Deepset and Meta's Llama Stack have partnered to integrate their technologies, aiming to enhance the development and deployment of domain-specific AI solutions across various sectors, including enterprise and defense. This collaboration combines Llama Stack's flexible deployment capabilities with deepset's Haystack framework to offer a comprehensive, modular foundation for creating, orchestrating, and scaling AI solutions with full control and transparency. The joint stack supports on-premise and cloud deployments, catering to highly regulated industries with privacy-sensitive needs. It enables organizations to develop applications such as workflow automations and analytics assistants, while maintaining full ownership and customization of the AI stack. Technical integrations ensure compatibility and robustness, providing standardized components for inference, agent orchestration, and modular pipeline composition. The partnership emphasizes open and interoperable AI ecosystems, allowing organizations to run their solutions locally or in the cloud without vendor lock-in, while extending functionality with custom tools and maintaining observability across the AI lifecycle.