Ontada
3 documented AI deployments at Ontada, across 2 industries. Each one links to the public source it was taken from.
Public AI record
Ontada has 3 documented public AI cases on the hub, too few for a score. Patient engagement and healthcare workflow automation are common among peers but not yet documented at Ontada.
A record score appears once Ontada has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case Oct 2024, latest Apr 2025. No new deployment documented since Apr 2025. Cloud providers named: Microsoft.
Compared with peers
Against 39 other healthcare companies on the hub.
What peers document
- Clinical documentation20 of 39 peers · here too51%
- Patient engagement14 of 39 peers36%
- Healthcare workflow automation11 of 39 peers28%
- AI development platform9 of 39 peers23%
Gaps against the industry
- Patient engagement: 36% of peers, not documented at Ontada yet
- Healthcare workflow automation: 28% of peers, not documented at Ontada yet
Signature use cases
No peer on the hub documents oncology discovery.
Stack and approach vs peers
- Peer cases name Microsoft 74%, AWS 18%, GCP 8%.
- AI agents: 33% of Ontada's cases vs 44% for peers.
- Cases from the last 12 months: 0% vs 22% for peers.
Deployments
3 deployments at Ontada, newest first.
- 10 Apr 2025HealthcareSweden
Creating better healthcare outcomes with Azure OpenAI Service and Azure AI Foundry
Kry · Clinical documentation · Microsoft
Kry, a healthcare provider, uses Azure OpenAI Service to automate workflows and improve personalized patient care with AI. Ontada harnesses Azure AI to process vast unstructured medical datasets, analyzing 150 million documents in three weeks. The solution increases efficiency and enables enhanced patient insights through AI innovations.
Production
- 19 Nov 2024OtherUnited States
Global Enterprises Accelerate Transformation Across Sectors Through Generative AI
Air India · Automotive operations automation · Microsoft
This Microsoft Ignite roundup highlights how diverse organizations achieved tangible results by implementing Microsoft AI technologies, especially Azure OpenAI Service and Copilot, in real-world settings. ABB Group leveraged generative AI to help industrial clients track carbon emissions, resulting in significant savings in costs and improved sustainability. Air India modernized its customer service through a GPT-based virtual agent, enabling millions of automated customer interactions and substantial annual cost savings. Campari Group and Eaton streamlined internal operations using Copilot, driving higher productivity and faster routine execution. C.H. Robinson automated logistics pricing requests, dramatically reducing response times. Dentsu created AI copilots for rapid media analytics, increasing return on advertising investments. Medigold Health reduced clinician workload and increased retention by automating health report generation. Ontada accelerated oncology research processing vast unstructured data sets. Toyota Motor Corporation preserved crucial engineering knowledge using Azure-based generative AI multi-agent systems. These cases demonstrate how different industries are boosting efficiency, reducing costs, and innovating faster with Microsoft's advanced AI tools.
Multi-agentProduction
- 17 Oct 2024HealthcareUnited States
Ontada Streamlines Oncology Data Processing for Better Patient Insights
Ontada · Oncology discovery · Microsoft
Ontada, a McKesson business specializing in oncology technology and real-world data, partnered with Microsoft to process over 150 million unstructured oncology document components using Azure AI and Azure OpenAI Service. The collaboration addresses the significant challenge that 80% of vital healthcare data remains unstructured and often goes unanalyzed, hindering patient care improvements. Ontada's data science team deployed Large Language Models (LLMs) via Azure OpenAI Service's Batch API, targeting nearly 100 critical data elements across 39 cancer types. The solution leverages Microsoft's cloud resources to extract clinical data from multiple sources, enhancing data quality, accuracy, and the ability to visualize entire patient journeys. The ON.Genuity platform integrates proprietary EHR data (iKnowMed) and scalable AI, producing robust datasets for informing research, clinical decision-making, and improving oncology outcomes. This initiative enables healthcare providers to access more comprehensive and actionable insights, supporting personalized treatment plans and advancing oncology care quality. With improved real-world data generation, Ontada helps accelerate oncology innovation and research for life sciences partners.
Scaled Production
What it builds
Automotive operations automation is the most common pattern in these deployments: 1.
Cloud providers named
Microsoft is named in 3 of these deployments.
- Microsoft100% of these3