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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. Data-Parallel Analytics on Graphics Processing Units (GPUs)

    SBC: Royal Caliber            Topic: ST13B004

    We are proposing to enable automated discovery of machine learning pipelines on graphs using our system of accelerated primitives. While our existing technology greatly reduces the need for users to understand super-computing, it still requires expertis...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. Scalable Wideband Autonomous RF Mapping MANET

    SBC: Silvus Technologies, Inc.            Topic: SB162011

    Electromagnetic spectrum (EMS) awareness continues to be a critical capability for military dominance in the field. The number, dynamics, and types of sources in an increasingly congested RF spectrum has shifted the focus of DoD research away from large ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  3. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: Perceptronics Solutions, Inc.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  4. Advanced Technologies for Reducing Decompression Obligation and Risk

    SBC: CREARE LLC            Topic: SB131004

    Despite over 100 years of research, decompression sickness (DCS) remains the mission-limiting factor in the design and execution of combat diving operations.Divers may spend over an hour decompressing after spending as little as ten minutes at the target depth.While decompressing, divers are limited in vertical mobility, making then susceptible to detection and threatening their survivability.This ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  5. An Autonomous Pallet-Stacking Robot for Field Use

    SBC: Tanner Research, Inc.            Topic: 813

    We propose to develop a lightweight and affordable one-armed autonomous robot to transfer produce from a wheeled transport robot to a pallet. In-field automation improves efficiency by increasing production and/or reducing labor costs by up to $35M/year for California strawberries alone. Our robot will improve health and safety by reducing worker injuries from repeated lifting and by minimizing ch ...

    SBIR Phase I 2018 Department of Agriculture
  6. An Accessible Microfluidic Protoplast Selection and Isolation Tool for Transformation and Gene Editing Workflows

    SBC: Nodexus Inc            Topic: 813

    Improvements in genome engineering tools have enabled unprecedented control over genetic material, allowing for tremendous potential for creating new crop varieties. As the world population climbs, there are increasing demands to efficiently produce and distribute food. This challenge, as well as higher temperatures, drought, flooding, pests, and disease place food security among the top of worldw ...

    SBIR Phase I 2018 Department of Agriculture
  7. SPLAT FAW: An inexpensive mating disruption solution to effectively protect row crops from damaging insecticide-resistant fall armyworms.

    SBC: Isca Technologies, Inc.            Topic: 82

    Summary:The objective of this project is to develop SPLAT FAW, a formulation to disrupt the mating of FAW in corn and other row crops, suppressing the pest's population in the treated area as well as the damage inflicted to the crop. An infestation by FAW can cause 15-73% reductions in corn crop yield, leading to losses between $0.5B and $2B a year. This makes FAW a serious liability for agric ...

    SBIR Phase I 2018 Department of Agriculture
  8. Corn Based Chemistries For Making Renewable Optical Polymers

    SBC: Novol Inc            Topic: 88

    In summary, this proposal will build a route to industrial manufacturing of a commercially viable polymeric material using Corn-based monomers like Isosorbide, test these methods and demonstrate a path to a prototype product. Work presented in this proposal is novel and unique in the following ways:First application of Isosorbide for making optical polymersFirst report of non-brittle Isosorbide po ...

    SBIR Phase I 2018 Department of Agriculture
  9. Phosphatase engineering for microbial production of a high-value organic acid

    SBC: Lygos, Inc.            Topic: 88

    Lygos is developing novel bio-manufacturing processes to valuable chemicals. Our targeted chemicals have existing, large markets of >$250MM per year. Current petroleum-based production of these chemicals has a number of pitfalls. Current chemical manufacturing requires petroleum feedstocks, utilize environmentally damaging processes, achieve low-yields, and have high production costs. In contrast, ...

    SBIR Phase I 2018 Department of Agriculture
  10. Mapping and Predicting Tree Mortality using High-resolution Nanosatellite Data for Improved Forest Management

    SBC: Salo Sciences, Inc.            Topic: 81

    This project will enable forest monitoring at previously inaccessible scales by combining daily, high resolution satellite imagery with deep learning algorithms and extensive field observations. The innovation in this proposal is not in developing any one of the approaches; high resolution imagery has previously been used to map tree mortality, and deep learning has been used for object detection ...

    SBIR Phase I 2018 Department of Agriculture
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