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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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Platform Agnostic Data Storage Infrastructure
SBC: BLACK CAPE, INC. Topic: SOCOM201001US Special Operations Command (SOCOM) is increasingly reliant on technology to underpin critical operations integral to our national security and to compete against great powers on the technological field of battle. As adversaries, including peer competitors, invest and operationalize technology to degrade Special Operations Force’s (SOF) mission performance, USSOCOM must make corresponding inve ...
SBIR Phase II 2020 Department of DefenseSpecial Operations Command -
Learning traffic camera locations using vehicle re-identification
SBC: Arete Associates Topic: NGA201005In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...
SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Vehicle Reidentification-Aided Network Topology Inference (VRANTI)
SBC: Systems & Technology Research LLC Topic: NGA201005Systems & Technology Research (STR) proposes to develop Vehicle Reidentification-Aided Network Topology Inference (VRANTI), a novel system for estimating proximity network graphs of traffic cameras to facilitate intelligence applications such as tracking and monitoring of traffic systems. Network inference will be performed using statistical analyses of features extracted from camera video feeds, ...
SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Bounding generalization risk for Deep Neural Networks
SBC: Euler Scientific Topic: NGA20A001Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels. In an ...
STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Tactical Sensor Open Standards Integration
SBC: Trenchant Analytics LLC Topic: SOCOM202001TAC proposes to conduct a feasibility study into a solution that streams open standard Tactical Common Operating Picture (COP) data from a range of applications on handheld devices (such as the Tactical Assault Kit and National Geospatial-Intelligence Agency’s Mobile Awareness GEOINT Environment) to operational command systems, and this solution will effectively extend the reach of those devices ...
SBIR Phase I 2020 Department of DefenseSpecial Operations Command -
Handheld Hidden Chamber Detection
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: SOCOM173004A hidden chamber in a room may contain various articles including electronics, weapons, people, and objects of interest. Detecting hidden chambers is critical for Special Forces. The gated LFMCW MIMO SAR based hidden chamber detector developed under this program is not only low SWaP and handheld, but has adequate working range. It will provide hidden chamber detection, behind wall human and object ...
SBIR Phase II 2020 Department of DefenseSpecial Operations Command -
Handheld Hidden Chamber Detection
SBC: TIALINX, INC. Topic: SOCOM173004TiaLinx’s Proposed Eagle10-W is an ultra-wideband (“UWB”) radio frequency (RF) sensor that uses advanced computer vision algorithms, state-of-the-art computer processor technologies, and has a fully integrated display unit.
SBIR Phase II 2020 Department of DefenseSpecial Operations Command -
Hybrid Machine Learning Approaches for Radiation Signature Identification
SBC: RADIATION MONITORING DEVICES, INC. Topic: NGA192002To improve the identification and detection of radio-logical materials, we propose a hybrid supervised learning and unsupervised machine learning approach to reduce the false positive rate, increase the accuracy and throughput, and augment the capabilities of the human operators. At the end of the Phase I, we will have a machine learning algorithm that is trained to recognize a variety of nuclear ...
SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
TeleSculptor Multiplex: Fusing Multiple FMV Feeds in 3D
SBC: KITWARE INC Topic: SOCOM201003Multiple concurrent FMV feeds can provide useful context during special forces missions but the flood of data from disconnected viewpoints can dramatically increase cognitive load on SOF operators. Substantial network bandwidth is also consumed by streaming multiple concurrent video feeds with highly redundant content. Kitware proposes TeleSculptor Multiplex, an approach to combine multiple FMV fe ...
SBIR Phase I 2020 Department of DefenseSpecial Operations Command -
Multi-FMV Fusion 3D Capability
SBC: TOYON RESEARCH CORPORATION Topic: SOCOM201003Toyon Research Corp. proposes a feasibility study including all promising techniques for enabling SOCOM’s desired Multi-FMV Fusion 3D Capability, which is intended to reduce operator cognitive burden and enhance multi-source surveillance data exploitation. Key topics to consider include multi-platform FMV registration and fusion, 3D model reconstruction, fused video rendering, and artificial int ...
SBIR Phase I 2020 Department of DefenseSpecial Operations Command