. In time, we envision parts of this knowledge base becoming outward-facing - showcasing the vibrant community building on Ratio1, and serving as a directory where partners might even find each other for cross-collaboration. For now, it’s an invaluable compass for our team to navigate the "business of businesses" we’re fostering. With a solid foundation of partnerships and a clear philosophy of shared success, Ratio1 is steadily growing from a platform into an ecosystem.

Technology & Protocol Evolution

The activities of the past thirty days have been characterized by a rigorous focus on the operational mechanics that enable this new economic model. We have moved beyond the abstract promise of decentralized computing to the delivery of the concrete tooling required to facilitate it. This is evidenced by the release of the comprehensive Ratio1 TypeScript SDK, the maturation of the RedMesh cybersecurity architecture, and the deployment of pilot applications that solve genuine, high-stakes problems in healthcare and life sciences.

RedMesh: Toward Enterprise-Grade Pentesting

We achieved an important milestone for RedMesh in November, making it more accessible and adaptable for enterprise users. Recall that RedMesh was first unveiled as a v1 product in September - a decentralized, distributed penetration testing framework that runs continuous security scans across Ratio1 edge nodes. By leveraging our blockchain-based scheduler and storage, RedMesh allows multiple nodes to concurrently probe systems for vulnerabilities, aggregate the results, and store findings on-chain for tamper-proof auditability. Its open-source nature invites community contributions and transparency, and its decentralized execution means no single point of failure (or trust) compared to conventional pentest platforms.

This month’s RedMesh update focused on the user experience and deployment flexibility. Firstly, we implemented a streamlined end-to-end UX for launching and managing RedMesh jobs via a web interface. Security engineers can more easily configure scan parameters, dispatch tests to the network, and visualize results, all without needing to fiddle with low-level commands. This polished UI lowers the barrier for adoption - one doesn’t have to be a blockchain expert to use RedMesh for routine security auditing anymore. Secondly, we added support for private RedMesh instances (forks). Organizations can now take the RedMesh open-source codebase and run a private fork that connects only to their own nodes or dedicated network. In practice, this means an enterprise or a consortium could deploy RedMesh in an isolated setting (say, within their country or industry group) to test internal applications, while still benefiting from Ratio1’s core engines under the hood. They get the best of both worlds: their own pentesting network, but powered by our decentralized technology.

Enabling private forks was a response to feedback from some early adopters who loved RedMesh’s concept but needed to control where data flows. With this capability, a cybersecurity team can, for example, spin up RedMesh on a set of approved nodes (perhaps all on-premise or in-country) and not share the findings to the global chain, yet still leverage Ratio1’s validation and orchestration framework. We anticipate this will drive more experimentation and adoption in regulated environments. Importantly, any improvements made in private forks can be contributed back to the main open-source project, so the whole community benefits. RedMesh’s plugin system (which already includes OWASP-based vulnerability scanners and more) remains intact, and we expect to see new plugins contributed as usage grows. With enterprise-friendly features and a smoother UI, RedMesh is positioned to be a flagship example of what decentralized cybersecurity can achieve.

Developer Experience: New TypeScript SDK and Tools

Another highlight of November was broadening Ratio1’s appeal to mainstream developers through enhancements in our SDK (Software Development Kit) offerings. We’ve always been developer-centric - providing SDKs in Python and Go, a CLI, and even a no-code web console - but we recognize that the more languages and frameworks we support, the larger the community that can build on Ratio1. This month we unveiled the Ratio1 SDK for TypeScript, a move that opens the door to tens of millions of JavaScript/TypeScript developers worldwide.

The TypeScript SDK comes in two parts: @ratio1/edge-sdk-ts and @ratio1/cstore-auth-ts. Together, these packages let developers do everything from a Node.js server (or even in a browser) that they could previously do only with lower-level API calls or Python scripts. For instance, using edge-sdk-ts, a dev can easily connect to a Ratio1 edge node, read from or write to CStore (our key-value store akin to a decentralized Redis), and upload or fetch files from R1FS (our IPFS-based file storage), all with simple function calls. Under the hood, the SDK handles the REST calls and authentication for you. Meanwhile, cstore-auth-ts provides a pre-built user authentication layer on top of CStore - so you can manage users, passwords, and sessions entirely on the decentralized store with just a few lines of code, no external database needed.

