Morphy-Vision

Problem: Humans are often tasked with exploring vast amounts of multimedia information to make decisions or hypotheses but rarely have the time or resources to sift through every source.Solution: Mile Two builds high-performing human-machine teams. We are proposing a generative AI solution, Morphy-Vision, that leverages Retrieval Augmented Generation (RAG) Large Language Models (LLMs) and Computer Vision to enhance information retrieval across unstructured text, image, video, and audio data.áMorphy-Vision is a super-human librarian who can consume every file in a userÆs digital library. It provides both text and visual responses to any prompt and links the precise sources used to formulate that answer.Impact: For a broad range of military and industry use cases, Morphy-Vision reduces time, cost, and cognitive burden. It allows users to focus on interpreting relevant information rather than searching for it.Differentiation: Other tools in the multi-modal search space focus on only a subset of file types, forcing users to assemble tools that are not integrated or to ignore a portion of their data.Commercialization:á Our company has a successful track record of advancing SBIR awards into impactful Phase III technologies. Mile TwoÆs enabling technology, Morphy-AI, is TRL 7 and has been validated in civilian hiring, airworthiness certification, and accident investigation use cases. We utilize industry-standard pricing models to meet our customer's varying needs.