SYNTHETIK APPLIED TECHNOLOGIES LLC — Department of Commerce SBIR Phase II: 9.3
SYNTHETIK APPLIED TECHNOLOGIES LLC — SBIR Phase II award from Department of Commerce.
Phase II SBIR prototype / development signal
- Phase II is where Department of Commerce 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 $497,263. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code 9.3 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $497,263
- Agency
- Department of Commerce · National Oceanic and Atmospheric Administration
- Program / Phase
- SBIR · Phase II
- Topic
- 9.3
- Solicitation
- NOAA-OAR-OAR- TPO-2022-2007174
- NAICS
- —
- Place of performance
- SD
- Period
- 2022-08-01 → 2024-07-31
Description
Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to disrupt ecosystems, alter global weather patterns, and increase the frequency and severity of extreme events across the globe. We propose to develop the DeepSpace-AI platform, for automated monitoring and forecasting of environmental phenomena on a global scale. The DeepSpace-AI platform will automate the import of satellite imagery and complementary data streams for areas of interest, and process this data using a range of machine learning models for object-detection, area-based segmentation, and forecasting. Additionally, the platform will include assisted annotation tools supporting efficient user-generation of custom analysis models.