Why is this a big deal? Because many modern web apps run on Node.js backends and web frontends - and now those apps can directly integrate with Ratio1. A partner developing, say, a web dashboard for IoT devices can use our TS SDK to have the dashboard talk to Ratio1’s backend (storing device data in CStore, retrieving files from R1FS, etc.) without needing to write a custom integration layer. It’s as straightforward as using AWS SDK, but in our case the resources are decentralized. We’ve ensured the SDK is robust and developer-friendly: it’s fully typed (leveraging TypeScript’s type safety), works in both Node and browser contexts, and aligns with standard web dev patterns (for example, reading config from environment variables so it can plug into existing devops flows).

The release was met with excitement in our developer community. Early adopters highlighted how quickly they could get a proof-of-concept running - in some cases, hours instead of days. And beyond speed, the TS SDK is about unlocking new possibilities. CSPs and integration partners can now build value-added services on Ratio1 more easily. For example, one could create a billing portal that pulls usage stats from CStore and R1FS for each tenant, or an observability tool that reads logs from a node - all using the SDK’s convenient methods. We’re already seeing interest from community developers to create frontend applications (like React or Next.js apps) that interact with Ratio1 in real-time through this SDK. This is exactly the kind of ecosystem development we want to foster. By lowering the entry barrier, we empower a broader community to expand the Ratio1 universe with their own apps and integrations. And of course, this is not the end: we plan to continue updating our SDKs (a version 4.0 is on the way with more features) and adding support for more languages so that any developer can pick up Ratio1 and build something awesome.

Cloud Service Provider (CSP) Profiles and Enhanced UX

On the platform side, we delivered a set of features in November aimed at improving the experience for our Cloud Service Providers (CSPs) and node operators - the backbone of the Ratio1 network. Operating a decentralized node cluster comes with new challenges, so we’re continuously working to make our tooling as friendly and familiar as possible. This month, we introduced CSP & Node Operator Profiles in the Ratio1 dashboard, along with rich metrics and controls to give operators better visibility into their contributions.

Now, when a CSP (for example, a company running several Ratio1 edge nodes) logs into our web portal, they have a dedicated profile page. This page displays key information at a glance: how many jobs their nodes have executed, total compute time provided, R1 token earnings and burns, success rates of jobs, network reputation score, and more. It’s essentially an analytics dashboard for one’s participation in the Ratio1 network. Likewise, individual node operators (miners) can see stats for their specific node or rig - including hardware utilization, uptime, and rewards earned. We also added features to make managing jobs easier: from the profile, a CSP can quickly navigate to the Deeploy orchestration panel, adjust their node availability schedule, or update their node software, all with a few clicks.

These improvements stem from our guiding principle: Web2 simplicity on a Web3 infrastructure. We want running a decentralized AI node to be as straightforward as managing a VM in a cloud console. The addition of profiles with human-readable metrics is a big step in that direction. It not only helps existing CSPs optimize their operations (by seeing, for instance, which jobs burn the most tokens or which time of day their nodes are most in demand), but it also signals to prospective partners that Ratio1 is open for business in a transparent way. In fact, as we onboard new CSPs, these profile pages serve almost as a "trust dashboard" - showcasing how active and reliable a given provider is. Over time, one could imagine even public CSP profiles, where users choosing a provider for specialized workloads might compare stats. For now, it’s an internal tool, but an impactful one: early users have reported that having these insights easily available makes them more confident in scaling up their involvement.

