SBIR-STTR Award

Data Society presents a technical quote in response to Topic AF192-001 to the AFWERX Command of the United States Air Force that is focused on demonstrating the feasibility of, and operational and financial gains that would result from, delivering an Artificial Intelligence-powered tool to provide situational awareness across AI and science and technology capabilities to facilitate research and identification of advanced solutions. The Phase I prototype will demonstrate the type of user interface and tool usage that the USAF analysts will expect in the full "CAFÉ" tool rollout, to: 1. Accelerate Market Research: a. Make build vs. buy decisions, b. Ensuring compliance to DFAR, FASA, and NIST standards, c. Ensuring you ask for the right capabilities in the RFP, d. Recommend vendors/experts for each requirement, 2. Optimize Investment: a. Identify AI and S&T relationships, b. Awareness to fundamental research; where the global competition is heading & investing, c. Assess the Technology Readiness Level (TRL) of a capability, d. Evaluate RFP responses within the context of the capabilities available aligned to mission requirements, 3. Protect U.S. Interests: a. Protect the Defense Industrial Base, b. Track foreign investments & non-notified transactions, c. Deny threat actors, d. SW & HW supply-chain risk; sustainment

Data Society presents a SBIR Phase II technical quote in response to Topic AF192-001 to the AFWERX Command of the United States Air Force that is focused on demonstrating the feasibility of, and operational and financial gains that would result from, delivering an Artificial Intelligence-powered, rapid knowledge and decision-making tool for providing real-time situational awareness around AI and other state-of-the-art technological capabilities with respect to their impacts on national defense (CAFÉ). After a successful Phase I, Data Society found an Air Force customer / end-user interested in developing an MVP of CAFÉ in 90 days, and we have commenced work. That organization was specifically interested in the the CAFÉ tool for use in sourcing the most modern, AI technology in cyber threat detection and protection for the security of national defense assets. The specific development focuses on designing the core knowledge graph database, identifying and ingesting the appropriate sources, and developing a prototype UI/UX based on discovered user needs. Phase II would fully implement the database designed in the MVP, automate source ingestion and other critical ETL processes, add sources, and refine the UI/UX based on further user need discovery.