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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.

  1. A rapid, field-portable sensor for detecting histamine in food.

    SBC: ALLERGY AMULET            Topic: 85

    PROJECT SUMMARYTitle: A rapid field-portable sensor for detecting histamine in food.PD: Mendecki LukaszInstitution: Allergy Amulet Inc.Scombrotoxin poisoning is a leading foodborne illness caused by the consumption of spoiledfish and fishery products containing high concentrations of histamine. Histamine is thereforean indicator of freshness and microbiological quality of many perishable foods. De ...

    SBIR Phase I 2023 Department of Agriculture
  2. Grady's Garden web App in concert with animation content, healthy branded products to improve the health of kids of color who live in underserved communities and are at risk of childhood obesity.

    SBC: GRADY'S GARDEN LLC            Topic: 85

    Poor dietary quality and low fruit and vegetable (FV) intake in particular is an established riskfactor for many chronic diseases; current consumption among children is alarmingly inadequate.Engaging children through school and afterschool settings is a viable strategy to make positivechanges but for transformational and sustainable impact messaging must also reach familiesteachers retail environm ...

    SBIR Phase I 2023 Department of Agriculture
  3. Advancing tissue culture in tree species for use in climate adaptation, breeding, production of cultured tree products

    SBC: FORAY BIOSCIENCE, INC.            Topic: 81

    FORAY bioscience Inc. Phase I USDA-NIFA-SBIR-009301 Topic 8.1 2023PI: Dr. ASHLEY BECKWITHCEO FORAY bioscience IncE-mail: ash@foraybio.comAdvancing tissue culture in tree species for use in climate adaptation breedingproduction of cultured tree products1 Project SummaryDemand for forest products is growing but global forests are shrinking by ~15 billion trees per year.Sourcing inefficiencies exacer ...

    SBIR Phase I 2023 Department of Agriculture
  4. A low-cost snow water equivalent sensor

    SBC: NWB SENSORS INC            Topic: 84

    Project SummaryAccumulated snowpack is a major source of water throughout the United States. Accuratelymonitoring snow on the northern plains is a significant need for streamflow forecasting andreservoir management. This has been demonstrated by the US Army Corp of Engineersestablishment of the Upper Missouri River Basin Plains Snow and Soil Moisture MonitoringNetwork. The availability of a low-co ...

    SBIR Phase I 2023 Department of Agriculture
  5. Low-cost Diagnostic Platform for Aquaculture

    SBC: EMERGINGDX INC            Topic: 87

    EmergingDx Inc. in collaboration with Michigan State University will leverage on-goingprograms and their collective expertise to develop a rapid low-cost multiplexed colorimetricquantitative loop-mediated isothermal amplification (qLAMP) microfluidic based diagnostic devicewith high sensitivity and selectivity for screening reproductive fluids/gametes to be used forbreaking the vertical transmissi ...

    SBIR Phase I 2023 Department of Agriculture
  6. Field-deployable CRISPR-based diagnostics for improved biosecurity in aquaculture

    SBC: SHERLOCK BIOSCIENCES, INC.            Topic: 87

    PROJECT SUMMARYTitle:Field-Deployable Crispr-Based Diagnostics For Improved Biosecurity In AquaculturePD:Fiore Elizabeth Institution:Sherlock Biosciences Inc.Rapid and accurate health assessment of farmed animals is critical to US aquaculture andagriculture. It is hindered by the cost time and technical expertise required for standard diagnosticmethods resulting in reduced capacity for disease con ...

    SBIR Phase I 2023 Department of Agriculture
  7. Microwave Radiator for Curing Polymer Composites (MRCPC)

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT006

    The Navy requires a low-cost, industrial microwave system for curing aerospace composite materials. In this Phase I STTR proposal, Physical Sciences Inc outlines the development of a microwave applicator that uses low-cost RF sources and can be installed in heritage autoclaves for curing large aerospace composite parts. This technology has the potential to improve cured mechanical properties, and ...

    STTR Phase I 2023 Department of DefenseNavy
  8. Large-scale Meta-optic Optimization

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT008

    Physical Sciences Inc. (PSI), in collaboration with Stanford University, will develop an electromagnetic simulation package used for the development and optimization of large-scale meta-optics, and demonstrate the functionality of the package in the long-wave infrared (LWIR). Our team will combine recent progress in physics-augmented deep learning neural networks with rigorous far-field diffractio ...

    STTR Phase I 2023 Department of DefenseNavy
  9. Gradient index for reduced integration costs (GRIN-RICH)

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT011

    Physical Sciences Inc. partnered with Alfred University will develop an F/1, 90 degree full field of view MWIR/SWIR gradient index (GRIN) compound lens for reduced size and lens integration cost. The element-by-element achromatization and athermalization of GRIN provide useful performance improvements to GRIN systems. Element count is reduced (= 2), diversity of optical material needed is fixed, a ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Sensor Modality Translation through Contrastive Deep Learning

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT013

    Physical Sciences Inc. (PSI), in collaboration with the University of Rhode Island, proposes to develop an advanced algorithm suite for data translation across sensing modalities to support the development of automated target recognition and classification algorithms for Unmanned Underwater Vehicles. The proposed Deep Diffusion Sensor Translation (DDST) leverages recent advancements in generative ...

    STTR Phase I 2023 Department of DefenseNavy
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