In tandem with profiles, we’ve improved the overall UI consistency and documentation around node and job management. Error messages are clearer, on-screen guidance is provided for new users (like how to top-up escrow or interpret a burn report), and the Deeploy job editor gained some quality-of-life tweaks based on feedback. All these changes ultimately reinforce trust and ease-of-use. As mentioned in the TL;DR, our aim is to reinforce Ratio1’s goal of Web2 simplicity atop Web3 infrastructure, and November’s UX enhancements were right on target.

Progress on ARM64 Support & AI4Everyone Toolkit

Our engineering R&D didn’t slow down either - we made quiet but critical progress on a couple of long-term initiatives, namely ARM64 node support and the AI-for-Everyone (AI4E) toolkit. These weren’t fully completed in November, but they advanced to the final stages, positioning us for big launches in the near future.

First, arm64 R1EN support: Ratio1 was initially built and optimized for x86 architecture (typical PC and server CPUs), but part of our vision is to be hardware-agnostic and run on all sorts of devices, including ARM-based systems. ARM chips power everything from smartphones to Raspberry Pi micro-computers to many IoT and edge devices - even some servers (like Ampere’s cloud ARM CPUs) and AI accelerator boards (NVIDIA Jetson series) use ARM64 architecture. In November, our dev team continued the heavy lift of porting the Ratio1 runtime to ARM64. Specifically, we focused on making our core components (ChainDist scheduler, R1FS, CStore, Deeploy agent, etc.) compile and run smoothly on NVIDIA Jetson devices, which are popular for edge AI deployments. This involved dealing with differences in how certain libraries and drivers behave on ARM, and ensuring our Docker container system is multi-arch.

By month’s end, we had internal test nodes running Ratio1 on Jetson Xavier boards and even a Raspberry Pi 4. The results are promising: jobs can be scheduled to ARM nodes, they participate in consensus and storage, and Proof-of-AI verification works across architectures. We did encounter a few performance gotchas (some cryptographic operations are slower on ARM, for example) and are addressing those with optimized libraries. While we originally hoped to announce full ARM64 support in November, we’ve decided to do a broader release (with support for not just Jetson but also Pi and even Apple M1/M2 via Mac GPUs) together once everything is thoroughly tested. The target is now early 2026 for a public release supporting heterogeneous node networks. When that lands, Ratio1 will truly span "cloud to edge" - running on anything from a data center GPU server to a tiny edge device. This capability will be especially important for projects like CerviGuard (imagine clinics running Ratio1 nodes on small ARM devices on-premise) and certain IoT use cases.

Second, the AI-for-Everyone Toolkit (AI4E): This is our suite of tools aimed at democratizing AI creation - including the Creation Toolkit (a no-code mobile app builder for AI workflows) and LabelCraft (a gamified crowdsourced data labeling platform). In September, we rolled out a v0.5 beta of LabelCraft and teased the upcoming toolkit, and in October/November the team has been polishing these for a 1.0 release. We’re happy to report that we made major progress: the Creation Toolkit and LabelCraft have both been running in closed testing with much improved stability and user experience. Creation Toolkit now guides a user through building a simple AI app (like an image classifier or chatbot) with an interactive wizard on their smartphone - and behind the scenes it sets up the training job on Ratio1, using templates and federated learning if multiple users collaborate. LabelCraft has new consensus mechanisms to improve annotation quality and a reward system to incentivize contributors (with R1 tokens or points). All of this remained on track, but given the scope, we’ve set the official launch for December. According to our roadmap, the stable v1.0 of the AI4E toolkit is slated for release by the end of 2025, and we’re on target to hit that. We’re really excited about this because it opens Ratio1 to non-developers - entrepreneurs, students, domain experts who have ideas but not coding skills. A bit of patience now will ensure that when we do roll it out, it’s truly ready for "everyone."

In summary, November’s tech updates might not have had splashy announcements for these two items, but the work done was foundational. Bringing up ARM64 support and finalizing AI4E will significantly broaden our reach (in terms of devices and users, respectively). These efforts illustrate Ratio1’s long game: sometimes the most important improvements are under the hood, slowly turning ambitious concepts into concrete capabilities. Stay tuned, because the payoff from these will become very visible soon.

