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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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Automated Assessment of Urban Environment Degradation for Disaster Relief and Reconstruction
SBC: TOYON RESEARCH CORPORATION Topic: NGA181004Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...
SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Low-shot Using Contextual Knowledge and Ephemeral Search Hierarchy for One-shot Targets (LUCK E SHOT) in Remote Sensing Imagery
SBC: TOYON RESEARCH CORPORATION Topic: NGA181010At a high level, the primary technical objective of the proposed effort is to Identify, obtain, evaluate, and improve datasets; Investigate the use of Meta-Learning to improve the low-shot detection performance of the feed forward network; Extend research in multi-branch multi-domain embedding networks and semantic layouts for low-shot detection in remote sensing imagery; and Develop and implem ...
SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Marburg Virus Prophylactic Medical Countermeasure
SBC: Flow Pharma, Inc. Topic: CBD18A002Through this STTR contract, we propose to evaluate the efficacy of our vaccine, FlowVax Marburg, in nonhuman primates (NHPs). This will be achieved through four Tasks. In Task 1, we will manufacture the vaccine in a quantity sufficient for the animal studies. In Task 2, we will perform MHC genotyping on a representative population of NHPs and, based on results, select a set of MHC-matched NHPs for ...
STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense -
Marburg Virus Prophylactic Medical Countermeasure
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...
STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense -
Photoacoustic Gasses Optical Detector and Analyzer
SBC: Physical Optics Corporation Topic: CBD171004To address the CBD’s need for real-time analytical technology for multicomponent vapor identification and quantification, Physical Optics Corporation (POC) proposes to continue the development of a new Photoacoustic Gasses Optical Detector and Analyzer (PAGODA) autonomous, network-enabled photoacoustic spectrometer (PAS) for the correlation, analysis, and identification of measured spectra. In t ...
SBIR Phase II 2019 Department of DefenseOffice for Chemical and Biological Defense -
MicroLens Hyperspectral Imager for Standoff Chemical Detection
SBC: SURFACE OPTICS CORP. Topic: CBD171002A program to develop a compact, MLA-based, LWIR, full-motion-video hyperspectral imager for chemical detection is proposed. The proposed Hyperspectral Chemical Imaging Sensor (HyCIS) builds upon Surface Optics’ real-time hyperspectral imaging activities, including our 3D full-motion-video spectral imaging (FMV-SI) technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 ...
SBIR Phase II 2019 Department of DefenseOffice for Chemical and Biological Defense -
MicroLens Hyperspectral Imager for Standoff Chemical Detection
SBC: SA PHOTONICS, LLC Topic: CBD171002SA Photonics is please to submit the proposal for the HawkEye compact LWIR hyperspectral imaging system. HawkEye leverages SA Photonics previous visible, SWIR, and LWIR programs to result in a compact, hand held, battery operated hyperspectral imager in a low cost design approach. Furthermore, HawkEye will leverages SA Photonics expertise in warfighter body worn equipment and ground troop personal ...
SBIR Phase II 2019 Department of DefenseOffice for Chemical and Biological Defense -
Signal Matching via Computationally Efficient Hashing
SBC: VADUM INC Topic: NGA172003Vadum will develop and demonstrate a software tool for rapid, accurate matching of time-series data to a previously collected database. The Clustered, Shingled Hashing of Random Projections (C-SHARP) tool maps a library of time series data to a compact database of fingerprints. The tool enables efficient queries for matches to a new time series by identifying fingerprint similarity. To support dif ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Advanced Image Segmentation for Radar Imagery
SBC: ELECTROMAGNETIC SYSTEMS, INC. Topic: NGA172004Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture. SAR segmentation can be applied to a number of areas: Intellig ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Conflation of 3D Foundation Data
SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED Topic: NGA172007NGA seeks a solution to provide highly accurate foundation data of buildings, similar features, and linear structures by conflating information from multiple images and contributed content. Our solution “AMCON Geo” (Automated Multi-source Conflation, Geospatial) is a framework for combining multiple sources together to improve overall relative and absolute accuracies of the data, and increase ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency