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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. 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 CORPORATION            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. POC Blood Coagulopathy Monitor

    SBC: CFD RESEARCH CORPORATION            Topic: DHA19A001

    Traumatic injuries account for 30% of all life years lost in the US and is the leading cause of death for people under 46 years of age. Uncontrolled bleeding or hemorrhage constitute 30-40% of trauma related deaths and are considered to be a major cause o

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  4. 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
  5. Out-of-Oven Aerospace Composites

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: N18BT031

    Large aerospace composite structures currently require autoclaves and ovens to achieve desired performance which are expensive to purchase, costly to operate, and often limit part size and production rate. Ovens and autoclaves rely on convective heating which is inefficient, consumes large amounts of energy, and can be difficult to predict. Alternative cure processes using external heaters or hot ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Carbon Nanotube-Based Heater Coatings for Processing of Thermosetting and Thermoplastic Composites

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N18BT031

    For this research program, Mainstream will collaborate with Colorado State University (CSU) to develop a nanostructured heater capable of curing aerospace grade composites out-of-autoclave (OOA). The use of autoclaves is the primary cost driver in composite manufacturing due to size limitations, long processing times, and inefficient energy usage. Therefore, the Navy is looking to develop a nanost ...

    STTR Phase I 2019 Department of DefenseNavy
  7. 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
  8. 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
  9. 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
  10. 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
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