Ecosystem Highlights: Partner Applications

One of the best indicators of a platform’s health is the success of applications built on it. In November, Ratio1’s ecosystem saw exciting activity on this front - with our partners launching and developing several impactful applications that run on Ratio1’s decentralized infrastructure. These apps showcase the versatility of our platform, covering domains from clinical research to medical diagnostics, and demonstrate how our business-of-business model delivers value in real-world scenarios.

KeyTrial by Keysoft - Decentralized Clinical Trial Management

KeyTrial is a flagship example of an enterprise solution powered by Ratio1. Developed by our partner Keysoft, KeyTrial is a cloud-based platform for managing clinical trials (the complex studies that test new medical treatments). In October, KeyTrial officially launched on the Ratio1 network, and November saw it entering use by pilot customers. This application underscores how Ratio1 can meet the stringent needs of healthcare and pharma for data security, compliance, and reliability.

What does KeyTrial do? In a nutshell, it helps research organizations design studies, enroll patients, collect data from various sites, and monitor trial progress - all through a web interface. Under the hood, every form entry, medical record, or analysis in KeyTrial is being handled by Ratio1’s decentralized backend. Patient data and trial results are stored on R1FS (Ratio1 File System) in encrypted form, rather than on a single company’s servers. When analysts run queries or AI models to look for patterns in the trial data, those computations execute on Ratio1 edge nodes spread across multiple providers, rather than a central cloud, and results are aggregated back securely. Because of this architecture, KeyTrial can ensure that sensitive data never leaks and that there’s no single point of failure that could bring a study to a halt.

Our team worked closely with Keysoft to get KeyTrial production-ready. We helped with infrastructure and deployment, essentially acting as the "cloud team" but for a cloud that’s decentralized. One notable achievement is that KeyTrial is fully compliant with data protection standards - since data remains encrypted and partitioned, it can satisfy requirements like GDPR in Europe or HIPAA in the US for patient data handling. Keysoft’s choice to use Ratio1 was motivated by exactly what our business model promises: if their app succeeds, they benefit not only from app revenue but also from the efficiency, security, and community trust of the underlying network. In fact, Keysoft was already an early adopter; earlier this year they used Ratio1’s J33VES framework to power internal AI assistants on encrypted data. With KeyTrial, they have extended their use of Ratio1 into a new domain (clinical trials), proving that the platform is flexible enough to support entirely different use-cases within the same enterprise.

From a usage standpoint, KeyTrial is one of the most demanding applications on our network right now. Clinical trials can generate large volumes of data (imaging, lab results, patient surveys, etc.), and analyses often need to be run across these data sets to identify trends or anomalies. The fact that KeyTrial runs these on Ratio1 means our network is handling workloads that traditionally might go to specialized cloud HPC setups. And it’s handling them well. Early feedback from Keysoft and their end-users has been positive - they’re able to achieve the performance they need, and they gain the bonus of trustworthiness (since all actions are logged on an immutable ledger, trial auditors can verify the integrity of data and analysis). This is a great validation of Ratio1 as invisible infrastructure; end-users of KeyTrial might not know or care that Ratio1 is underneath, but they benefit from the security and robustness it provides.

Moving forward, Keysoft plans to onboard more clinical research organizations onto KeyTrial. As they scale, Ratio1 will scale alongside them. It’s a symbiotic relationship: more usage of KeyTrial drives more jobs on Ratio1, burning R1 tokens (which benefits the ecosystem), while Ratio1’s global network ensures KeyTrial can expand without hitting a capacity ceiling. We’re proud to support KeyTrial - it’s literally helping to manage experiments that advance medical science, and doing so in a way that keeps data private and safe. This is exactly the kind of high-impact, real-world application we envisioned Ratio1 would power.

