An innovative healthcare technology startup has developed a Minimum Viable Product (MVP) that integrates healthcare cost considerations into AI-assisted clinical decision support, emphasizing a safety-first approach. The project includes a clinical interface, an AI-powered backend, a public-facing website, and an existing LLC, offering a foundational platform for future development. It is a pre-revenue venture, presenting an opportunity for a healthcare entrepreneur or company to advance it. The MVP's functionality allows users to input clinical data, request diagnostics, and review outputs, incorporating AI-assisted differential diagnosis and cost-sensitive workflows. It is not designed for consumer use but rather institutional healthcare applications, focusing on integrating healthcare cost intelligence into decision-making processes. Current technological elements include Python/FastAPI components, OpenAI API integration, and FHIR-related development, supporting a comprehensive workflow. The available assets include the existing branding, LLC, digital platforms, source code, and technical documentation, all offered as part of a proposed asset purchase. While the solution has not yet achieved commercial validation, it provides a comprehensive base for further commercialization and integration into healthcare systems. The venture is poised for a buyer to drive customer discovery, pilot development, and interoperability work forward. No claims are made regarding clinical validation, FDA clearance, or HIPAA compliance, requiring independent verification for future use. Current ownership seeks a buyer capable of allocating the necessary resources to advance and commercialize the platform, extending its potential impact in healthcare industries. Potential buyers are encouraged to seek further technical details and demonstrations.