APTIMA INC — Department of Defense STTR Phase II: A18B-T007
APTIMA INC — STTR Phase II award from Department of Defense.
Phase II STTR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- At $1,799,967, this is a large obligation for typical SBIR Phase sizing — worth reviewing for scope breadth and teaming opportunity.
- Topic code A18B-T007 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $1,799,967
- Agency
- Department of Defense · Defense Advanced Research Projects Agency
- Program / Phase
- STTR · Phase II
- Topic
- A18B-T007
- Solicitation
- 18.B
- NAICS
- —
- Place of performance
- MA
- Period
- 2023-08-09 → 2025-08-08
Description
Artificial intelligence (AI) is swiftly integrating into the workforce and complementing the human as a teammate. AI imbued with social reasoning capacities, or artificial social intelligence (ASI), is posited as the next avenue of technological advancement. However, researchers have begun to note some of the pitfalls of careless or quick implementation of AI without proper consideration of the weaknesses of AI compared to a human, or the broader impacts on individual and team outcomes. That is, although AI systems may offer opportunities to make decision processes more efficient and precise, they may also remove crucial human elements from those processes. To meet the need for human-in-the-loop AI (HIT-AI) that allows humans and AI to complement each other in their reasoning and intervention efforts, Aptima is providing the ADAPT II.2 solution. ADAPT II.2 builds complementary dashboard components into the existing human-AI teaming (HAT) testbed to allow the human to review computational outcomes of social teaming constructs and ASI-generated interventions. Together, these facilitate after-action reviews (AARs) and the emergence of a potentially superior hybrid advisor.