Not Diamond, a leading provider of multi-model AI infrastructure, officially launched Prompt Adaptation, a groundbreaking agentic system designed to unlock the full potential of enterprise AI. Debuted at SAP Sapphire 2025 alongside SAP’s generative AI hub platform, Prompt Adaptation enhances prompt optimization, enabling dynamic routing and automated prompt adjustments across foundation models to improve accuracy and operational efficiency. The launch is bolstered by new funding from IBM, SAP.iO Fund, and other investors, underscoring the strategic importance of prompt adaptation and multi-model orchestration in the evolving AI landscape.
Features of Prompt Adaptation
- Programmable Prompt Engineering
Prompt Adaptation transforms prompt engineering from a manual, static process into an automated, programmable system. It dynamically optimizes and routes prompts across multiple AI foundation models, improving accuracy and accelerating enterprise AI rollout without additional engineering effort. - Seamless Integration with SAP Generative AI Hub
Integrated into SAP AI Core and SAP AI Launchpad’s preview of a prompt optimization service, Prompt Adaptation helps enterprises automatically select the best model-prompt pairing. This enables agile response to new models, varied regional requirements, and regulatory constraints. - Model Agility and Multi-Model Orchestration
As new AI models emerge rapidly, enterprises require infrastructure that can adapt in real-time. Prompt Adaptation ensures continuous access to state-of-the-art models while maintaining cost efficiency and performance across diverse use cases.
Strategic Collaboration and Industry Validation
- SAP Partnership
SAP CTO and Chief AI Officer Philipp Herzig emphasized the importance of prompt optimization for making enterprise AI more flexible, affordable, and reliable. The collaboration with Not Diamond allows SAP and its customers to quickly leverage AI innovation. - IBM and Investor Confidence
IBM, alongside SAP.iO Fund, Myriad Venture Partners, Deepwater, DNX, Ambush Capital, and Defy, participated in Not Diamond’s latest funding round. IBM’s Global Head of Venture Capital, Emily Fontaine, highlighted the critical role of intelligent multi-model infrastructure in scaling generative AI and applauded Not Diamond’s pioneering approach.
The Future of Multi-Model Enterprise AI
Prompt Adaptation and routing form the core of Not Diamond’s vision for a modular, dynamic AI infrastructure. By enabling enterprises to programmatically optimize prompts and automatically route tasks to the most suitable models, Not Diamond empowers faster innovation cycles, reduced costs, and sustained state-of-the-art AI performance. This marks a significant leap toward realizing the full promise of multi-model AI in enterprise setting.