By delivering private, regulation‑ready AI at scale, Cloudforce removes a key barrier for education and healthcare institutions, driving faster, responsible AI adoption across regulated markets.
The surge in generative AI has left regulated sectors such as higher education and healthcare scrambling for solutions that meet strict privacy and compliance standards. Traditional AI subscriptions often require institutions to surrender data to third‑party providers, creating legal and reputational risk. Cloudforce’s nebulaONE addresses this gap by delivering a private‑cloud AI environment built on Microsoft Azure, allowing organizations to retain data sovereignty while accessing leading models from OpenAI, Anthropic, Meta and others.
NebulaONE’s architecture centers on a “bring‑your‑own‑model” framework that isolates AI workloads within an institution’s own Azure tenant. This design satisfies FERPA, HIPAA, GDPR and other regulatory mandates, while offering granular cost control through pay‑as‑you‑go pricing. The platform also bundles consulting, change‑management and forward‑deployed engineering services, ensuring that technical adoption translates into measurable productivity gains for faculty, clinicians and public‑sector employees.
The $10 million Series A, bolstered by Owl Ventures’ EdTech expertise and Microsoft’s M12 network, signals strong market validation for secure AI infrastructure. With over 90 institutional customers and a 100 % retention rate, Cloudforce is poised to capture a growing share of the AI‑as‑a‑service market, especially as universities and hospitals accelerate digital transformation. Competitors that rely on generic cloud AI offerings may struggle to meet the compliance rigor that nebulaONE delivers, giving Cloudforce a strategic advantage as enterprises demand trustworthy, enterprise‑grade AI solutions.
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