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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. Volume Digital Holographic Wavefront Sensor Phase 2

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Full Mueller Matrix Characterization of Imaged Samples using Digital Holography

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF18AT007

    The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Ultrahigh-Bandwidth Robust Performance Diagnostics for Rotating Detonation Engines

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT011

    Spectral Energies proposes to design a multisensory diagnostic suite for measurements within elevated-pressure RDEs. This sensor will utilize tunable-laser absorption spectroscopy to measure temperature, pressure and H2O concentrations in the annulus of a rocket-RDE and background-oriented schlieren imaging system for flow density gradient imaging to provide time resolved information about the sho ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Rapid Discovery of Evasive Satellite Behaviors

    SBC: DATA FUSION & NEURAL NETWORKS, LLC            Topic: AF17CT02

    The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

    STTR Phase II 2019 Department of DefenseAir Force
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