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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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Development and evaluation of peroxide free fin-fish nursery feeds with active DHA-synthase enzyme (DSe)
SBC: FPN LLC Topic: 93The marine microalgae Chrypthecodinium conhii (C. cohnii) contains high levels of docosahexaenoic acid (DHA) and DHA synthase enzymes (DSe). Finfish have shown de novo synthesis of DHA when fed a C. cohnii product, KoniSap™, developed by FPN LLC. KoniSap™ is unique to the aqua-feed market as it is produced under low temperature and inert gas to prevent lipid oxidation and avoid enzyme denatura ...
SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
Sustainable seed production for North Atlantic kelp aquaculture
SBC: Ocean's Balance Inc Topic: 93Demand for seaweed products has dramatically increased in the U.S.; however, domestic production from both wild harvests and aquaculture operations only supplies 1% of this demand. To meet demand, expansion of seaweed aquaculture is crucial to protect wild populations from extinction by overharvesting, which impacts entire marine ecosystems. Currently, U.S. kelp aquaculture methods rely on wild ha ...
SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
NEXT GENERATION OBSERVATION AND MODELING SYSTEMS
SBC: INNOVIM, LLC Topic: 9503Atmospheric Rivers (AR) transport large volumes of water vapor outside the tropics and, when making landfall, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and significant damage to property and lives. Accurate forecasts of precipitation during landfalling ARs are critical because of their large role in water supply ...
SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration -
Tide to Table Traceability and Marketing System
SBC: Shellfish Solutions Inc. Topic: 9101The Centers for Disease Control estimates Vibrio (parahaemolyticus & vulnificus) causes 80,000 illnesses and 100 deaths in the United States every year, most commonly from eating raw or undercooked seafood such as oysters. However, according to the co-chair of the Interstate Shellfish Sanitation Conference: “Our current [tracking] system…is inadequate.... More than half of all traceback invest ...
SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration -
VAST-CQA: Video Annotation and Statistics Toolkit for Crowdsourcing Quality Assessment
SBC: Intelligent Automation, Inc. Topic: NGA191002The Video-National Imagery Interpretability Rating Scale (VNIIRS) is a task-based scale that reflects observable semantic content in videos. Intelligence agencies such as the NGA use VNIIRS for applications such as efficient storage and retrieval, data browsing, and testing of automated video assessment systems. Existing methods for video quality assessment rely on expert analysts to view and tag ...
SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency -
VSIIR: VNIIRS Semantics Inference for Interpretability and Rating
SBC: Intelligent Automation, Inc. Topic: NGA191003The Video-National Imagery Interpretability Rating Scale (VNIIRS) is a task-based scale that reflects observable semantic content in videos. Intelligence agencies such as the NGA use VNIIRS for applications such as efficient storage and retrieval, data compression and data browsing. Unlike video quality metrics, VNIIRS ratings reflect subjective assessment of semantic content, which may not always ...
SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency -
VMS: Deep Reinforcement Learning for High-fidelity Vehicle Motion Simulation
SBC: Intelligent Automation, Inc. Topic: NGA192004NGA seeks to incorporate Artificial Intelligence (AI) and Machine Learning (ML) into Intelligence, Surveillance, and Reconnaissance (ISR) missions to capture fleeting targets. As such, a large number of dynamic scenes with accurate target motions and behaviors will be needed for training and performance evaluation. The traditional microscopic model-based approach for vehicle activity simulation is ...
SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency -
GeoSearch: Image-based Geolocation using Rank Aggregated Hash Index
SBC: Intelligent Automation, Inc. Topic: NGA203004Intelligence analysts attempting to geolocate ground-level imagery rely on numerous sources of information including reference data of distinct urban and topographical structures which of may be visible from the ground. This matching process is tedious and requires careful identification of topographic features (e.g. ridgelines) and relevant contextual information (e.g. environment type) from both ...
SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency -
Underwater Adhesive for Coral Restoration
SBC: METNA CO Topic: 9204The decline of coral reefs can be feasibly reversed by introducing coral transplants that are stabilized via adhesion to substrates. An adhesive is under development to safely and economically improve the speed and success rate of stabilizing coral transplants. This adhesive comprises a bioactive inorganic and an organic polymer constituent that function synergistically to enable rapid and control ...
SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration -
Algorithms for Look-down Infrared Target Exploitation
SBC: SIGNATURE RESEARCH, INC. Topic: NGA18A001The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...
STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency