Kairos Research LLC

Kairos Research LLC, based in Dayton, Ohio, is a small disadvantaged business that operates as a prime contractor for behavioral science research, human performance modeling, and advanced data analytics for defense and national security applications, competing predominantly under Total Small Business set-asides.

The vendor delivers specialized research and development services grounded in behavioral science, decision-making simulation, and predictive analytics. Representative work includes a $2.4 million Air Force definitive contract (awarded May 2022, completion September 2025) for human performance data modeling and data analytics; a $1.5 million SBIR Phase II award from the Air Force Research Laboratory (May 2022–January 2024) for automated analysis of supplier capabilities for ensuring national dominance (ASCEND); and a $139,997.48 SBIR Phase II contract from Air Force Research Laboratory (August 2025–February 2026) with specific work referenced as non-proprietary. Across the prime portfolio, Kairos executes research contracts under SBIR and STTR mechanisms, with recent awards including a $255,894.40 Army CECOM SBIR Phase I contract for emerging technology leaders (completed December 2022), a $149,975.43 Office of the Secretary of Defense SBIR Phase I award for rapid event analysis and characterization via targeted output refinement (REACTOR; August 2025), and a $139,980.46 Air Force Research Laboratory purchase order for the Predictive Real-Time Insight for Structuring Multi-Team Systems (PRISMS) initiative (July 2026–April 2027). All work is performed in Sugar Creek Township, Ohio.

Customer concentration aligns heavily with defense research: the Air Force Research Laboratory and the Office of the Air Force Materiel Command anchor six awards worth $2.2 million combined potential value, while DARPA accounts for three awards ($1.1 million). The Department of the Army Communications Electronics Command, the Department of the Navy Naval Air Warfare Center, and the National Institute for Minority Health and Health Disparities round out the active customer set. Distinct customer agencies total eight across the portfolio.

The vendor also holds two federal grant awards as a recipient: a $255,894.40 research grant from the Army's Research Development and Engineering Command (awarded June 2025, completion January 2028) for counterfactuals as a mechanism for mindset effects in achievement, and a Phase 1 SBIR grant from the National Institute for Minority Health and Health Disparities (awarded August 2023, completion July 2025) for MIDIARIO, a mobile intervention application for diabetes management targeting Latino adolescents. One subcontract award appears in the portfolio: a sub task with RTX BBN Technologies for MATRIX multi-source analytics services (July 2023).

Recent activity remains modest — fifteen total awards (prime and sub combined) with combined potential value of $6.4 million — but obligated dollars have reached $8.2 million, indicating realization on awards. Two awards face completion within the next twenty-four months, carrying $140 thousand in combined potential value. Award volume peaked in 2022 with three awards and has remained episodic thereafter. The vendor's capability footprint concentrates on NAICS 541711 (Research and Development in the Physical, Engineering, and Life Sciences), with PSC codes tilted toward National Defense R&D Services applied research and exploratory development.

Kairos Research LLC is a small R&D business based in Dayton, OH, conducting applied research for federal DoD (DARPA, Air Force, SOCOM, Army, Navy, etc.), and ODNI (IARPA, NGA) clients with a goal towards software commercialization. Our expertise spans Human-Centered Data Analytics, Explainable AI (XAI), and Adaptive Human-Machine Teaming. We enhance human sensemaking, provide transparent AI insights, and optimize trusted human-machine collaboration for superior and resilient performance in complex, uncertain, adversarial, and dynamic environments. Our work directly supports national security and intelligence objectives, creating new paradigms for human-machine teaming and delivering high-payoff solutions that improve decision-making and mission outcomes. We are uniquely qualified to design hybrid systems that leverage the complementary strengths of natural and synthetic intelligence.