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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Vertical GaN transistors on bulk GaN substrates
SBC: Avogy Topic: 1In this abstract the development of vertical power transistors utilizing bulk GaN substrates with breakdown voltages of 1200V or higher, normally-off operation, and a drain current rating of 100A is proposed. These devices will feature vertical current flow, avalanche ruggedness, and a wide operating temperature range (-55 to 150°C). The target specific on-resistance for the transistor is 30x low ...
SBIR Phase I 2013 Department of EnergyARPA-E -
Vertical GaN transistors on bulk GaN substrates
SBC: Avogy Topic: 1In this abstract the development of vertical power transistors utilizing bulk GaN substrates with breakdown voltages of 1200V or higher, normally-off operation, and a drain current rating of 100A is proposed. These devices will feature vertical current flow, avalanche ruggedness, and a wide operating temperature range (-55 to 150°C). The target specific on-resistance for the transistor is 30x low ...
SBIR Phase II 2013 Department of EnergyARPA-E -
Faster Optical Modem for Underwater Data Acquisition
SBC: SA PHOTONICS, LLC Topic: NGA182001SA Photonics’ Optical Navigation and Ranging (ONAR) system is an interrogative system that operate underwater in wavelength range of blue/green (450-540 nm) and enables navigational correction to IMU based dead reckoning navigation. The location based beacons are battery operated and have operational life span of over one year. The system is designed to operate in on demand burst mode so that no ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Asynchronous Active 3D Imaging
SBC: SCIX3 LLC Topic: NGA183001Recent advances in LiDAR, detector, and airborne systems technology have opened the door to small, high-performance, and significantly lower-cost alternatives over currently deployed airborne LiDAR imaging systems. CSLabs’ proposed initiative leverages modeling and simulation (M&S) to evaluate the efficacy of new approaches with the potential to disrupt the existing LiDAR imaging paradigm. Where ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Asynchronous Multi-transmitter Multi-aperture Synthetic 3D Imaging System
SBC: VOXTEL, INC. Topic: NGA183001Traditional active 3D imaging systems, such as airborne and terrestrial lidar scanners, use a transmitter and receiver typically co-located on the same platform and connected in synchronous communications. However, recent advances in laser, detector, and airborne systems technology have opened the door to smaller, higher-performance and significantly lower-cost airborne lidar systems in which it i ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Automating Procedural Modeling of Buildings from Point Cloud Data
SBC: DIGNITAS TECHNOLOGIES, LLC Topic: NGA183002Newer techniques in data collection such as Lidar and photogrammetry can provide large quantities of accurate and up-to-date source data models in operational areas, but transforming this often massive amount of raw source data into a lightweight 3D representation that can be quickly consumed by defense customers using a web browser or mobile devices remains a challenging problem. While point clou ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
A Multi-Branch Network for Automated VNIIRS Assessment of Motion Imagery
SBC: TOYON RESEARCH CORPORATION Topic: NGA191003Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Collaborative Recommender System for Spatio-Temporal Intelligence Documents
SBC: NUMERICA CORPORATION Topic: NGA191005US military and intelligence agencies have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. Thus, there is an important need for recommender system technology that pushes relevant un-queried data to analysts through automation and machine learning technique ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Collaborative Recommender System for Spatio-Temporal Intelligence Documents
SBC: RAJI BASKARAN LLC Topic: NGA191005NLP pipelines available today are getting robust for general language modeling purposes. But domain-specific data, abbreviations and lingos, and text about time or space still need a lot of tuning and training that are well beyond application of standard tool sets. Deep learning for recommendation engines is quite new, and all recommender systems, in particular for specially trained users, tend to ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Automating the Semantic Labeling of Trajectory Data
SBC: INTELLIGENT MODELS PLUS INC. Topic: NGA191006Advances in location-acquisition and mobile computing techniques have generated massive spatiotemporal trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Moreover, recent research has tabbed learning of how to automatically explain and anticipate both the observable and abstract trajectories as one of the likely keys to building t ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency