Meibel, a company providing a runtime platform for confident AI, recently announced it has secured $7 million in seed funding. The investment round was led by Mosaic General Partnership, with participation from Array Ventures, Denver Ventures, Cofounders Capital, and Service Provider Capital. This funding will be used to accelerate the adoption of Meibel's platform across various industries, particularly those requiring high levels of trust and reliability in AI applications. According to Kevin McGrath, CEO and co-founder of Meibel, the future of AI lies in runtime management. The platform aims to give technical teams the control they need to manage AI behavior in production, focusing on how AI retrieves data, makes decisions, and adapts to new inputs in real-time. Unlike many tools that emphasize model access and prompt tuning, Meibel addresses the intermediate steps between data and models, ensuring that AI systems can be deployed with confidence rather than through experimental methods. Meibel’s platform offers several key features: Intelligent Data Ingestion: Converts both structured and unstructured data into contextually aware information for accurate and traceable decisions. Decision Traceability: Ensures every output is linked to its underlying data, model, and logic, providing full auditability. Customizable Confidence Scoring: Evaluates AI outputs on dimensions like grounding, reliability, and safety, with scores tailored to specific use cases and domains. Agentic and Adaptive Workflows: Coordinates actions among AI, humans, and systems, using both flexible logic and structured oversight. Continuous Adaptation: Implements live feedback to improve outcomes without downtime or retraining. Execution Control: Enables teams to set rules for decision quality, latency, and cost, allowing for fine-tuned operations. These features make Meibel an essential tool for teams looking to operationalize generative AI at scale. Paul Baier, CEO and Co-Founder of GAI Insights, an advisory firm focused on enterprise Generative AI (GenAI), highlighted the importance of such infrastructure. He noted that successful AI-driven features require more than just model integration; they need transparency, confidence, and seamless product integration. Meibel provides these capabilities, turning AI into a strategic advantage for businesses. A notable example of Meibel’s impact is SpecBooks, a commercial construction platform. SpecBooks previously faced a significant challenge automating the process of quoting from architectural plans, which were often inconsistent and contained ambiguous specifications. By working with Meibel, SpecBooks transformed this manual, high-friction process into an automated, intelligent workflow. The platform now drives the quoting process, ensuring that estimators can interpret product intent, resolve information gaps, and match requirements to a live product catalog efficiently. Rob Murray, CEO of SpecBooks, emphasized that Meibel turned a seemingly intractable problem into a core product feature, highlighting the platform’s potential for innovative solutions in challenging industries. Meibel is particularly well-suited for high-trust environments where transparency, control, and performance are paramount. These include legal tech, financial services, healthcare, energy, and the public sector. The platform is already making inroads in government, finance, and manufacturing, where explainability and control are crucial for production AI. Dan Wroten, SVP Public Sector, praised Meibel’s ability to meet the military’s standards for transparency, accountability, and explainability, noting that it has opened new opportunities for mission-critical programs. To support its growth, Meibel will expand its product and engineering teams, enhance core capabilities such as orchestration, retrieval, and live feedback, and strengthen its industry partnerships. The company is also committed to sponsoring and participating in key industry events, such as The AI Summit in London, scheduled for June 11-12 at Tobacco Dock. At the summit, the Meibel team will demonstrate how their runtime infrastructure enables AI systems to operate with transparency, adaptability, and real-time control. Industry insiders, including investors and clients, agree that Meibel’s approach is unique and valuable. Fatima Husain of Mosaic General Partnership remarked that Meibel stood out among many AI infrastructure pitches due to its comprehensive and practical solution for AI deployment. Husain emphasized that Meibel is not just another orchestration tool but a true partner for large clients, offering the control, traceability, and reliability necessary for business-critical AI systems. Looking ahead, Meibel aims to continue advancing its technology to help more teams transition from AI pilot projects to full-scale production. The company's focus on scalable, explainable, and adaptable AI promises to revolutionize how businesses integrate and manage these powerful tools, ensuring that AI systems can perform reliably and efficiently in diverse and demanding environments.