APTIMA INC — Department of Defense SBIR Phase II: HR001121S0007-19
APTIMA INC — SBIR Phase II award from Department of Defense.
Phase II SBIR 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 $1,799,970, this is a large obligation for typical SBIR Phase sizing — worth reviewing for scope breadth and teaming opportunity.
- Topic code HR001121S0007-19 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $1,799,970
- Agency
- Department of Defense · Defense Advanced Research Projects Agency
- Program / Phase
- SBIR · Phase II
- Topic
- HR001121S0007-19
- Solicitation
- HR001121S0007.I
- NAICS
- —
- Place of performance
- MA
- Period
- 2023-08-09 → 2026-02-08
Description
Complex military missions have failed in the past due to poor planning, wherein critical contextual elements of the mission environment, team, equipment, and/or contingencies were missed. Furthermore, important information is often lost in transition from planning to action stages in teamwork due to memory leaks and communication errors. The ultimate success of a mission relies on gathering and capturing critical contextual elements to build a shared situational awareness, a transactive memory system (TMS) to capture the gathered knowledge throughout the cycle of teamwork, and the ability to quickly re-instantiate a team when a loss or disruption has occurred. Although optimizing team transitions and formations are time-consuming and resource intensive, artificial social intelligence (ASI) agents can optimize the work by capturing, reasoning, and predicting over team and mission data to support complex transitions. To enable application of ASI to planning problems, SPIDERSENSE II will create interfaces that support collaborative team planning, generation of machine-readable plans, and flexible team formation approaches that incorporate ASI reasoning. These will be created as components connected to an existing human-agent team (HAT) testbed developed in the DARPA ASIST program, resulting in a testbed aligned to support research on critical operational problems.