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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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Advanced Integrated CMOS Terahertz (THz) Focal Plane Arrays (FPA)
SBC: ALPHACORE INC Topic: OSD222D02Existing THz devices have not yet provided all the imaging functionalities required to fulfill non-destructive imaging and remote sensing applications. Most of the THz imaging and spectroscopy systems utilize single-pixel detectors, which results in a severe trade-off between the measurement time and field-of-view. Lack of large-format (many-pixel) sensor arrays is one of the major hurdles for ...
SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Enhanced Modeling and Simulations of Hypersonics
SBC: SPECTRAL SCIENCES INC Topic: NGA203002The conditions encountered by hypersonic vehicles are complex due to the non-linear, strong interaction between the flow field environment and vehicle. Successful modeling requires multi-physics capabilities that can properly take into account high-temperature gas dynamics, which includes excitation of internal energy modes, finite-rate gas chemistry, turbulent flow, and complex plasma physics, ...
SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency -
AI and PONS for Object Identification and Annotation
SBC: PROMETHEUS INC. Topic: NGA203003To attack the challenge of object identification and annotation across diverse families of image data, Prometheus and Raytheon will implement a software toolkit based on our new mathematically–based AI tool. The AI input will be matrix coefficients resulting from the unique Prometheus-developed energy-spreading transform, PONS, the Prometheus Orthonormal Set. PONS is currently in use by both the ...
SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Orbital Insight Synthetic Data for Computer Vision in Remote Sensing
SBC: Orbital Insight, Inc. Topic: NGA201001As the Intelligence Community’s experts in geospatial analytics, the National Geospatial-Intelligence Agency (NGA) has a long-standing interest in conducting research and development in analyzing overhead imagery. With the commercialization of space, the need to analyze greater volumes of imagery much more quickly continues to progress. Fortunately, recent advances in computer vision (CV) have m ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
Clarifai proposal- Synthetic Data for Computer Vision
SBC: CLARIFAI, INC. Topic: NGA201001One of the most pressing problems at the forefront of machine learning and computer vision research is image recognition when high quality labeled data is difficult to acquire, typically due to the prohibitive cost of data acquisition and annotation. Clarifai has teamed with L3Harris to combine their unparalleled experience in simulating geospatial sensors with our award-winning computer vision ca ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
CREATIVE PERCEPTION: Grey Mattersâ Semi-supervised detection remote sensing prototype algorithm suite
SBC: GREY MATTERS DEFENSE SOLUTIONS, LLC Topic: NGA201003The National Geospatial Intelligence Agency (NGA) requires a state-of-the-art model to quickly find and define new target sets within ever increasing datasets. Grey Matters’ CREATIVE PERCEPTION will provide the NGA with an advanced detection algorithm suite that can be easily upgraded to new target sets with a minimum amount of labeled training data. CREATIVE PERCEPTION, based on a complex sel ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
SKYSHOT: low-shot object detection through spatiotemporal context
SBC: VISION SYSTEMS INC Topic: NGA201004Satellite and airborne platforms provide timely, detailed, and readily available still and full-motion imagery to support U.S. national security. A constant requirement for this type of data is automated object detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. This requirement is made more challenging when a ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
Automated Camera Orientation Recovery Software
SBC: Physical Optics Corporation Topic: NGA201006To address the NGA’s need to fully automate recovery of camera orientation parameters from ground-level imagery, Physical Optics Corporation (POC) proposes to develop new Automated Camera Orientation Recovery Software (ACORS). It is based on a new, multicue combination of algorithms for finding true horizon lines in images. Specifically, the innovation in locating occluded true horizon lines bel ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
Clarifai Proposal- Automating tilt and roll in ground-based photos and video frames
SBC: CLARIFAI, INC. Topic: NGA201006For this proposal, Clarifai would utilize internal expertise in computer vision and deep learning to pursue a CNN to camera orientation estimation. Specifically, we would adapt existing Clarifai models to extract image features and use these features as input to a camera orientation regressor. The horizon filter information might be combined with information from the encoder to produce a joint emb ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
Object Counting using Unified LAtent Representation (OCULAR)
SBC: VADUM INC Topic: NGA191009Vadum will develop and implement a novel, unsupervised deep-learning approach to estimate the number of objects in a SAR image automatically, accurately and with low-latency. The approach learns a unique representation of a SAR image that is resilient to a wide range of SAR artifacts, such as geometric and temporal image misalignments, resolutions, noise and collection geometries. The technique ar ...
SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency