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Edition 02
This edition highlights how Federated Computing transitions siloed data into a unified, secure engine for value-based care and industrial innovation.
As the world's largest enterprises move from experimentation into global deployment, the focus has sharpened on the infrastructure required to sustain enterprise grade AI. The priority is no longer just model performance, but the ability to operate across decentralized architectures that respect data sovereignty.
April 8, 2026
Collaborative AI: Bridging the Payer-Provider Divide
In our latest blog, we explore how Collaborative AI is bridging the long-standing divide between payers and providers. By utilizing federated computing, healthcare organizations can now move beyond administrative friction to engage in secure, cross-organizational data collaboration. This approach enables real-time insights into patient outcomes and cost-of-care metrics without moving sensitive data, transforming a traditionally adversarial relationship into a unified, data-driven partnership focused on value-based care.
April 7, 2026
The AI Alliance & Project Tapestry
The AI Alliance, a global coalition of over 200 organizations including IBM, Meta, and Google, recently launched Project Tapestry to accelerate the development of sovereign AI. Led by Chief Science Advisor Yann LeCun, the initiative aims to build a world-class, open-source platform for federated model training. By allowing institutions and nations to co-train massive foundation models without moving their raw data, Project Tapestry provides a scalable blueprint for high-performance AI that respects local control, IP protection, and cultural autonomy.
March 9, 2026
EU unveils $86M EURO-3C project to build ‘federated telecom edge cloud’
The European Commission recently unveiled the 3C (Cloud-Edge-Cloud) Project, an €86 million initiative designed to create a unified, federated telecom edge cloud across Europe. By integrating distributed resources from various providers into a single, secure architecture, the project aims to eliminate provider lock-in and enable seamless, low-latency AI deployment at the edge.
Welcome to the Newest TuneLab Members
Lilly TuneLab expands to more than 75 biotechs as Applied Cognition, Amphista Therapeutics, Oryn, Vasa, Tahoe Bio, and Xylo Bio join the program in the past month.
Lilly TuneLab provides access to AI/ML small molecule ADMET prediction models and antibody property prediction models, trained on proprietary Eli Lilly data. Lilly TuneLab is built on the Rhino Federated Computing Platform, which allows member companies to train more robust models while keeping their data in a private environment.
Introducing Amazon Bio Discovery
AWS recently launched Amazon Bio Discovery, a new agentic application designed to make "lab-in-the-loop" drug discovery accessible to every researcher. By integrating over 40 AI biology models with agentic assistants, the platform allows computational biologists and bench scientists to collaborate on complex workflows—such as antibody design—without managing infrastructure. This launch signals a major move by AWS into the agentic AI space, providing a scalable, no-code environment where AI agents help optimize experimental configurations and close the feedback loop between computational predictions and wet-lab validation.
Data Harmonization Engine
Preparing data for federated learning, inference, and analytics workflows can seem a little daunting since different organizations and data stores use different fields, formats, and schemas. To accelerate the process of cleaning and making data consistent, we've launched our Data Harmonization Engine (DHE) as core functionality to Rhino FCP.
The DHE radically streamlines both the semantic mapping (matching vocabulary) and syntactic mapping (matching output structure) for data in Rhino, leveraging custom agentic AI processing as a first pass and then providing an easy interface for expert review by data engineers. As of now, we have pre-built capabilities for FHIR, OMOP, and SNOMED, but it's capable of mapping to any internal or external standard.
If you'd like to learn more, please reach out to your Rhino rep. or request a demo here >>
Upcoming
May 6, 2026
AI Demo Day
Join an exclusive virtual event showcasing the most innovative AI solutions through concise 10-minute demos. Gain valuable insights and ask questions directly to the founders and top leadership of cutting-edge AI companies.
Watch the Recordings
The Agentic Shift: Designing AI That Can Reason, Plan, and Act
This webinar unpacked what it means to build and deploy agentic AI—models that possess goal-directed reasoning, dynamic planning capabilities, and the ability to autonomously execute tasks across complex workflows.
- Adrish Sannyasi, VP Customer Solutions and Delivery
- Girish Bhat, SVP, Revefi
- Antonio Cotroneo, Director, Product Marketing, Precisely
- Dave Mariani, Co-Founder & CTO, AtScale
- Shan Kulandaivel, Head of Product, BigQuery Advanced Analytics, Google Cloud
AI Infrastructure That Scales: Foundations for Real-World Deployment
Expert panelists go beyond prototypes and pilot programs to discuss what it really takes to build AI infrastructure that holds up under production demands.
- Adrish Sannyasi, VP Customer Solutions and Delivery
- Dave Mariani, Co-Founder & CTO, AtScale
- Erik Bauch, Vice President of Data & Analytics, Constant Contact
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From Structure to Selectivity: Federated AI for Collaborative Binding Affinity Prediction
This session examined how federated computing allows pharmaceutical organizations to collaboratively improve drug discovery models and predict binding affinity without compromising proprietary datasets or intellectual property.
- Pete DiMaggio, Director, Johnson & Johnson Innovative Medicine
- Andrea Bortolato, VP Drug Discovery, SandboxAQ
- Elke Nelson-Nichols, VP, Life Sciences, Rhino Federated Computing
Rhino Events
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Federate AI Executive Forum
June 16, 2026 | Boston Seaport
A small, invite-only gathering of senior leaders focused on AI adoption in highly regulated environments. The forum will foster thought leadership, peer discussion, and knowledge exchange on the strategic challenges and opportunities shaping enterprise AI.
This is an invite only event. Please contact renee@rhinofcp.com if you’re interested in attending.
Federate AI Summit
October 19, 2026 | Boston Seaport
This Summit will bring leaders across industries and enterprises together to discuss shared challenges, practical insights, and use cases to help future-proof AI infrastructure and drive enterprise innovation and value.
Recent Highlights
Lab of the Future
Presentation: From Data Silos to Federated Intelligence: Federated Computing and Agentic Middleware for overcoming infra complexity, managing data silos, and protecting IP
- Adrish Sannyasi, Vice President, Customer Solutions and Delivery
AML & FinCrime Tech Forum USA
Keynote Panel: Heightened Regulatory Scrutiny and Enforcement – What’s New and What’s Next?
- Chris Laws, CCO
Keynote Presentation: From Siloed Signals to Collaborative Crime Fighting with Federated Computing
- Chris Laws, CCO
- View Presentation Insights >>
AI Convergence Small Molecule Discovery Summit
Poster: Federated Computing: The Missing Architecture Layer for AI-Driven Drug Discovery
AWS Life Sciences Symposium
The Rhino team met with life science leaders to discuss new ways to leverage cloud technology and federated computing to improve patient outcomes. Building on our Amazon Web Services (AWS) partnership, we make it easy to scale AI workloads globally while ensuring your data stays secure within your own AWS environment.
Upcoming Stops
April 27-28 | ASAP Summit
May 14 | LionBird LP Meeting
May 18-19 | SCOPEX
May 18-19 | TechX Edge Computing Expo
May 19-21 Bio IT World
June 3-5 | BioCentury Grand Rounds
June 9-12 | FLICS
June 14-18 DIA Annual - US
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