Cloudforce and Microsoft Accelerate AI Research in Life Sciences
Cloudforce, a longtime Microsoft partner, developed the Azure-native AI agent building platform nebulaONE to help researchers at a prestigious clinical research organization accelerate biomedical research while maintaining high standards of security, privacy, and compliance. nebulaONE enables users, including non-engineers, to build AI agents with low or no code for tasks like data analysis, patient recruitment, and grant proposal writing within a private Azure cloud environment. The platform integrates with Microsoft 365 and other Microsoft solutions, ensuring data remains securely hosted with strict governance controls. Deployment occurred swiftly within five weeks, supported by Microsoft funding and resources, and the platform is now expanding to multiple leading universities and medical centers.
- Organization
- Top academic clinical research organization
- Industry
- Healthcare
- Location
- United States
- Published
- September 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1AI Agent Development
- 2Biomedical Research Acceleration
- 3Secure Data Compliance
- Biomedical researchers faced the challenge of accelerating AI-powered research without compromising patient privacy and meeting strict regulatory compliance such as HIPAA.
- The organization required a secure AI solution that could be used easily by non-engineers and maintain governance and security controls in a sensitive clinical research environment.
- Cloudforce leveraged its expertise in Microsoft Azure, Azure AI, Azure AI Foundry, Azure OpenAI, and Microsoft 365 to develop nebulaONE, an intuitive AI agent building platform.
- nebulaONE deploys directly in the client's private Azure cloud instance, enabling fast, compliant, and secure AI-powered research workflows.
- The platform supports low-code or no-code plain-language prompts, empowering researchers and staff to independently build AI agents to accelerate their work, locate and compile data, and derive insights.
- The deployment accelerated research workflows, enabling faster insights and discoveries while lowering manual overhead.
- nebulaONE's ease of use allows teams to expand AI use cases, such as refining patient recruitment for clinical trials and streamlining grant proposal writing.
- The platform's secure, compliant design ensures that sensitive data remains protected according to strict policies, enabling broader adoption across top academic institutions.
Architecture
nebulaONE is deployed within a private Azure cloud instance hosted by the client organization, with strict governance, security controls, and compliance policies enforced. It integrates with Microsoft 365 and other Microsoft solutions to support research workflows while ensuring data privacy and security.
Implementation partners1
Sources & evidence1
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