Skip to content
01 · Use cases— The evidence

Roche

3 documented AI deployments at Roche, across 1 industry. Each one links to the public source it was taken from.

Basel, Switzerland · Founded 1896 · roche.com · WikipediaSource: Wikidata, 2026-11-01

3
deployments
on record
1
industry
Healthcare
33%
use AI agents
1 of these
11 Mar 2024
latest source date
§ 1

Public AI record

Roche has 3 documented public AI cases on the hub, too few for a score. Clinical documentation and healthcare workflow automation are common among peers but not yet documented at Roche.

Low confidenceBased on 3 public cases · updated 10 Nov 2026

A record score appears once Roche has 5 documented public cases. The peer comparison below already uses what is on record.

First documented case Dec 2021, latest Mar 2024. No new deployment documented since Mar 2024. Cloud providers named: Microsoft.

§ 2

Compared with peers

Against 39 other healthcare companies on the hub.

What peers document

  1. 54%
  2. Patient engagement13 of 39 peers · here too
    33%
  3. 28%
  4. 23%
4 of 6 patterns

Gaps against the industry

Stack and approach vs peers
  • Peer cases name Microsoft 74%, AWS 18%, GCP 8%.
  • AI agents: 33% of Roche's cases vs 44% for peers.
  • Cases from the last 12 months: 0% vs 22% for peers.
§ 3

Deployments

3 deployments at Roche, newest first.

  • 11 Mar 2024
    Healthcare

    Roche, Ramsay Santé, and Schneider Children's Medical Center revolutionize healthcare with AI-driven copilots

    Roche · Patient engagement · Microsoft

    Roche, Ramsay Santé, and Schneider Children's Medical Center of Israel have embraced Microsoft Azure AI Health Bot, combining generative AI and health-specific safeguards to develop advanced healthcare copilot solutions. These organizations are integrating protocol-based workflows and AI-powered chat interfaces, tailored to clinicians' and patients' needs, improving access to medical information and support. The solution combines generative answers from Azure OpenAI Service grounded on authoritative sources and organizations' own medical guidelines. Customizable workflows, compliance controls, audit trails, and healthcare-focused quality checks ensure safety and privacy. Early pilots have demonstrated reductions in clinician workload, better adherence to protocols, and an improved ability to deliver secure and actionable medical guidance in real time. Implementations are already being tailored regionally across Europe and Israel. With the integration of Microsoft Copilot Studio, these health systems can create customized copilots aligned to organizational and geographic protocols, offering comprehensive conversational AI capabilities. The unique combination of AI and protocol-driven automation allows each organization to address both complexity of medical data and the necessity of compliance, helping realize the promise of trustworthy medical AI across diverse healthcare journeys.

    AgenticProduction

  • 26 Sept 2022
    Healthcare

    Roche revolutionizes pharmaceutical research with Azure Confidential Computing

    Roche · Federated learning · Microsoft

    Roche has implemented Azure Confidential Computing to securely analyze sensitive patient data in pharmaceutical research and drug development. By leveraging state-of-the-art security features including clean rooms and Intel SGX-powered Azure DCsv3 VMs, Roche ensures compliance and enhances trust in technology while fostering collaboration with hospitals for clinical studies. This solution creates a secure environment for sharing critical patient data without compromising its confidentiality, embodying Roche's ambition to develop advanced technology-driven, privacy-respecting healthcare innovations.

  • 7 Dec 2021
    Healthcare

    Roche modernizes breast cancer diagnostics with Azure-based AI

    Roche · Medical imaging · Microsoft

    Roche has deployed artificial intelligence solutions such as uPath Ki-67, ER, and PR digital pathology algorithms to automate tumor marker analyses. Integrated with Roche's uPath NAVIFY platform, these tools enhance diagnostic precision while reducing manual workload for breast cancer pathologists.

    Production

§ 4

What it builds

Federated learning is the most common pattern in these deployments: 1.

§ 5

Cloud providers named

Microsoft is named in 3 of these deployments.

  1. Microsoft100% of these
    3
§ 6

Industries

All of these deployments are in Healthcare.

Follow Roche

Or to follow it from your account.