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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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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 -
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 -
Aircraft Detection 360 Camera and Microphone Array
SBC: LINESPECT LLC Topic: 9402Unmanned aerial systems efficiently collect meteorological data for weather forecasting. Under Part 107 regulations, the FAA currently limits flights to 400 feet altitude but could grant a waiver if the applicant can demonstrate safe equipment and operations. By defining a protected area of operations, the applicant can switch the requirement from visually observing the UAV to detecting manned air ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Rapid detection of fish species and quality in the marketplace
SBC: SAFETYSPECT INC Topic: 9205"With increased seafood imports and limited monitoring, fraud and deception in seafood marketing is a growing safety and quality concern. The flesh of many fish species is similar in taste and texture and, therefore, it is difficult to identify species in fillet form. SafetySpect is developing a tabletop system incorporating multimode spectroscopy for real-time quality, adulteration and traceabili ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
A Tide To Table Traceability and Marketing System for Shellfish Aquaculture.
SBC: Shellfish Solutions Inc. Topic: 9101In 2017 the CDC estimated 35,000 American got sick from Vibrio parahaemolyticus transmitted by shellfish--a 54% increase. However, according to the co-chair of the Interstate Shellfish Sanitation Commission, “Our current system of traceback is inadequate.... Records are lost. Handwriting is illegible. More than half of all traceback investigations fail because the information in the value chain ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
OPEN WORLDS NOAA Portal
SBC: MICHIGAN AEROSPACE CORP Topic: 9302Many people recognize how critical it is to understand our weather, climate, and environment. Educators already use NOAA data and models in working with students and their communities as part of their teaching and outreach. With the exponential growth in data, however, many of them struggle with accessing and managing that data. Evolving data formats and computing requirements make it very challen ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Machine Learning for Risk Assessment using Satellite and Aerial Imagery
SBC: KRAENION LABS LLC Topic: 9503Kraenion is an AI company developing Machine Learning and Active Learning technology to an-alyze large 2D and 3D multi-spectral datasets of importance to public safety and national secu-rity. Our deep learning models and statistical vision algorithms process planet-scale satellite image datasets and security critical CT and X-ray imagery. Kraenion’s Vision Engine platform includes active learnin ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Developing a forecasting model for ocean visibility through crowdsourced data
SBC: DiveViz LLC Topic: 9302The DiveViz platform being developed through this SBIR will communicate accurate real-time and forecasted ocean visibility reports. It is a prognostic tool that will lead to more coordinated and timely responses to high visibility events for the recreational, commercial, scientific, and military diving communities and improve advanced activity planning for all ocean activities. The primary impedim ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Hardened Encryption Routing to Mitigate External Susceptibility
SBC: Physical Optics Corporation Topic: DHS201001To address the DHS's need for security of multimedia messages from the public to the Next Generation 9-1-1 (NG9-1-1) Public Safety Answering Point (PSAP) Emergency Communications Cybersecurity Center (EC3) within NG9-1-1 Emergency Service Internet Protocol Networks (ESINets), Physical Optics Corporation (POC) proposes to develop a new Hardened Encryption Routing to Mitigate External Susceptibility ...
SBIR Phase I 2020 Department of Homeland Security -
Blockchain-based Anti-Spoofing and Integrity Protection
SBC: INTELLISENSE SYSTEMS INC Topic: DHS201002To address the DHS need for new remote sensor data protection and anti-spoofing techniques, Intellisense Systems, Inc. proposes to develop a new Blockchain-based Anti-Spoofing and Integrity Protection (BASIP) system. This proposed BASIP is based on redactable blockchain-based data protection and challenge-response-based spoof detection. The BASIP will offer high resilience to sensor spoofing and m ...
SBIR Phase I 2020 Department of Homeland Security