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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. Improved Human Systems for Computed TomographySpeed of Image Review

    SBC: IDSS Holdings, Inc.            Topic: HSB0181006

    IDSS in partnership with Tufts University Human Factors Engineering Program, a leader in Engineering Phycology, proposes to study CT screening system operator burden and reduce image review time by reviewing and making improvements to the GUI and the current man-machine interaction and perform limited prototyping of potential improvement to the operator interface and toolset.

    SBIR Phase II 2019 Department of Homeland Security
  2. High Acceleration and Hypervelocity Inertial Measurement Unit

    SBC: ENGENIUSMICRO LLC            Topic: OSD181001

    Gun-launched applications currently expose inertial measurement units (IMUs) to harsh acceleration, shock, and vibration environments. Furthermore, as they become smarter, they present tighter constraints on size, weight, power, and cost (SWaP-C), while still requiring high levels of performance. New accelerometer technology must reduce SWaP-C while operating through high-g acceleration environmen ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  3. Dual-Band Aerodynamic Electro-Optical Seeker

    SBC: OPTIMAX SYSTEMS, INC.            Topic: OSD181002

    In implementing an electro-optic (EO) seeker, the selection of a waveband or wavebands is the major decision for the system design. The visible and near-infrared wavebands work well in the daytime when the atmosphere is clear, but passive imaging systems in these bands are not useful at night, and they are susceptible to scattering in fog, smoke, and dusty environments. The mid-wave infrared (MWIR ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  4. Electro-optical Seeker

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: OSD181002

    Mission times for high velocity projectiles (HVP) are very short and detection and discrimination of targets must happen quickly and decisively. One way to achieve this is through the enhanced contrast resulting from polarized sensing, which tends to highlight manmade objects and suppress natural background clutter. Thermal polarimetric sensing in a small package has been demonstrated already but ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  5. Electro-optical Seeker Based on HgCdTe Photodetection

    SBC: EPISENSORS INC            Topic: OSD181002

    The capability to reliably and remotely detect and track tactical surface targets in a high-velocity projectile after launch is a critical need. The discrimination of man-made objects can be assisted by the detector technology, with options including two-color detectors and polarimetric filtering in the thermal infrared bands. The level of complexity in the focal plane array affects its survivabil ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  6. High-Dynamic Target Tracking in Multisensor Environments

    SBC: BLACK RIVER SYSTEMS COMPANY, INC.            Topic: SCO182005

    Black River Systems is developing real-time fire control tracking and threat prediction capabilities for land and sea - based missile defense. Our nation faces a rapidly evolving set of missile threats that exhibit extreme velocities, high dynamic motion and difficult to predict maneuverability. There are many different trajectories and many types of threats: subsonic, supersonic; sea-skimming, la ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  7. Deep-learning Ephemeral-Pad Encryption Neural Networks (DEPENN)/ATC- NY

    SBC: ATC-NY INC            Topic: SCO182009

    Deep-learning Ephemeral-Pad Encryption Neural Networks (DEPENN) software applies one-time pad and quantized neural network technologies to provide efficient, moving-target encryption of all data associated with neural network operations. DEPENN overcomes the significant computational burden and technical challenges of fully homomorphically encrypted neural network operation while providing compara ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  8. Critical Program Information (CPI) Identification and Assessment Tool

    SBC: Management Analysis Network, LLC, The            Topic: SCO183002

    Protecting the effectiveness of US advanced weapon systems and the technology they rely on is a national priority. Unfortunately, individuals tasked with this mission are met with disjointed guidance, no training, and competing processes to consider. It is no wonder adversaries continue to exploit these weaknesses in the Department of Defense (DOD); stealing our Critical Program Information (CPI) ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  9. Firmware Automated Analysis at Scale with Testing

    SBC: RED BALLOON SECURITY, INC.            Topic: HSB0181008

    The firmware running on mobile, embedded, and Internet of things devices is often treated as a blackbox by organizations. These firmware images can contain a myriad of n-day vulnerabilities, both malicious and unintentional backdoors, and other unwanted functionality. Unfortunately, analyzing these firmware images is a difficult and time-consuming task as each firmware can be packed with layers of ...

    SBIR Phase II 2019 Department of Homeland Security
  10. A Scalable, Mobile M2M/SDP/IoT Architecture to Connect First Responders at the Incident Site

    SBC: BALFOUR TECHNOLOGIES LLC            Topic: HSB0141005

    First Responders need to leverage automated (M2M machine-to-machine), mobile connectivity at an incident site. With connectivity automated through M2M network technology, responders would have much improved situational awareness, and can effectively focus their complete attention on the necessary emergency response actions. We propose to develop a futuristic automated M2M prototype system/architec ...

    SBIR Phase II 2015 Department of Homeland Security
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