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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: HARP ENGINEERING LLC            Topic: N19AT003

    The performance of a composite material is heavily influenced by the strength and toughness of the interlaminar region, which is the resin rich area between the plies of a fiber reinforced composite. The interlaminar region generally provides a direct path for crack propagation since no continuous reinforcement is present and is often the cause of failure in materials subjected to cyclic loading s ...

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

    SBC: Irglare, LLC            Topic: N19AT004

    The development of a catastrophic optical damage model for quantum cascade lasers describing instantaneous laser damage at high optical power levels is proposed. The model will be validated by comparison to experimental data. Based on obtained results, changes to laser design and laser fabrication resulting in an increased damage threshold will be implemented. The work will ultimately result into ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Quantum Cascade Laser Array with Integral Wavelength Beam Combining

    SBC: Mirios, Inc.            Topic: N19AT005

    Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 µm) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.

    STTR Phase I 2019 Department of DefenseNavy
  10. Homopolar AC Electric Machines for Naval Applications

    SBC: McCoy Consulting, LLC            Topic: N19AT007

    The objective of this proposed effort is to increase the power and torque density of rotating electric machinery for Naval applications by up to 50%. This aggressive goal will be achieved by developing the novel homopolar AC machine (HAM) topology. This relatively un-studied topology relies on solenoidal field and armature coils, making manufacturing simpler than traditional machines. The HAM elim ...

    STTR Phase I 2019 Department of DefenseNavy
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