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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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Language Learning Experience in Virtual Reality
SBC: A P Ventures, LLC Topic: 91990019R0011The team will develop a prototype of a virtual reality environment for high school students who are learning a foreign language. Students will become active participants in virtual scenarios using the target language of instruction (Russian in Phase I), with listening comprehension, vocabulary acquisition and recall, and grammar development occurring implicitly in simulated real-world context. At ...
SBIR Phase I 2019 Department of EducationInstitute of Education Sciences -
Food Safety in the 21st Century: Rapid Toxin Detection in the Field
SBC: PathSensors, Inc. Topic: 85Ubiquitous in U.S. news cycles are reports of foodborne illness due to products contaminatedwith foodborne pathogens including Salmonella spp. Listeria monocytogenes E. coli H7:O157and even Clostridium Botulinum.The National Outbreak Reporting System (NORS)curated bythe Center for Disease Control (CDC) reports that between 2010 and 2016 these four foodbornepathogens caused over 1400 outbreaks and ...
SBIR Phase I 2019 Department of Agriculture -
Precision Time-to-Harvest Forecasting of Specialty Crops
SBC: GEOVISUAL TECHNOLOGIES INC. Topic: 813Specialty Crop production margins are eroded by input costs impacts of weather pests anddiseases and market price fluctuations. Producers routinely overproduce to hedge against lossesfrom environmental impacts and ensure sufficient supply to meet retail account demand furtherreducing their average margins. If they had greater certainty in advance of how much they willproduce and when it will be ha ...
SBIR Phase I 2019 Department of Agriculture -
Integrating Agrivoltaics: Studying the synergistic relationship between transparent solar panels and horticulture
SBC: Arizona Green (Division of TeachSharp LLC) Topic: 812Making production of tilapia (and other warm-water fish) financially viable and sustainable on asmall-farm scale depends on several factors. The number-one constraint is the need to maintaino o tropical water temperatures (70 to 100 F) for the fish. To address this need our research focuseson heating the water in individual fish tanks via a closed-loop heat-transfer system usingrenewable energy. O ...
SBIR Phase I 2019 Department of Agriculture -
Improving bovine embryo quality and yield with novel media
SBC: MEMBRANE PROTECTIVE TECHNOLOGIES, INC. Topic: 83Embryo transfer is one of the tools a livestock producer can utilize to rapidly increase the genetic gainwithin the herd overcome low pregnancy rates during physiological stress or leverage high qualityfemales by producing multiple offspring per female (rather than 1/year).The ability to transfer fresh orfrozen embryos is important in dairy and beef cattle reproduction as well as in sheep goats de ...
SBIR Phase I 2019 Department of Agriculture -
Rapid, Multiplexed Detection of Algal Toxins in Shellfish and Seawater
SBC: MBIO DIAGNOSTICS INC Topic: 87MBio Diagnostics is proposing to develop a portable rapid inexpensive technology formore effective detection of harmful algal bloom (HAB) toxins in shellfish.The proposedproduct will help producers and managers get more product to market while ensuringthe safety of this commercially important food supply during HAB events.Shellfish arefilter feeders and can accumulate HAB toxins during blooms.Thes ...
SBIR Phase II 2019 Department of Agriculture -
Video Tagging and Interpretability Rating (VTIR) Toolkit Assisting VNIIRS Ground Truth Experiment
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: NGA191002The Video National Imagery Interpretability Rating Scale (VNIIRS) defines different levels of interpretability based on the types of tasks an analyst can perform with videos of a given VNIIRS rating. DoD users of motion imagery rely on NGA to rate the interpretability of motion image clips and understand the factors affecting the VNIIRS of operational imagery. To develop and validate and verify an ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
VAST-CQA Video Annotation and Statistics Toolkit for Crowdsoucing Quality Assessment
SBC: Intelligent Automation, Inc. Topic: NGA191002Intelligent Automation Inc. (IAI), along with our collaborators propose to develop a video tagging and statistics toolkit called VAST-CQA (Video Annotation and Statistics Toolkit for Crowdsourcing Quality Assessment). The key idea of the proposed approach is to provide a video quality annotation toolkit which reduces the effects of bias, subjective assessment and other human factors using a set of ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
VSIIR: VNIIRS Semantics Inference for Interpretability and Rating
SBC: Intelligent Automation, Inc. Topic: NGA191003Video analysts have to sift through voluminous video data to extract information of interest. The NGA uses the VNIIRS scale to rate videos with subjective interpretability. VNIIRS rating provides a meaningful way of organizing video browsing and search. Manually annotating videos with VNIIRS rating however, is very tedious. We propose to develop an automated tool which uses several cues such as mo ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Collaborative Recommender System for Spatio-Temporal Intelligence Documents
SBC: NUMERICA CORPORATION Topic: NGA191005US military and intelligence agencies have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. Thus, there is an important need for recommender system technology that pushes relevant un-queried data to analysts through automation and machine learning technique ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency