The Rhino Reporter 04

August 31, 2026

Rhino Federated Computing Is Now Live on Microsoft Marketplace

August 28, 2026

Rare Disease Data Already Exists. It Just Can't Move.

August 25, 2026

Pharma AI Industry Report

August 26, 2026

Decentralized Intelligence | Part 1: Why AI Maturity Isn't the Bottleneck

August 17, 2026

Rhino Data Activation for EHDS Data Holders

July 21, 2026

The Federated Intelligence Network: Intelligence Travels, Not Data

July 9, 2026

The Rhino Platform as a Vehicle for Technology Transfer from Academia to the Real World

Welcome to the Newest TuneLab Members

Lilly TuneLab expands to more than 100+ biotechs as Thryv Therapeutics, Pallando, Kovina Therapeutics, Pharis iBio, RyboDyn, Seismic Therapeutic, Immunic Therapeutics, Integrated Bio, Rezo Therapeutics, Artios Pharma, Ignota, Ternary Therapeutics, Maze Therapeutics, Tenvie, Oryn, have joined in the last few months.

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.

Sign up here >>

Rhino is now available in Microsoft Marketplace

Rhino Federated Computing customers can now discover and deploy trusted solutions through Microsoft Marketplace, with smooth integration and streamlined management across Microsoft Azure and other Microsoft products.

View announcement >>

User Workgroups Makes Collaboration Easier

As more Rhino customers are participating across more projects, organizational boundaries, and even across Rhino-supported networks, we wanted to make it easier to stay in the flow and keep working. Rhino users can now belong to multiple Workgroups under a single account and switch between them in one click.

This flexibility is especially useful for users who collaborate across departments, studies, sites, or deployment environments. Check it out in our Docs or talk to your Rhino contact to learn more about how this might help you and your team.

Rhino Supports the European Health Data Space (EHDS) Regulation

With Rhino Data Activation, data remains inside the institution's existing VPC or on-premise environment where it gets described, harmonized, and prepared for primary and secondary use under EHDS. Beyond compliance, those same capabilities enable internal analytics and AI use cases, secure data sharing with research partners, and more.

Read more in this whitepaper >>

Upcoming

September 17, 2026 | AI-Accelerated Harmonization for Real-World Data

Register >>

Speakers:

• Tom Heys, Director, Product Marketing, Rhino Federated Computing

• Daniel Feller, PhD, Director, Health Data Solutions, Rhino Federated Computing

Harmonizing complex healthcare data has always been a labor-intensive process, as skilled data engineers and subject-matter experts must collaborate to write bespoke pipelines for each dataset. This process is highly technical and error-prone, requiring data engineers to have access to the environment in which the data lives. Rhino's Data Harmonization Engine (DHE) streamlines this process by using AI to enable data transformation workflows that can be executed remotely. In this session we’ll demonstrate how the DHE can transform complex real-world data (RWD) into both common data models such as OMOP as well as custom project-specific data models.

October 15, 2026 | Federated Intelligence: Scaling Enterprise AI Without Moving Data

Save-the-Date! Registration link coming soon

Speaker:

• Chris Laws, CCO, Rhino Federated Computing

Foundation models are ready — but the data that matters most (patient records, molecular designs, proprietary research) can't move to meet them. This webinar introduces Federated Intelligence: an always-on ecosystem where models, data products, agents, and infrastructure travel to the data instead of the reverse, coordinated through a neutral orchestration layer built on privacy-enhancing technology and confidential computing. Drawing on live examples already running at scale — including Lilly's TuneLab network of 100+ members — we'll unpack why federation is becoming core infrastructure rather than a one-off pilot, how participants can hold fluid roles as both contributors and consumers of insight, and what it takes to build trust. Attendees will leave with a practical framework for evaluating whether their organization is ready to join — or build — a federated intelligence network.

Watch the Recording

Federated Data Science Workflows

Speakers:

• Tom Heys, Director, Product Marketing, Rhino Federated Computing
• Daniel Feller, PhD, Senior Solutions Engineer, Rhino Federated Computing

In this 30 min. demo, we walk through a real federated data science workflow end-to-end — all using familiar tools on private data that never leaves the collaborating organizations. If you're a data science or AI innovation leader who has ever hit a wall because the data you needed was locked behind legal, compliance, or competitive barriers, this is the session for you.

Federated Learning & Differential Privacy: Architects for Secure AI Collaboration

Speakers:

• Adrish Sannyasi, VP Customer Solutions and Delivery, Rhino Federated Computing
• Maxim Afanasyev, PhD, FSI Head for AIPAC and Japan, Google Cloud

In this session, industry experts covered the architectural patterns making secure, multi-party AI collaboration a production reality. They walk through how federated learning keeps raw data secure inside each institution’s boundaries, how differential privacy provides provable guarantees against re-identification, and how these techniques work together with accelerated computing to power real-time AML, fraud, and sanctions workflows.

Federate AI Summit

October 19-20, 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.

Register >>

Call for Papers >>

Federate AI Executive Forum Insights Report

Senior leaders across industries gathered in Boston for the first Federate AI Executive Forum.
5 Key Takeaways:

1. Federated AI has crossed from theoretical to production-grade deployments
2. Federated networks compound in value, as seen with Eli Lilly's 100+ partner TuneLab network
3. Data harmonization and federation are more powerful when used together
4. Federated AI has moved beyond HCLS and into financial services, agriculture, and supply chain
5. Agentic AI is coming quickly on the horizon for federated AI use cases

Get the full breakdown in the Insights Report >>

Recent Highlights

AICamp AI Meetup

Adrish Sannyasi discussed operationalizing federated learning and what it takes to move federated AI beyond research prototypes and pilots into production.

Google Meet Up: Building Secure Agents for Healthcare & Life Sciences with Gemini Enterprise Agent Platform

Ittai Dayan, Rhino Federated Computing CEO, shared how healthcare and life science (HCLS) leaders are moving agentic AI from the sandbox into secure, scalable production.

AWS Executive Meet Up

LThe Rhino Federated Computing team had the pleasure of joining Amazon Web Services (AWS) and GDS Group for their "Meet the Boss" executive dinner in San Diego. We brought together 30 senior leaders around a shared question: What foundations are required to scale AI in life sciences?

Upcoming Stops

September 14-16 | ASME DRIVN

September 22-24 | Oracle Health and Life Sciences Summit

September 24-25 | Accelerating Bio-Innovation (ABI)

September 28 - October 1 | Sibos

October 5-6 | Reuters Pharma Clinical Innovation 2026

October 26 | IEEE International Conference on Federated Learning Technologies and Applications (FLTA25)

October 27-29 | AI Drug Discovery & Development Summit (AIDDD)