Rhino Federated Computing

Federated Computing / Privacy-Preserving AI Platformrhinofcp.com

Rhino Federated Computing provides a privacy-preserving federated computing platform enabling healthcare providers, pharmaceutical companies, financial institutions, and public sector agencies to collaborate on AI model training and analytics without sharing raw data.

Company typePrivate
Founded2021
HeadquartersBoston, United States
Headcount51–100
GTM typeB2B
OfferingSoftware

What Rhino Federated Computing does

Rhino Federated Computing, founded in 2021 by Dr. Ittai Dayan (former Mass General Brigham executive) and Yuval Baror (former Google engineer), provides a privacy-preserving federated computing platform that enables organizations to collaborate on AI model training and analytics without transferring raw data. The core product, the Rhino Federated Computing Platform (FCP), is built on the NVIDIA FLARE framework and combines federated learning, edge computing, and generative AI. Complementary modules include RhinoDHE for data harmonization, the GenAI-powered Harmonization Copilot for no-code ETL to FHIR, Federated Model Networks, Federated RAG, Federated Agentic AI, and the Rhino Model Context Protocol (MCP).

The platform addresses a structural tension between AI's demand for large datasets and regulatory constraints such as HIPAA and GDPR, serving healthcare providers, life sciences and pharmaceutical companies, financial institutions, and public sector agencies. Named customers and partners span Sheba Medical Center, Johns Hopkins Medicine, MD Anderson, Dana-Farber, Cedars-Sinai, Massachusetts General Hospital, Children's National Hospital, UPMC, Assuta, Eli Lilly, and the Cancer AI Alliance (CAIA); the company reports more than 70 organizations globally, including 14 of Newsweek's Best Smart Hospitals. Revenue is generated through enterprise platform subscriptions sold via direct field sales, augmented by channel partnerships with AWS, Google Cloud, Microsoft, NVIDIA, NTT DATA, Capgemini, Carahsoft, and TD Synnex, with the platform listed on the AWS Marketplace; pricing is quote-based with no public tiers disclosed.

Rhino is headquartered in Boston with an R&D center in Tel Aviv, holds ISO 27001, SOC 2 Type II, HIPAA, and GDPR-aligned certifications, and has raised approximately $26.7 million across a $5M seed (Feb 2021), a $6.7M round (Oct 2022), and a $15M Series A led by AlleyCorp in May 2025.

Rhino Federated Computing firmographics

Firmographics

Name: Rhino Federated Computing
Legal name: Rhino HealthTech, Inc.
Website: https://rhinofcp.com
Company type: Private
Founded year: 2021
Operating status: Operating
Headcount range: 51–100 employees
Short description: Rhino Federated Computing provides a privacy-preserving federated computing platform enabling healthcare providers, pharmaceutical companies, financial institutions, and public sector agencies to collaborate on AI model training and analytics without sharing raw data.
Ownership category
akta.pro rank

Rhino Federated Computing industry classification

Industry

Product category: Federated Computing / Privacy-Preserving AI Platform
NAICS: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
SIC: Services-Prepackaged Software (7372)
akta.pro primary industry: Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)

Keywords

Federated learning platform
Privacy-preserving AI
Healthcare data collaboration
Decentralized AI training
FHIR data harmonization

Where Rhino Federated Computing is headquartered

Location

Headquarters

HQ city: Boston
HQ country: United States
HQ region: North America

Offices2 records

Markets served

Rhino Federated Computing business model

Business model

GTM type: B2B
Offering type: Software
Cost components: Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

Platform Subscription: Enterprise software licensing of the Rhino Federated Computing Platform, likely subscription-based with tiered access levels for different organizational sizes and use cases.

Go-to-market motion3 records

Distribution channels3 records

Marketing channels9 records

Rhino Federated Computing product offering

Product offering

Core offering

Rhino Federated Computing sells an enterprise platform (Rhino FCP) that enables hospitals, life-sciences firms, financial institutions, and public-sector agencies to train AI models and run analytics on decentralized data without moving or exposing the underlying records. The platform is built on the NVIDIA FLARE framework and is offered with modules such as RhinoDHE for data harmonization and the Harmonization Copilot for GenAI-powered FHIR standardization, sold as a subscription/enterprise license with demo-led buying.

Product overview

Rhino Federated Computing offers a unified platform architecture consisting of the core Rhino Federated Computing Platform (Rhino FCP) as the central product, complemented by specialized modules including RhinoDHE for data harmonization and the Rhino Harmonization Copilot for AI-powered FHIR standardization. The platform provides solution-specific offerings for Federated Data Science, Federated Model Networks, and Federated Agentic AI. All products enable organizations to collaborate on AI and analytics without moving sensitive data, maintaining privacy and security while facilitating cross-institutional innovation across healthcare, life sciences, financial services, and public sector industries.

