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# Aleph Alpha Partners with STACKIT to Deliver Sovereign Enterprise AI at Scale with PHARIA AI-as-a-Service
- URL: https://www.ai-360.online/aleph-alpha-partners-with-stackit-to-deliver-sovereign-enterprise-ai-at-scale-with-pharia-ai-as-a-service/
- Published: 2025-05-26T12:00:00.000Z
- Updated: 2026-10-25T21:53:34.000Z
- Description: Partnership 26/05/2025 Aleph Alpha Partners with STACKIT to Deliver Sovereign Enterprise AI at Scale with PHARIA AI-as-a-Service The partnership brings…
- Author: Nicholas Lipinski
- Tags: news, #company-aleph-alpha, 1. Enterprise AI, partnership

Partnership 26/05/2025 Aleph Alpha Partners with STACKIT to Deliver Sovereign Enterprise AI at Scale with PHARIA AI-as-a-Service The partnership brings PhariaAI, Aleph Alpha’s full-stack AI operating system for generative AI use cases, to STACKIT’s highly secure, GDPR-compliant cloud, [the company said on 26 May 2025](https://aleph-alpha.com/en/news/stackit-partnership-pharia-ai-as-a-service?ref=ai-360.online).

Aleph Alpha Partners with STACKIT to Deliver Sovereign Enterprise AI at Scale with PHARIA AI-as-a-Service, the company said on 26 May 2025\. This collaboration enables organisations to rapidly deploy and scale generative AI solutions based on Aleph Alpha’s PhariaAI with complete control over data, models and deployment options. The partnership leverages complementary strengths: Aleph Alpha’s PhariaAI offers a flexible, scalable operating system for domain-specific generative AI solutions, incorporating advanced proprietary and open-source models alongside Aleph Alpha’s technological innovations, while STACKIT provides sovereign cloud infrastructure with complete data control and full European regulatory compliance.

Streamlining Enterprise AI Adoption PhariaAI-as-a-Service lowers adoption barriers for sovereign AI solutions, enabling organisations to leverage Aleph Alpha’s generative AI technology stack to build domain-specific, customizable applications. PhariaAI ensures organisations retain full control over AI model behaviour, proprietary data processing and flexible deployment options for trusted and compliant AI applications.

For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.

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