Connect Rhino to the systems you already run. Trusted Integrations open secure, admin-approved connections from each Rhino Client to data platforms, FHIR servers, and private models inside your perimeter, such as Snowflake, Databricks, and Amazon Bedrock. Each connection stays open only while the code that needs it runs.

Workflows

Build federated work once and run it anywhere. Workflows package multi-step jobs into a versioned pipeline that runs the same way at every site, on each site’s own data, and records every run. Teams can build them in a visual, no-code interface.

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Webinars

Upcoming

Connected, Repeatable Federated Pipelines with Trusted Integrations and Workflows

November 18, 1PM EST

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Speakers:

Tom Heys, Director, Product Marketing, Rhino Federated Computing
Kim Burns, Senior Product Manager, Rhino Federated Computing

Proving federated AI works takes one team, one dataset, and a few hand-written scripts. Running it as a program takes much more: the same work repeated across sites and data refreshes, secure access to the data stores and models each site already uses, and a clear record of what ran and what resulted. Trusted Integrations and Workflows, two new capabilities of the Rhino Federated Computing Platform (FCP), close that gap.

Trusted Integrations open scoped, admin-approved connections between Rhino and the systems inside your secure perimeter. Workflows package steps across those systems into one repeatable, versioned process. In this session we'll demonstrate a true-to-life federated project for exploring neurodiverse pediatric patient data for insights. Fueled by synthetic data from fictional pediatric clinics, we will show how running a Workflow pulls patient records from Snowflake and Databricks at different sites, uses Amazon Bedrock to flag sleep issues in clinical notes, and creates one cross-clinic answer using Rhino's federated analytics.

What you'll learn

Why moving from a federated pilot to an enterprise federated program depends on governed connections and repeatable processes
How Trusted Integrations securely connect Rhino to systems your teams already use, such as Snowflake and Amazon Bedrock
How Workflows chain data retrieval, LLM processing, analysis, and other federated workloads across enterprise systems into one versioned, repeatable process
How a single Workflow takes patient, medication, and clinical note data to a result: for each diagnosis group (ADHD, autism, or both), the medications linked to the fewest and the most documented sleep issues

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Watch the Recording

Federated Intelligence: Scaling Enterprise AI Without Moving Data

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.

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Events

Federate AI Summit

October 19-20, 2026 | Boston Seaport

Last week, Rhino hosted the Federate AI Summit. The summit was built around one question: what does it take to move federated AI past the proof of concept and into production?

Over two days and four tracks, researchers, clinicians, pharma data scientists, regulators, cloud providers and investors shared what’s working. Consortia like FAITE and PROBE talked about governing shared models across many organizations. PROBE described how its 39 partners arrived at a single model. Institutions including MSK, Moffitt, NCI, Argonne National Laboratory and Swissmedic shared their experience, and Swissmedic presented a regulatory case study. Partners and industry leaders from NVIDIA, AWS, Google Cloud, PacBio, Tempus and Synthesize Bio also took the stage. Sessions also went beyond healthcare into aviation, energy, agriculture, manufacturing and investment management.

The summit was also our launch stage. VP of Product Antoni Abella Vendrell and Director, Product Marketing, Tom Heys introduced Trusted Integrations and Workflows on the Rhino FCP. Trusted Integrations connects federated AI to the systems customers already run inside their own perimeter, and Workflows makes federated pipelines repeatable. Both are available now. Read the press release.

Thank you to every speaker, sponsor, and attendee who joined us in person and online. A full insight report is coming soon!

See You in 2027

Planning for the 2027 Federate AI Summit is already underway. We’ll share dates, location, and the call for speakers as soon as they’re set. Keep an eye on the Rhino Reporter and federateaisummit.com for updates. If your team is moving federated AI into production, we’d love to hear your story on next year’s stage.

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Recent Highlights

Reuters Pharma Clinical Innovation 2026

Elke Nelson-NicholsVP, Life Sciences and Daniel Feller, Director, Data Solutions, presented a workshop on Federated AI for Faster Feasibility, Prescreening, and Cross-Border Evidence.

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