Differentiator

Problem solved

Functional benefit

Products and services

Rhino Federated Computing Platform (Rhino FCP) Core enterprise platform enabling privacy-preserving federated computing across decentralized data sources. Supports federated learning, edge computing, and generative AI for cross-institution collaboration without data transfer, built on the NVIDIA FLARE framework. Sold to healthcare systems, pharmaceutical companies, financial institutions, and public-sector agencies.
RhinoDHE (Data Harmonization Engine) Enterprise data harmonization module that standardizes disparate data sources to common data models including FHIR, enabling seamless cross-institutional data collaboration for regulated industries.
Rhino Harmonization Copilot Generative AI-powered data standardization application using GenAI to build efficient, no-code ETL processes for automatic conversion of databases to FHIR-compliant structures with syntactic and semantic mapping capabilities.
Federated Data Science Solution offering enabling data scientists to train machine learning models across decentralized healthcare institutions without exposing raw patient data, supporting cross-institutional research collaborations.
Federated Model Networks Network infrastructure connecting multiple institutions for collaborative federated AI model development, validation, and deployment across healthcare, life sciences, and other regulated industries.
Federated Agentic AI Advanced federated computing solution incorporating autonomous AI agents that can take multi-step actions and make decisions with limited human intervention while maintaining data privacy across distributed sources.

Quantifiable outcome

EXAM model achieved AUC of 0.92+ for COVID-19 oxygen prediction across 20 institutions
+2 more outcomes

Companies that use Rhino Federated Computing

Customer profile

Named customers12 records

Segments4 records

Ideal customer profiles4 records

Rhino Federated Computing technology and API

Technology

Technology focussed Yes

API detail

Has API: Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability9 records

Feature7 records

Rhino Federated Computing partnerships and signals

Strategic signal

Partnerships

21 partnerships are on record, tiered core, major and minor.

Google CloudcoreTechnology or Integration · 10 December 2024Strategic partnership for delivering federated computing platform to regulated industries. Collaboration on payments fraud detection using federated learning. Google Cloud marketplace presence.
NVIDIAcoreTechnology or Integration · 10 February 2021Technology partnership leveraging NVIDIA Clara SDK and NVidia AI Enterprise. Rhino FCP built on NVIDIA FLARE framework for federated learning. Co-presentation at GTC conferences and joint go-to-market for healthcare AI solutions.
AWScoreTechnology or IntegrationAWS Marketplace listing for Rhino FCP. Participation in AWS Life Sciences Symposium. Integration with AWS infrastructure for cloud-based deployments.
NTT DATAmajorImplementation/ SI/ Consulting PartnerCollaboration to build federated network for unlocking siloed healthcare data. Joint webinar on clinical data and AI for life sciences.
CapgeminiminorImplementation/ SI/ Consulting PartnerPartner ecosystem membership for system integration and consulting services.
CarahsoftminorChannel Partner/ Reseller/ DistributorGovernment procurement and distribution partner for public sector sales.
TD SynnexminorChannel Partner/ Reseller/ DistributorDistribution partner for technology solutions.
National Cancer InstitutecoreStrategic or Co-development PartnerPartnership with NCI's Early Detection Research Network (EDRN) for pancreatic cancer detection research using federated learning.
American College of RadiologymajorStrategic or Co-development PartnerJoint initiative for privacy-preserving AI in radiology. ACR Connect powered by Rhino Platform for collaborative AI development.
EFPIAmajorStrategic or Co-development PartnerPartnership to advance pharmaceutical research using federated AI.
Flower LabsmajorTechnology or IntegrationPartnership to accelerate Federated Learning adoption across industries.
MedinexomajorStrategic or Co-development PartnerPartnership to expand data diversity in therapeutic development.
Elise (European Network of AI Excellence Centres)minorStrategic or Co-development PartnerPartnership for AI excellence in Europe.
EHDENminorStrategic or Co-development PartnerEuropean Health Data Evidence Network partnership.
Collective Minds RadiologyminorStrategic or Co-development PartnerRadiology collaboration network partnership.
European CommissionminorStrategic or Co-development PartnerPartner ecosystem membership for European initiatives.
Beyond BIOminorGTM or Marketing PartnerBeyondBio SCALE program participant for Israeli biotech ecosystem.
SwiftmajorStrategic or Co-development PartnerCollaboration on payments fraud detection using federated learning with Google Cloud.
CHOMminorStrategic or Co-development PartnerPartner ecosystem membership.
Sheba Medical Center (ARC Innovation)coreStrategic or Co-development PartnerStrategic collaboration to accelerate AI-powered innovation in healthcare while preserving patient privacy. FHIR standardization webinar partnership.
Maccabi KSM Research and Innovation CentermajorStrategic or Co-development PartnerPartnership to facilitate healthcare data collaborations.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Rhino Federated Computing competitors and assessment