Healthcare AI Apps - CerviGuard & ASPIRE

Our partner SmartClover, a healthcare AI services company, has been busy building innovative healthcare applications on Ratio1. Two notable projects from SmartClover and another yet to be disclosed partner in our ecosystem are CerviGuard and ASPIRE. These represent cutting-edge use cases in preventive medicine and healthcare analytics, and they leverage Ratio1’s strengths in privacy and distributed computing.

CerviGuard is an AI-powered cervical cancer screening solution. It uses computer vision and machine learning to analyze cervical cell images (like pap smear slides) to help detect early signs of cancer or pre-cancer. What’s groundbreaking is how it’s deployed: instead of sending sensitive medical images to a central cloud or lab, CerviGuard brings the AI model to the edge, i.e., to the clinics where the data is generated. Each clinic runs the model locally on patient images, aided by Ratio1’s infrastructure to coordinate learning and updates. Specifically, CerviGuard implements a form of federated learning on Ratio1: the model learns from data at each clinic without raw data ever leaving that clinic’s device. Only encrypted model updates (improvements to the AI’s parameters) are sent over the network. Ratio1’s decentralized storage and blockchain then aggregate these updates from multiple clinics and integrate them into a global model, which gets sent back to all the participating clinics. Throughout this cycle, all data in transit remains encrypted and no central party ever sees a patient’s plaintext medical data. The use of homomorphic encryption and on-chain coordination ensures that even the intermediate updates are protected and that there’s a verifiable log of how the model was trained.

We assisted SmartClover in deploying CerviGuard on the Ratio1 network in a pilot program. This involved configuring a set of Ratio1 edge nodes (some operated by SmartClover as CSPs) to serve as the training hosts. The early results are very encouraging. In trials, CerviGuard has been able to identify abnormal cells with accuracy comparable to human experts, but with far greater speed and consistency - and it does so without the images ever leaving the hospital’s control. This addresses two huge challenges in screening: the shortage of trained diagnosticians in some regions, and the privacy/legal barriers to sharing medical data. Ratio1 effectively provides the secure glue that connects numerous local AI instances into one collective learning process, all while maintaining an ironclad privacy boundary. As noted in our October report, this approach was first demonstrated in our CerviSafe proof-of-concept earlier in the year, and now CerviGuard is turning it into a deployed product. It exemplifies how Ratio1 enables "AI on your data, on your terms" - which for healthcare is a game changer.

In summary, the progress with KeyTrial, CerviGuard, and ASPIRE in November paints a picture of a maturing ecosystem. Real organizations are launching real products on Ratio1, serving end-users and solving real problems - from accelerating clinical trials to improving cancer screening workflows. Each of these deployments adds to our credibility and provides valuable feedback to improve the platform. Moreover, they illustrate different patterns of use: KeyTrial shows how a SaaS-like enterprise app can run on Ratio1 for enhanced security, CerviGuard shows how edge devices and federated learning shine in our model, and ASPIRE will likely showcase data-driven analytics in a decentralized fashion. It’s genuinely exciting to see this variety. We’ll continue to support these partners closely, and we’re actively working to bring more such applications into the fold (some are already in the pipeline for other industries). The takeaway for this month is clear: Ratio1 is not just theoretical - it’s powering applications that matter, right now.

Community & Outreach

Alongside tech and partnerships, building a strong community and spreading the word about Ratio1 remain top priorities. November was a high-profile month for outreach: we made a splash at a major AI conference, and we laid groundwork for future community growth through education and hackathons.

Showcasing Ratio1 at AI Expo Europe 2025

Early November, the team participated in AI Expo Europe 2025 in Bucharest - one of the continent’s largest AI gatherings (and right in our backyard!). This event attracted thousands of attendees, from industry executives and startup founders to researchers and policymakers, all eager to discuss the latest in AI. Ratio1 had a prominent role: our co-founder and CEO Andrei Ionuț Damian was invited as a panelist on three different panels throughout the conference. This was an incredible opportunity to position Ratio1 as a thought leader in the space where AI intersects with blockchain and security.

