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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. Image Enhancement and Machine Learning for Improving Man-Portable Targeting Systems

    SBC: EM PHOTONICS INC            Topic: N172102

    Modern DoD applications are benefiting from the proliferation of EO/IR sensor technology. As imagers become cheaper and smaller, they are being more widely deployed for a variety of scenarios. This trend is exemplified by the Navys Future Targeting System (FTS), which will provide laser designation, laser spot imaging, and some target location functions in a single 5.5-pound unit, replacing discre ...

    SBIR Phase I 2018 Department of DefenseNavy
  2. Solid State Additive Manufacturing of Titanium Alloys Using Cold Spray

    SBC: VRC Metal Systems, LLC            Topic: A16AT002

    The US Army needs a method for large scale repair and additive manufacture of Ti-6Al-4V components in support of its light weighting initiative. Cold spray metal deposition technology is a solid-state bonding technique where supersonic powdered metal is deposited on a metallic substrate through adiabatic shearing processes at low temperature. Cold spray offers an ideal solution for the Army’s ne ...

    STTR Phase II 2018 Department of DefenseArmy
  3. ArrayFire-ML: An Accelerated Open Source Machine Learning Primitives Library

    SBC: Accelereyes LLC            Topic: SB132002

    Numerous machine learning frameworks exist, each with highly variable support for accelerated computing (e.g. Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), etc). A library of machine learning primitives could support the many disparate frameworks and boost the advancement of machine learning research and programs, such as those underway in the DARPA Data-Driven Discover ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  4. Enhanced Robustness and Reliability for Free-Space Optical Communication Links Using Spatial Diversity

    SBC: R-DEX SYSTEMS, INC.            Topic: N181027

    R-DEX Systems proposes to team with the University of Southern California to develop the Spatial-Diversity Communication Link (SD-Link), a free-space optical (FSO) communications system for reliable and high-capacity wireless communications. The proposed SD-Link will build on the team's previous published work in FSO communications using spatial diversity and the team's previous STTR collaboration ...

    SBIR Phase I 2018 Department of DefenseNavy
  5. A Novel, Nanostructured, Metal-organic Frameworks-Based Product Loss Prevention Technology in the Oil and Natural Gas Sector

    SBC: FRAMERGY INC            Topic: 17NCER2C

    To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logistical system requires natural gas gathering lines, processing facilities, product storage tanks and lots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermit ...

    SBIR Phase I 2018 Environmental Protection Agency
  6. Phytoremediation of perfluoroalkyl substances (PFAS) via phytoextraction

    SBC: NUTTER & ASSOCIATES, INC.            Topic: 17NCER3A

    NAI has a strategy to identify plant species best suited for proof-of-concept testing for phytoremediation of perfluoroalkyl substances (PFAS) via phytoextraction. Phytoextraction refers to the uptake and translocation of contaminants in the soil by plant roots into the aboveground portions of plants. Once the phytoextraction concepts are proven at the bench-scale (Phase I) and followed with succe ...

    SBIR Phase I 2018 Environmental Protection Agency
  7. 6000297

    SBC: Chip Design Systems Inc.            Topic: AF18AT017

    We propose to develop an innovative concept of the high speed dynamic IRSP that combines components and devices from proven suppliers with novel system-level research topics from CDS and University of Delaware. Having previously built and delivered working LED IRSPs to users gives CDS a unique advantage. In line with system theme of the solicitation, our phase 1 research topics are focused on syst ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Wafer-Level Electronic-Photonic Co-Packaging

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF16AT01

    In phase II work, we will collaborate with Prof. Stefan Preble in RIT and continue to develop large scale hybrid integration and packaging techniques for key active photonic components such as lithium niobate on insulator (LNOI) modulators and modified uni-traveling (MUTC) photodiodes. We will demonstrate a low V, broadband, small footprint LNOI modulator with hybrid Si/LN or SiN/LN waveguide usin ...

    STTR Phase II 2018 Department of DefenseAir Force
  9. Instant k-Space Tomography for Spatial-Spectral Monitoring

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF17AT013

    The Army is frequently forced to operate in hostile climates. Heavy fog, rain, snow, and dust storms can inhibit the performance of tracking technologies such as mid-wave infrared cameras. In such conditions, Army early warning systems are blinded and put personnel and assets at risk.There is a specific need for a degraded visual environment (DVE) penetrative target tracking solution.Radio frequen ...

    STTR Phase II 2018 Department of DefenseAir Force
  10. Novel Robust IR Scene Projector Technology

    SBC: PHOSPHORTECH CORP            Topic: A17AT018

    The objective of this effort is to continue the development of a dual-color MWIR display suitable for use in IR scene projection using a combination of quantum dot (QD) technology and commercial LCD displays. More efficient MWIR emitting core/shell QDs will be developed and fine-tuned during Phase II. The MWIR QDs will be deposited and patterned on a substrate to form 2-color subpixel arrays and t ...

    STTR Phase II 2018 Department of DefenseArmy
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