Company assessment

Direct peers

Duality Technologies: Privacy-enhancing computation platform using homomorphic encryption and secure federated analytics. Closely comparable to Rhino on technology stack (privacy-preserving ML) and on regulated-industry customer focus.
Lifebit: Federated genomics and biomedical data platform used by research institutions and pharma. Directly comparable to Rhino's life sciences and healthcare federated computing offerings, with overlapping genomics/pharma customer base.
TripleBlind: Privacy-preserving computation platform enabling collaboration on regulated data without decrypting it. Comparable to Rhino because both target the same fundamental problem — secure multi-party data collaboration across healthcare and financial services.
Flower Labs: Open-source federated learning framework vendor and Rhino's stated technology partner. Directly comparable because both sell federated-learning infrastructure to enterprises and developers, overlapping on framework, customer base, and deployment model.
Truveta: De-identified health data platform aggregating EHR records across US health systems for analytics and AI training. Comparable because both sell to large US health systems and solve data-access problems for clinical AI, though Truveta centralizes data while Rhino federates it.
Owkin: Federated learning platform purpose-built for healthcare and life sciences research, with marquee hospital and biopharma customers. Comparable to Rhino because both sell privacy-preserving AI infrastructure for cross-institution biomedical research.

Emerging players

Enveil: Privacy-preserving search and analytics vendor using secure computation (FHE/MPC). Comparable on privacy-preserving compute technology stack and on regulated-industry (financial services, government) go-to-market.
Datavant: Healthcare data connectivity company focused on de-identification, tokenization, and linking patient records across institutions. Adjacent peer because it addresses the same regulatory data-sharing bottleneck as Rhino but via a tokenization rather than federated compute model.

Broad incumbents

NVIDIA (Clara / FLARE / NVFlare): Provides the FLARE framework that Rhino is built on as well as Clara healthcare AI tools. Comparable as both the underlying platform provider and a potential incumbent competitor, since NVIDIA could deliver federated services natively to the same enterprise customers.
AWS Clean Rooms: Hyperscaler-provided privacy-enhanced data collaboration service within the AWS ecosystem. Rhino is even listed on the AWS Marketplace. Comparable as a competing federated/clean-room collaboration offering sold to the same regulated-industry enterprise buyers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks5 records

Key highlights6 records

Customer concentration

Rhino Federated Computing compliance and trust

Trust signal

Compliance4 records

Rhino Federated Computing financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Rhino Federated Computing leadership team

Management profile

Number of profiles

Profiles6 records

Rhino Federated Computing funding detail

Funding detail

Funding overview

Funding rounds13 records

Investors12 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Rhino Federated Computing M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rhino Federated Computing

What does Rhino Federated Computing do?

Is Rhino Federated Computing a public or private company?

Rhino Federated Computing is a private company. It is classified as venture growth investor backed and is currently operating.

When was Rhino Federated Computing founded?

Rhino Federated Computing was founded in 2021. It employs 51 to 100 people.

Where is Rhino Federated Computing based?

Rhino Federated Computing is headquartered in Boston, United States, in the North America region.

How does Rhino Federated Computing make money?

One revenue line is on record: platform Subscription.

Who are Rhino Federated Computing's main competitors?

Direct peers on record are Duality Technologies, Lifebit, TripleBlind, Flower Labs, Truveta and Owkin. Emerging players are Enveil and Datavant. Broad incumbents are NVIDIA (Clara / FLARE / NVFlare) and AWS Clean Rooms.

Does Rhino Federated Computing have an API?

Yes. Rhino Federated Computing offers a public API and SDK for developers to build and automate federated computing workflows. The platform provides documentation at docs.rhinohealth.com. Additionally, the company has developed the Rhino MCP (Model Context Protocol) which democratizes federated computing, enabling developers to integrate federated capabilities into their applications. Developer documentation is at docs.rhinohealth.com.

What industry is Rhino Federated Computing in?

Rhino Federated Computing's product category is Federated Computing / Privacy-Preserving AI Platform. Its primary akta.pro industry code is HDAAAKAI, Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs). Its NAICS code is 5182 and its SIC code is 7372.