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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. veriScan

    SBC: SENTAR, INC.            Topic: OSD06SP2

    The goal of the Information Assurance Run-time Auditing (IARA) Phase I project was to provide a framework that promotes the specification of software system monitoring, audit, analysis, and threat mitigation capabilities in large scale software intensive systems (LSSIS). IARA was designed to promote software assurance by incorporating novel tools that help certify the operations of untrusted soft ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  2. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD RESEARCH CORPORATION            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  3. RF-IR Data Fusion

    SBC: DECIBEL RESEARCH, INC.            Topic: MDA12T002

    deciBel Research, Inc. and the Electrical Engineering Department at the University of Mississippi - the deciBel Team - proposes to continue to develop and mature threat physics based classification, track association/track correlation, and dynamic attributes determination threat characterization algorithms that effectively and efficiently fuse data from multiple sensors. The classification algorit ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. RF/EO Track Correlation and Characterization (RETC2)

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA12T002

    In order to counter emerging threats from the Middle East and Southeast Asia, the Ballistic Missile Defense System (BMDS) is acquiring new sensor (e.g. AN/TPY-2 and PTSS type) and weapon technology (SM-3). As these new technologies are fielded, the BMDS's Command, Control, Battle Management and Communication (C2BMC) component must be able to correlate objects between multiple sensors. Inher ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  5. Intelligent RF-IR Data Fusion using Artificial Intelligence Techniques

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: MDA12T002

    The ultimate goal of this proposed effort is to better utilize disparate sensor data to perform better correlations and lethality assessments through the development of a sensor data fusion system using artificial intelligence (AI) techniques and the concept of extracting features from raw sensor data and reasoning about those features and their hypothetical association with hypothesized objects. ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  6. Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Objects in the Presence of Debris

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Toyon developed a Phase I framework leveraging spatiotemporal image processing algorithms for non-stationary clutter estimation, and nonlinear filtering based Track-before-Detect algorithms for tracking targets. Information is fused across sensors without loss of information due to detection thresholds. Algorithms, when applied jointly, provide a near-optimal solution. In addition, algorithms a ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  7. Vertical GaN Substrates

    SBC: SIXPOINT MATERIALS, INC.            Topic: DEFOA0000941

    SixPoint Materials will create low-cost, high-quality vertical gallium nitride (GaN) substrates using a multi-phase production approach that employs both hydride vapor phase epitaxy (HVPE) technology and ammonothermal growth techniques to lower costs and maintain crystal quality. Substrates are thin wafers of semiconducting material needed for power devices. In its two-phase project, SixPoint Mate ...

    STTR Phase II 2017 Department of EnergyARPA-E
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