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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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Graphical Methods for Discovering Structure and Context in Large Datasets
SBC: MAYACHITRA, INC. Topic: NGA203005In this proposed Phase II effort we will implement a software framework that will reduce the time required to annotate large image/video datasets by a factor of 100x while also reducing the data necessary to train state of the art computer vision models by up to 80%. Our strategy combines several elements and ideas. First, we have developed a sub-tile based a priori theory of how and why CNNs can ...
SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency -
HIGH-SPEED ELECTRO-OPTIC SHUTTER
SBC: TP ENGINEERING SERVICES, LLC Topic: NGA212001In Phase I we developed and demonstrated a bi-directional, monolithic, High-Speed, Electro-optic shutter for Range Gated Imaging. While meeting the majority of the key performance parameters for Range-Gated Imaging at high Pulse Repetition Frequency, improvements can be achieved in transmission, contrast and reliability. The Phase Ii activity begins with a upgraded Electro-optic Shutter incorpora ...
SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency -
Seeing the World in Real-Time with Automated Land Use Monitoring
SBC: IMPACT OBSERVATORY INC Topic: OSD221D04Impact Observatory recently demonstrated production of the world’s first fully automated time series of annual global land use land cover (LULC) maps at 10m resolution using deep learning algorithms applied to Sentinel-2 satellite imagery. We propose to develop an AI-powered prototype system for automated mapping and change monitoring of the world that can be applied continuously, in near real-t ...
SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Bounding generalization risk for Deep Neural Networks
SBC: Euler Scientific Topic: NGA20A001Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...
STTR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency -
SANDMAN: Synthesizing Activities and Narrative Descriptions from MOVINT through Active iNference
SBC: APTIMA INC Topic: NGA203001Advances in location acquisition and remote sensing have resulted in explosive growth of spatial trajectory data, which capture the mobility of diverse entities. Intelligence analysts need technologies that can provide automated assistance regarding the detection, understanding, and sharing of salient, culturally-informed activities from this mover intelligence (MOVINT) data. Aptima and PatchPlus ...
SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Graphical Methods for Discovering Structure and Context in Large Datasets
SBC: MAYACHITRA, INC. Topic: NGA203005The ubiquity of image sensors for data collection creates a glut of data, which leads to bottlenecks in the processing capabilities of modern systems. In order to process this data, meticulously labeled datasets are required and that must be reviewed by humans in order to guarantee state-of-the-art performance. In this effort we endeavor to create a system that can automatically exploit salient in ...
SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Novel Large Aperture and Fast of Electro-Optical Shutter
SBC: PHOTONWARES CORP Topic: NGA212001Photonwares proposes to develop a novel large aperture and fast EO shutter capable of meeting the NGA requirements for laser-based remote sensing applications. The clear aperture can be up to 25mmx25mm while the transition time is shorter than 10ns and the repetition rate can reach over 1MHz with a high on/off contrast ratio. The design is based on our over 20 years of commercial expertise on Pock ...
SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency -
OPTICAL SHUTTER FOR ACTIVE RANGE-GATED ELECTRO-OPTIC IMAGING
SBC: TP ENGINEERING SERVICES, LLC Topic: NGA212001TP Engineering personnel have extensive experience with electro-optic systems and high Pulse Repetition Frequency (PRF) Laser systems. We have detailed knowledge of Pockels cell systems enabling active gated imaging through foliage at PRF 100 kHz PRF. Such systems can dramatically improve and protect Geiger-mode LIDAR by both controlling the transmitter output and gating out unwanted return lig ...
SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Dynamic Parameter Selection for Community Detection Algorithms (Graph Networks)
SBC: Arete Associates Topic: NGA212002In the pattern of life problem space, data is often represented via mathematical graphs, in which a variety of algorithms may be employed to conduct semi-autonomous analysis. While successful empirical application of graph-domain algorithms on ABI problems has been achieved, most of these algorithms require a tuning parameter, which is often set heuristically in real-world scenarios. Arete has dev ...
SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Optimize Recognition Algorithms and Classifiers by Learning to Explore (ORACLE)
SBC: APTIMA INC Topic: OSD221003Commercial imaging satellites capture the majority of the planet’s surface every day, generating millions of images. Searching such data for specific objects of interest is extremely difficult to do manually without automated computer image analytics. NGA is seeking a novel scientific formalism and tools for training overhead image detectors on rare and new objects of interest, for which large, ...
SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency