CLARIFAI, INC. — Department of Defense SBIR Phase II: AF211-DCSO1

Description

Clarifai's commercial platform (TRL-7) for machine-learned (ML) Computer Vision (CV) will provide the ability to apply state-of-the-art Artificial Intelligence (AI) techniques for improving mission readiness and sustainment, particularly in the area of Natural Language Processing (NLP). Clarifai is a world leader in the field of Computer Vision (CV), and its employees have published in many peer-reviewed venues garnering tens of thousands of citations. We have a proven track record of adapting our commercial solutions for government purposes, as shown with our participation in Project Maven and our work with other government clients. The People's Liberation Army (PLA) assumes we cannot read their language, and they are correct. This is primarily due to limited Mandarin linguists, long training pipelines, and a lack of high TRL technologies capable of providing real-time exploitation of  Mandarin, Smart Cities, and A2AD platforms. To counter & exploit, AFSOC will need to develop a seamless UX Platform for end-users requiring best-in-breed natural language processing (NLP). Clarifai's AI tech stack helps tag, analyze, and process the translated data sources and speed up targeting cycles. The benefits of using machine learning on top of best-in-breed NLP will help Analysts speed up the intent behind contextual data and language.  Additionally, allowing Clarifai to work on the front end and back end UX, intel communities, and operators can significantly reduce workforce, speeding up targeting cycles.  With AI-powered automated metadata generation, improving cataloging descriptions and asset searchability will help build intelligent searches based on objects, people, color, emotions, and even demographic characteristics. With rich metadata tagging, intel communities and operators will be able to understand not just what's in assets but also how it's used, where it's used, who's viewing it, and their relationships with each other. With a single AI platform, users are given the ability to build and train custom AI models at scale and establish workflows to manage the metadata generation process.