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Award Data

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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. Data Analytics Tools for the Automated Logistics Environment (ALE)

    SBC: MOSAIC ATM, INC.            Topic: N191007

    The ALE Analytics Application (ALE AA) is a tool enabling high-end analytics using thousands of hours of in-flight performance data to predict and prevent failures before they happen. We are coordinating with KBRwyle to apply machine learning techniques using the Hawkeye Flight E-2D Integrated Analytics tool. Mosaic will capture requirements through stakeholder engagement, prioritize use cases, de ...

    SBIR Phase I 2019 Department of DefenseNavy
  2. Automatic Threat Radar Waveform Recognition

    SBC: AZURE SUMMIT TECHNOLOGY, INC.            Topic: N191011

    As sensors become more software definable, the ability to add additional capabilities to them becomes desirable as SWaP is always a premium, especially on airborne platforms – both manned and unmanned. The same can be said for apertures. The prevailing standard is that each sensor has its own aperture. In reality, that does not have to (and should not) be the case. In the high-band and low-band ...

    SBIR Phase I 2019 Department of DefenseNavy
  3. Automatic Threat Radar Waveform Recognition

    SBC: RDRTEC INCORPORATED            Topic: N191011

    RDRTec proposes to design, develop, and demonstrate feasibility and benefit of adding automatic threat and friendly radar waveform detection techniques to the Common RAdar Collision Avoidance System (C-RACAS). C-RACAS is designated the AN/ZPY-9 and is a part of the future Triton Integrated Functional Capability (IFC) 5 configuration. The C-RACAS has three C-Band Active Element Scanned Array (AESA) ...

    SBIR Phase I 2019 Department of DefenseNavy
  4. Mid-Wave Infrared Polarization-Maintaining Single Mode Fiber

    SBC: IRFLEX CORP            Topic: N191012

    The proposed work will design, develop and demonstrate the feasibility of an innovative approach for an infrared polarization maintaining single mode fiber (PM-SMF) solution that operates simultaneously throughout the mid-wave infrared (MWIR) spectrum (2-6 micron). This novel PM fiber will be designed on Photonic Crystal Fiber (PCF) to offer endlessly single mode in the MWIR and large mode area to ...

    SBIR Phase I 2019 Department of DefenseNavy
  5. Maritime Agile Intelligent Data Exploitation Network (MAIDEN)

    SBC: COLVIN RUN NETWORKS, INC            Topic: N191013

    Colvin Run Networks, LLC presents the Maritime Agile Intelligent Data Exploitation Network (MAIDEN), extending and integrating leading commercial off-the-shelf and open source analytical tools to support mission objectives with enhanced situational awareness. MAIDEN is built on a scalable and highly flexible analytics architecture supplemented with proven iterative data mining techniques to unlock ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Maritime Big Data Analytics

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: N191013

    The success of military operations depends on operator’s ability to consume and assess relevant tactical data. The amount of data available to a P-8A operator is growing exponentially. While this increased volume and variety of data provides more DCL (Detection, Classification and Localization) opportunities, it also increases the risk of cognitive overload for operators. This is especially true ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Brightness Scaling of Quantum Cascade Lasers

    SBC: IRGLARE LLC            Topic: N191014

    In response to the Navy SBIR Topic N19-014, IRGLARE is pleased to propose the development of 4.5µm Quantum Cascade Lasers delivering continuous wave optical power significantly exceeding 10W in a nearly Gaussian output beam (M2 < 1.5). The very high power level will be achieved by scaling device dimensions both laterally and along the growth direction, while still preserving operation on fundamen ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. Brightness scaling of quantum cascade lasers based on vertically-stacked leaky-wave-coupled array of active regions

    SBC: TRANSWAVE PHOTONICS, LLC            Topic: N191014

    TransWave Photonics, LLC in collaboration with the University of Texas at Austin proposes to demonstrate a new active region configuration for the mid-wave infrared quantum cascade lasers that provide a possibility of scaling the brightness of the device emission by at least a factor of 5 over the current state-of-the art. The proposed laser design concept is based on coherently coupling of the li ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Air Crew Endurance System (ACES)

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N191015

    Musculoskeletal pain and discomfort have been known in the rotary wing community for at least 50 years. A combination of poor seat ergonomics and cockpit design dictated by crash dynamics in concert with whole body vibrations have resulted in airframes that actively promote poor posture and induce high rates of pain within the community. This endemic back pain within the community is accepted as â ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Clustering and Association for Active Sonar Tracking and Classification

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: N191016

    Modern active sonar systems often have difficulty meeting submarine detection, classification and tracking objectives due to the well-known complication of high reverberation in littoral operating environments. The conventional signal processing implemented in most Navy active sonar systems is optimized for detecting target echoes in noise. The presence of boundary reverberation provides a highly ...

    SBIR Phase I 2019 Department of DefenseNavy
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