The panels covered some of the hottest (and toughest) topics in tech today:

• AI-Driven Scams & Deepfakes: How to Detect and Defend. In this discussion, Andrei joined experts in cybersecurity to tackle the growing threat of AI-generated fake content. He shared Ratio1’s philosophy that the best defense is not only trying to detect fakes after the fact, but also to prove what’s real from the start. He explained how Ratio1 creates an immutable audit trail for data and AI outputs: every piece of content processed in our network is cryptographically hashed and time-stamped in R1FS, and every AI result is linked to a verified node identity on-chain. This means if a video or document was produced through Ratio1, anyone can later validate its origin and integrity via the blockchain record - making it exceedingly hard to pass off a forgery as genuine. This approach flips the script on deepfakes by reducing trust in anything without a proof of origin, rather than hoping to catch every fake with classifiers. The audience was intrigued by this novel, more proactive angle on the problem. It showcases how blockchain (through Ratio1) can complement AI in the fight against misinformation.
  
  
  

• Everyday AI: Finding the Right Balance Between Trust and Caution. This panel delved into how society can integrate AI into daily life (think AI assistants, smart devices, decision support systems) without blindly trusting it or fearing it. Andrei discussed Ratio1’s commitment to "trustless" infrastructure, meaning users shouldn’t have to blindly trust any single provider or AI model - the system’s design should enforce trust. He gave examples of how Ratio1 keeps users in control: data stays encrypted (so not even an AI service provider can snoop) and our EDIL (Encrypted Decentralized Inference and Learning) framework ensures that even if you’re using a cloud AI service, that service technically can’t betray you because it never sees raw data or has unilateral control. He also explained how decentralization removes single points of failure or control: with Ratio1’s Deeploy orchestrator, no single company can pull the plug on an AI service or secretly manipulate its responses, because the deployment is agreed upon by many nodes. The takeaway for the audience was that decentralized AI infrastructure like Ratio1 can provide reliable, censorship-resistant AI services, which increases users’ confidence in adopting AI for daily tasks. It was a fresh perspective compared to the usual "just regulate the big AI companies" narrative.
  
  
  

• Uniting AI with Blockchain - Accountability in AI Systems. In this forward-looking panel, the discussion centered on how blockchain technology can make AI more transparent and accountable. Naturally, Andrei had plenty to share from Ratio1’s experience. He described the Proof-of-AI concept - how every compute job in Ratio1 produces a cryptographic proof that it was executed correctly on known code, and how results and intermediate steps can be logged to an immutable ledger. This kind of transparency can address concerns like: "Who audited the AI model?", "Has this model been tampered with?", "Can we trace how this AI made a decision?" By combining on-chain records with off-chain AI processes, Ratio1 essentially provides an "AI black box recorder". He gave an example of an AI medical diagnosis system running on Ratio1: not only is the diagnosis given, but there’s a ledger of which model (version hash) was used, which data (encrypted references) were processed, and which node performed the computation - all of which can be later reviewed if questions arise. The panel and audience were receptive to the idea that blockchain isn’t just about crypto, but can be a foundational tech to bring accountability and auditability to AI, which is increasingly a black box in critical decisions.
  
  
  

Throughout these panels, it was evident that Ratio1’s story - "The Ultimate AI OS Powered by Blockchain" - is unique and compelling. We weren’t just talking in hypotheticals; we could point to our working network and say, "look, this is already happening." The conference yielded concrete benefits: our booth (yes, we had a small presence off-stage too) was visited by numerous potential partners and curious developers. We exchanged contacts with companies interested in running pilots on Ratio1, and with researchers who want to experiment with our platform for academic work. We also gave out a lot of swag (people loved the Ratio1 stickers and the tagline). Perhaps as valuable as new contacts was the general validation: seeing heads nod in the audience, and hearing other panelists reference our points, reinforced that Ratio1’s vision addresses concerns many people have. It felt like we’re ahead of the curve in combining AI and blockchain for real solutions.

