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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. 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
  2. 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
  3. TRACE – Target Recognition with the Assistance of Artificial Intelligence

    SBC: Intelligent Automation, Inc.            Topic: N18BT033

    Intelligent Automation Inc. (IAI) proposes the design and implementation of the Target Recognition with the Assistance of Artificial Intelligence (TRACE) system that incorporates classical model-based target classification and identification approaches with data-driven machine learning solutions to improve the target classification accuracy. The outcome of the TRACE systems is a set of machine lea ...

    STTR Phase I 2019 Department of DefenseNavy
  4. 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
  5. 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
  6. 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
  7. Nanophotonic Optical Emulator for Complex Electromagnetic Maneuverability (EM) Systems

    SBC: TIPD LLC            Topic: N19AT008

    The radar cross section (RCS) of a platform, such as a ship or a submarine, is of particular importance for the Navy since it allows the detection and identification of the vessel. Minimizing the radar reflection improves the stealth properties of the vessel making it more difficult to detect. The observed RCS can also be used to identify a target by comparing it with a database of known profiles. ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Near-IR Emulator for Complex EM Systems (NICE)

    SBC: N.P. PHOTONICS, INC.            Topic: N19AT008

    The NP Photonics/UMassD team proposes an ultra-compact coherent NIR RCS measurement range. We plan to develop a novel system for rapid 3D printing of nanostructures for emulating complex EM systems, and use coherent NIR light for scaled RCS measurements. In the NIR region, the EM properties of complex RF systems are measurable by reducing the size by factors of magnitude. The advantages of this ap ...

    STTR Phase I 2019 Department of DefenseNavy
  9. 3-Band ps Pulse High Energy Compact Laser System for Marine Wave Boundary Layer Atmospheric Characterization Instrument Development

    SBC: TIPD LLC            Topic: N19AT009

    Gaining a deeper experimental and theoretical understanding of maritime turbulence and laser light propagation in the marine boundary is required to optimize the performance of critical communication and defensive and offensive laser light engagements. Increased understanding of beam propagation through the turbulent flows of the marine layer will help the US Navy improve the performance of beam o ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Comprehensive Surf Zone Modeling Tool

    SBC: DYNAMIC DIMENSION TECHNOLOGIES, LLC            Topic: N19AT010

    The littoral and specifically surf zone regions with breaking waves, bathymetry, weather, currents, tides, obstacles, etc. create a dynamic environment that can be very challenging for conducting operations. Systems are being developed to increase situational awareness in this region, however expensive physical testing to verify performance is limited to specific areas and conditions. To supplemen ...

    STTR Phase I 2019 Department of DefenseNavy
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