SOAR TECHNOLOGY, LLC — Department of Defense SBIR Phase II: AF222-D002
SOAR TECHNOLOGY, LLC — 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.
- Obligated amount $1,249,807 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code AF222-D002 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $1,249,807
- Agency
- Department of Defense · Air Force
- Program / Phase
- SBIR · Phase II
- Topic
- AF222-D002
- Solicitation
- 22.2
- NAICS
- —
- Place of performance
- MI
- Period
- 2023-01-04 → 2025-03-04
Description
SoarTech has assembled an expert top tier team of scientists, Subject Matter Experts (SME’s), and specialized wearable sensor engineers to leverage prior work in autonomous monitoring of human performance-based physiology, environmental, and expendable resupply measures to address challenges for an Isolated Person (IP). Our team has a unique systematic approach that is built upon phase 1-equivalent proven extensible capabilities from prior awarded work with DARPA and DoD customers. Our high TRL offerings are backed with precisely accurate physiological Modeling and Simulation (M&S) tools and technical consultants to aid in Verification and Validation (V&V) of our prototype design to ensure scalable scientific credibility and technical feasibility. Our comprehensive AI autonomous wearable sensor-based approach offers a Sensor Suite subsystem that supports common sensor interfaces to capture raw data, perform feature extraction, and process filtered metrics. These metrics are inputs for an AI Agent subsystem to process with a hybrid method utilizing medical-based reasoning model logic and learned knowledge for predicting supply usage, providing interactive feedback on human performance, and generating an optimized and prioritized resupply survival kit list that an IP can verify before transmitting to rescue personnel. Our system is appropriately named SAVIOR (Special Forces Autonomous Vital Inventory Observer & Re-supply).