The media covering AI Expo Europe also picked up on our contributions. One tech blog’s recap mentioned Ratio1’s approach to deepfakes as a conference highlight. This kind of organic publicity is fantastic for us as a young project. All in all, AI Expo Europe was a resounding success for outreach - we spread awareness, educated, and built credibility. It’s safe to say Ratio1 will be invited to more such forums, and we’ll gladly participate as evangelists of decentralized AI.

University Partnerships and Hackathon Initiatives

While industry events are great, building a grassroots developer community is equally crucial. That’s why we’re investing in academic partnerships and hackathons, to ensure that students and developers can get hands-on with Ratio1 and hopefully become long-term contributors or entrepreneurs in our ecosystem.

In November, we kicked off a collaboration with University Politehnica of Bucharest (UPB), one of the top technical universities in our home country (and in Eastern Europe). We’re working with UPB’s faculty and student organizations to plan a series of Ratio1 Hackathons and workshops on campus. The idea is to introduce university talent to decentralized AI and challenge them to build something cool on Ratio1. UPB has vibrant computer science and engineering departments, and many students are already into AI and blockchain - so it’s fertile ground for cultivating interest in our project.

Concretely, we held initial meetings to outline the first hackathon, which is likely to take place in early 2026. We’ll co-sponsor the event, provide mentorship (our team will be there to help participants use the SDKs and nodes), and of course, some prizes/incentives for the best projects. We want to see creative ideas: maybe a decentralized AI mobile app, or an integration of Ratio1 with some IoT device, or a novel use of our Proof-of-AI in a game - who knows! The point is to get students thinking outside the centralized mindset and to familiarize them with our tooling.

This university partnership goes beyond a one-off event. We’re looking to establish an ongoing Ratio1 presence at UPB - possibly through internships, research collaborations (e.g., letting master’s or PhD students experiment on Ratio1 for their theses), and including Ratio1 in coursework (for instance, a distributed systems class might use our explorer to demonstrate blockchain in action). Planting these seeds should yield a community of young developers who are fluent in our platform. As they graduate and go into industry (or start companies), they carry that knowledge with them, potentially becoming future Ratio1 ambassadors or customers. It’s a long-term investment in community building.

On the education front more broadly, we also continued to expand our online materials. Our Ratio1 Talks series - informal weekly video chats where team members dive into various topics - carried on in November and garnered a steady following. Recent sessions discussed topics like the technical details of our R1FS storage and recapped learnings from events like the Lugano Plan₿ Forum and AI Expo. We’re using these talks to maintain transparency and keep our community engaged with what’s happening behind the scenes. Additionally, we’ve been developing more tutorial content (some in text, some as short videos) to help new users get started. For example, a step-by-step guide on deploying a simple app with our TypeScript SDK is in the works, spurred by the SDK’s release.

Outlook

As we head into the final month of 2025, Ratio1 has strong tailwinds. The progress across technology, partnerships, and community over the past months sets us up for a strong finish to the year and an even bigger 2026.

December will be about shipping and consolidation. We’re preparing several major releases, including the v1.0 launch of the AI-for-Everyone toolkit, updates to the SDK and Encrypted Learning, and wrapping up key partnership initiatives. At the same time, we’re laying the groundwork for what comes next - from follow-up work with existing partners to new collaborations already taking shape.

Our community momentum continues as well, with hackathon plans, onboarding resources, and end-of-year challenges aimed at keeping builders engaged and inspired. Many of the foundations laid in November - from ecosystem tooling to broader platform support - position us well for early 2026, whether through larger projects, new verticals, or a growing developer base.

Building an ecosystem is never finished. It requires steady execution, honest prioritization, and constant care for both the technology and the people around it. But looking back at how much moved from idea to reality in just a few months, we’re ending the year with confidence and momentum.

To everyone building, partnering, contributing, and cheering from the sidelines: thank you for being part of Ratio1’s journey. What started as a vision is steadily becoming a living ecosystem - and this is only the beginning.