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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. Abuse Tolerant High Energy LiCoPO4-Based 5V Li-ion Cells

    SBC: TIAX LLC            Topic: A14023

    TIAX will build, characterize and abuse test high energy 18650-size lithium-ion cells employing Fe-substituted LiCoPO4 high voltage cathode material developed by the Army Research Laboratory and compare their performance to control LiCoO2-based lithium-ion cells. TIAX will perform overcharge, external short circuit, uniform heating and crush tests to the specification of the UL1642 standard and wi ...

    SBIR Phase II 2015 Department of DefenseArmy
  2. ACA: Active Collaborative Autonomy

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: SB111004

    Anti-access Area Denial (A2AD) capabilities from peer threats render many aspects of current CONOPS inadequate.For example, our manned aircraft are projected to experience unacceptable attrition against peer IADS forces.The overall system concept of collaborative teams of smaller UAVs and manned-unmanned teams shows great promise for counteracting the A2AD threats and improving the cost-exchange r ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  3. Accurate Angle of Incidence (AOI) Measurement Capability

    SBC: TOYON RESEARCH CORPORATION            Topic: AF131177

    ABSTRACT:Missile test events provide the ability to evaluate the lethality of weapons systems in real-world conditions. While often immediately obvious whether the main goal of a test has succeeded/failed, it is much harder to analyze and understand the specific causes of success/failure. Current practices require arduous physical analysis of the target and its surroundings after the test is compl ...

    SBIR Phase II 2015 Department of DefenseAir Force
  4. ACLAMATE: Automated Cognitive Load Assessment for Medical StAff Training and Evaluation

    SBC: APTIMA INC            Topic: DHP13002

    Although great strides have been made in the development of simulators for training technical and teamwork skills, substantially less progress has been made with regard to their assessment. Typically, skills and performance are assessed by an expert observer using a Likert-type rating scale with anchors ranging from low to high. However, such methods are extremely coarse, and often provide little ...

    SBIR Phase II 2015 Department of DefenseDefense Health Agency
  5. A Compact Solid State Infrared Flare

    SBC: PHYSICAL SCIENCES INC.            Topic: A09004

    In this Phase II SBIR proposal Physical Sciences Inc. (PSI) outlines the development of a third generation (Gen-3) prototype of its electronic infrared (IR) flare illuminator technology that meets the Armys specifications for the M-278 IR flare while ove

    SBIR Phase II 2015 Department of DefenseArmy
  6. Acquisition and Tracking Algorithms for Multi-Resolution (Foveal) Sensors

    SBC: CYAN SYSTEMS, INC.            Topic: AF071155

    ABSTRACT:Goals of this Autofoveation Sensor Technology (AFOST) small camera/algorithm effort are to continue to optimize on FPA automated tiling/autofoveation processing merge closed loop processing performance with the aid of near sensor processors. We will provide a path toward larger format sensors for small platforms.The potential for high resolution compact sensors on small platforms along wi ...

    SBIR Phase II 2016 Department of DefenseAir Force
  7. Active Sensor Technologies for Interceptor Seekers

    SBC: Arete Associates            Topic: MDA10016

    ABSTRACT:Unmanned Aerial Vehicles (UAV) havebeen the most dynamic growth sector of the aerospace industry this decade and it is projected to double overthe next decade. The most significant catalyst has been the enormous growth of interest in UAVs by the US military, tied to operations in Iraq and Afghanistan as well as the general trend towards information warfare and net-centric systems. UAVs ar ...

    SBIR Phase II 2016 Department of DefenseAir Force
  8. Adaptive Diagnostic Tooling for Customized Upper Limb Prosthetic Socket Fitment

    SBC: BIODESIGNS, INC.            Topic: SB151001

    Dexterous arms, despite the promise they bring of significant enhancements to current technology, are subordinate to the socket that interfaces with the user. The numerous and distinct challenges present at this level of amputation together with the dearth of clinicians with upper limb expertise capable of creating a functionally superior socket present a formidable threat to user acceptance and t ...

    SBIR Phase II 2015 Department of DefenseDefense Advanced Research Projects Agency
  9. Adaptive Disturbance Mitigation System

    SBC: Physical Optics Corporation            Topic: N132117

    To address the Navys need for tow point surge mitigation of unmanned surface vehicles (USVs), Physical Optics Corporation (POC) has developed an Adaptive Disturbance Mitigation System (ADiMiS) that is based on dynamic control methodology. ADiMiS uses the real-time motions of the tow system to compute control actions for current and near-future time steps to mitigate tow point disturbance. In Phase ...

    SBIR Phase II 2016 Department of DefenseNavy
  10. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: MDA13T001

    In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexibl ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
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