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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Cervical Spine Health Improvement Products

    SBC: Switchbox, Inc.            Topic: DHA18B001

    Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  2. Multi-Functional Nanotube-Based Sensor Array for Detecting Blood Coagulation Defects

    SBC: Innosense Llc            Topic: DHA19A001

    Defense Health Agency (DHA) is seeking a multi-functional diagnostic to determine blood coagulopathy in real time at point-of-care (POC). Blood coagulopathy, resulting in uncontrolled bleeding, is implicated in 80% of operating room deaths and 50% of trau

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  3. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT033

    Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Optimized Higher Power Microwave Sources

    SBC: Epirus, Inc.            Topic: N19AT001

    Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Enhanced Sensor Resource Management Utilizing Bayesian Inference

    SBC: GCAS, Inc.            Topic: N19AT002

    This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

    STTR Phase I 2019 Department of DefenseNavy
  7. Innovations in Designing Damage Tolerant Rotorcraft Components by Interface Tailoring

    SBC: Global Engineering and Materials, Inc.            Topic: N19AT003

    Global Engineering and Materials, Inc. (GEM) along with its team member, the University of Wisconsin-Madison (UW-M), propose to develop printed polymer reinforcement via additive manufacturing to provide patterns at the interlaminar regions in traditional prepreg composites with the goal of improving their interlaminar properties under mixed mode loading. Two key components will be performed under ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Targeted Enhancement of Critical Composite Interfaces using Vertically Aligned Carbon Nanotubes

    SBC: N12 TECHNOLOGIES, INC.            Topic: N19AT003

    Vertically-aligned carbon nanotubes (VACNTs) will be selectively applied at interfaces in laminated composite structures to effect locally the mechanical properties that limit rotorcraft structures, such as fatigue and damage tolerance. In Phase I this work will quantify these effects in CFRP and CFRP/GFRP hybrid coupons. The VACNT material will be transferred directly onto prepreg plies, but also ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Catastrophic Optical Damage Mitigation in Quantum Cascade Lasers by Facet Disordering

    SBC: N2 Biomedical, LLC            Topic: N19AT004

    Quantum cascade laser optical output power is limited by laser facet catastrophic optical damage (COD). In edge-emitting semiconductor lasers COD is a thermal runaway process wherein the front facet of the laser heats under high power operation. This facet heating reduces the semiconductor bandgap which increases the optical absorption and also increases the electrical injection current in the fac ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Process to Mitigate Catastrophic Optical Damage to Quantum Cascade Lasers

    SBC: Pendar Technologies, LLC            Topic: N19AT004

    In this program, we will develop solutions to optimize QCL fabrication processes, such as facet passivation and high thermal conductivity coatings, that will mitigate the reliability issues for high power QCL applications. In phase I, we will first evaluate all concepts and efforts that have been largely investigated for GaAs based high power diode lasers and transfer the knowledge to InP based QC ...

    STTR Phase I 2019 Department of DefenseNavy
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