APSIDAL LLC — National Aeronautics and Space Administration SBIR Phase I: H8
APSIDAL LLC — SBIR Phase I award from National Aeronautics and Space Administration.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from National Aeronautics and Space Administration in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $124,958. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code H8 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $124,958
- Agency
- National Aeronautics and Space Administration
- Program / Phase
- SBIR · Phase I
- Topic
- H8
- Solicitation
- SBIR_19_P1
- NAICS
- —
- Place of performance
- CA
- Period
- 2019-08-19 → 2020-02-18
Description
There is a need to enhance the commercial utilization of the International Space Station for space-based manufacturing of unique high commercial valued materials that can only be made in microgravity.nbsp;Apsidal will address the above-mentioned challenges by developing its Laser Doppler Anemometry Assisted Hypercognitive Microgravity Materials Manufacturing Unit. This would allow the manufacturing of high valued optical materials in a way that is fault tolerant, automated, universal and easily adaptable to a space-based environment. At the heart of this unit is its hypercognitive deep-learning control system for manufacturing that seamlessly allows an earth-based method to translate to a zero-gravity environment -- a considerably arduous and expensive task. In order to ensure that the deep learning control is well defined, an innovative in-situ Laser-Doppler-Anemometry based material-quality-check sensor is used as a continuous input to the deep learning-based control system for manufacturing unit. This adaptable approach also drastically minimizes human involvement and the number of space-based iterations.