How Cloudforce and Microsoft helped clinical researchers harness AI to accelerate their work
Few fields have as much promise to benefit from AI-powered workloads as medical and life sciences. The potential rewards are massive: faster research, better patient outcomes, and more personalized care. At the same time, few fields face as much pressure to use AI responsibly. Sensitive data, strict compliance requirements, and high operational complexity mean that even the most innovative life sciences organizations and research institutions must move carefully.
Longtime Microsoft partner Cloudforce knows how to help institutions navigate that risk-reward challenge. Starting out 13 years ago as a systems integrator with specialties in Microsoft Azure and Microsoft 365, Cloudforce works exclusively in the Microsoft ecosystem. Their expertise spans Microsoft solutions like Azure AI and Azure AI Foundry, empowering them to develop AI agents and deploy generative AI that’s fast, compliant, easy to use, and cost effective.
This expertise has made Cloudforce an especially valuable partner in settings where data privacy and precision are paramount, such as biomedical research. Their experience building secure AI agents offers great potential to accelerate new discoveries, and the accessibility of those agents makes them powerful in the hands of almost any user, with low or even no code required. Their Azure-native flagship AI solution, nebulaONE, has already been adopted by more than 40 new university Azure OpenAI customers.
Some of these contacts were established through Cloudforce’s prolific cosponsorship of Microsoft hackathons—including a recent partnership with a major academic clinical research organization.
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