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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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Reinforcement Learning with Intelligent Context-based Exploration (RL-ICE)
SBC: SOAR TECHNOLOGY INC Topic: SCO182006This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...
SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense -
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 -
QUINN (Quantum INspired Neural Networks)
SBC: SOAR TECHNOLOGY INC Topic: SCO183001QUINN (Quantum INspired Neural Networks) is a cybersecurity implementation to be deployed alongside a machine learning system (especially a reinforcement learning, active learning, and computer vision system) to harden said system from both standard generative adversarial attacks (noise injection) and cyber-physical attacks. This protection is provided by three unique components that perform attac ...
SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense -
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 -
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 -
Developing and Improving Commercial Marine Algal Culture in the United States
SBC: Maine Fresh Sea Farms, LLC Topic: 811FMaine Fresh Sea Farms (MFSF) will build a multi-species, multi-season prototype farm with the goal of having crops of fresh sea vegetables available throughout the year. What isn’t utilized fresh will be dried for longer-term storage and used in other products. Our team will gather data on water quality, nutrients, light levels, and hydrodynamics to assemble profiles of key parameters that deter ...
SBIR Phase II 2015 Department of CommerceNational Oceanic and Atmospheric Administration -
APU Silencing Technology Development
SBC: GREAT LAKES SOUND & VIBRATION INC Topic: OSD10EP3The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
FieldOps: A Unified Approach to UGV Interface Design, Sensor Data Compression, and Supervisory Control Based on Fields of Safe Travel
SBC: Quantum Signal LLC Topic: OSD13HS3This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory con ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense