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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. Navigation System for Early Childhood Assessment and Instruction

    SBC: Cognitive ToyBox, Inc.            Topic: 91990019R0011

    The researchers will develop a dashboaed to assess children as they play games on different social and emotional and thinking tasks.

    SBIR Phase I 2019 Department of EducationInstitute of Education Sciences
  2. Using Multiplayer VR to Advance Earth Science STEM Learning

    SBC: KILLER SNAILS LLC            Topic: 91990019R0011

    the team will develop a prototype of a multi-player virtual reality (VR) game where middle school students collaborate in observing complex earth science phenomena, such as exploring the ozone. The prototype will include one VR module which presents interactive content and a website portal where students analyze data and keep a personalized digital science journal. At the end of Phase I, in a pilo ...

    SBIR Phase I 2019 Department of EducationInstitute of Education Sciences
  3. Powerskills Game Lab: Improving High School Communication Skills Through Formative Assessment

    SBC: Hats & Ladders, Inc.            Topic: 91990019R0011

    This project will develop a prototype of a new component for the platform for high school students to develop stronger communication skills to improve college and career readiness. The prototype will include a performance-based game environment where students practice a range of skills, such as active listening, empathy, non-verbal communication, cultural awareness, and public speaking. The game w ...

    SBIR Phase I 2019 Department of EducationInstitute of Education Sciences
  4. The Training, Education, and Apprenticeship Program Outcomes Toolkit (TEAPOT)

    SBC: IMPACT LAB, LLC, THE            Topic: 91990019R0016

    Researchers will conduct a pilot study with a socio-economically and diverse sample of at least 500 high school students who will test the prototype ROI tool. The researchers will examine the feasibility and usability of the prototype, whether ROI information increases search and discovery for educational opportunities; whether having ROI information increases the likelihood of click-through rates ...

    SBIR Phase I 2019 Department of EducationInstitute of Education Sciences
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
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