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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. In-Field Magnetometry for Determination of Lithium Battery SOC

    SBC: TDA RESEARCH, INC.            Topic: 23PH3

    By 2030 the entire lithium-ion battery chain, from mining through recycling, is expected to reach a value of $400 billion and a market size of 4.7 TWh. LiB are used in personal electronic devices, e-bikes, tools, green-power storage and electric vehicles. Individual cells are commonly collected into packs or modules to provide the power required for automotive operation. The operational capability ...

    SBIR Phase I 2023 Department of Transportation
  2. A Low-Cost High-Capacity Portable Stormwater Treatment System for Emerging Contaminants

    SBC: TDA RESEARCH, INC.            Topic: 23FH1

    The State Departments of Transportation (DOTs) have limited right-of-way (ROW) to construct stormwater treatment controls. Hence innovative self-contained portable stormwater treatment systems are needed to reduce impacts on streams, and other waters; recreation facilities, and habitat by addressing emerging stormwater pollutants, particularly the suspended and dissolved pollutants from highway co ...

    SBIR Phase I 2023 Department of Transportation
  3. CHATMAN Phase II

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the False Alarm Rate (FAR) of Automated Target Recognition (ATR) algorithms for Synthetic Aperture Radar (SAR) imagery is crucial for Intelligence, Surveillance, Reconnaissance (ISR) and precision target engagement missions. While modern Deep Learning (DL) ATR networks have demonstrated advanced predictive capabilities and generalization for SAR imagery, they lack spatial awareness, resul ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  4. Low-cost Diagnostic for Animal and Zoonotic Diseases

    SBC: TDA RESEARCH, INC.            Topic: DHS221011

    There is a lack of specific, low-cost, rapid, sensitive, fieldable detection systems for animal/zoonotic disease that can simultaneously test for multiple diseases in a single test. State of the art field-detection kits for animal diseases consist mainly of ELISA test kits and PCR devices. However, both these techniques can only test for a single disease per test, thus screening for multiple disea ...

    SBIR Phase II 2023 Department of Homeland SecurityCountering Weapons of Mass Destruction
  5. Heuristic-Optimized Analysis of Xmissions (HOAX)

    SBC: SONALYSTS INC            Topic: DHS221001

    The US Coast Guard (USCG) Search and Rescue (SAR) program’s mission is to prevent loss of life in every situation where actions or resources could possibly be brought to bear. Because of this serious obligation, the USCG expends resources to pursue all distress notifications until they can be identified as a hoax. Sector Communications Unit (CU) watchstanders typically spend 12- hour watches lis ...

    SBIR Phase I 2022 Department of Homeland Security
  6. DHS22.1SBIR Topic 221-004_Mutualink Proposal no. 22-410

    SBC: MUTUALINK, INC.            Topic: DHS221004

    Everything over IP and wide area cellular networks has not entirely solved the interoperability issues found in public safety communications. Prioritized public safety communicators are not able to connect with one another across major wireless carriers.We propose a systematic approach to identify an architecture and a set of standardized protocols forming a platform of interoperability. The purpo ...

    SBIR Phase I 2022 Department of Homeland Security
  7. Low-cost Diagnostic for Animal and Zoonotic Diseases

    SBC: TDA RESEARCH, INC.            Topic: DHS221011

    There is a lack of specific, low-cost, rapid, sensitive, fieldable detection systems for animal/zoonotic disease that can simultaneously test for multiple diseases in a single test. State of the art field-detection kits for animal diseases consist mainly of ELISA test kits and PCR devices. However, both these techniques can only test for a single disease per test, thus screening for multiple disea ...

    SBIR Phase I 2022 Department of Homeland SecurityCountering Weapons of Mass Destruction
  8. Embedded Credential Protector (ECP) for Frontline Credential Verification

    SBC: INTELLIGENT PAYLOAD SOLUTIONS, INC.            Topic: DHS211008

    Department of Homeland Security (DHS) frontline personnel face enormous challenges to identify counterfeit State licenses in an operational setting. With printing technology continuing to advance and become more affordable, it is no surprise that United States Customs and Border Protection (CBP) Fraud Document Analysis Unit (FDAU) has seized an exponentially increasing number of high-quality count ...

    SBIR Phase II 2022 Department of Homeland Security
  9. Scene Geometry Aided Automatic Target Recognition (ATR) for Radar

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  10. Live and Continuous Monitoring of Metal Cylinders and Tanks using Distributed Carbon Nanomaterial-based Sensing Networks

    SBC: MCET TECHNOLOGIES LLC            Topic: 22PH1

    This SBIR effort proposes using live and continuous monitoring of metal tanks, pressure vessels, and pipelines using carbon nanomaterial-based sensing skins to detect excessive physical strains, cracks, and to inspect impact damage. The proposed research and development work leverages 15+ years of fundamental research. The key objective is to advance the TRL level and the scalability of carbon nan ...

    SBIR Phase I 2022 Department of Transportation
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