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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. Thermally-Conductive Nanocomposite Elastomer Boot System (TCNEBS) for V-22 Rotor Blade Leading Edges

    SBC: Infoscitex Corporation            Topic: N06T013

    The metal sheath used to protect the V-22 aircraft rotor blade leading edge against sand, rain and ice erosion, and provide heating to prevent ice buildup, is heavy, rigid and expensive. An elastomeric boot can offer lower weight, flexibility, abrasion-resistance and field repairability. However, elastomeric boots have exhibited delamination and creep failure caused by high centrifugal loads and ...

    STTR Phase I 2006 Department of DefenseNavy
  2. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  3. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  4. Sun-Tracking Millimeter Wave Radiometer

    SBC: PROSENSING INC.            Topic: AF17CT01

    This Phase I STTR proposal describes the development of a dual frequency millimeter-wave sun tracking radiometer designed to measure total atmospheric attenuation from ground level to the top of the atmosphere.The suns brightness temperature, which is on the order of 10,000K at millimeter-wavelengths, provides an ideal background reference allowing high dynamic range estimation of total atmospheri ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. SUGV-Integrated Non-Contact Deep UV Biochemical Agent Surface Detector (UVBASD)

    SBC: PHOTON SYSTEMS, INC            Topic: A06T029

    This proposal addresses the need for miniature, low power, reagentless, robot-mounted, instruments for real-time detection and classification of trace concentrations of biological and chemical agents on surfaces. Deep UV laser induced native fluorescence (UVLINF) is the most sensitive technique for detection and rough classification of trace amounts of biological and organic materials. Photon Sy ...

    STTR Phase I 2006 Department of DefenseArmy
  6. STTR Friction Stir Processing for Superplastic Forming

    SBC: HI-TECH WELDING & FORMING, INC.            Topic: N06T038

    Friction stir welding (FSW) is a solid state joining process with unique characteristics that offer opportunities for cost savings, new fabrication methods, and new structural designs. FSW eliminates many of the problems associated with fusion welding techniques. In addition, FSW generates a “stir zone” microstructure that consists of very fine, equiaxed grains that are ideal for post-weld f ...

    STTR Phase I 2006 Department of DefenseNavy
  7. Structurally efficient CMC-PMC air frames

    SBC: PHYSICAL SCIENCES INC.            Topic: N18AT024

    The Physical Sciences Inc. (PSI) Team consisting of PSI, Draper Laboratories (Draper), and an airframe integrator are proposing a tunable hybrid composite structure capable of increasing the thermal operating performance by 500 C over conventional polymer matrix composites (PMCs). Our multifunctional composite approach combines PSIs low cost quasi-isotropic Ceramic Matrix Composite (CMC) system, a ...

    STTR Phase I 2018 Department of DefenseNavy
  8. STAN: Scene and Target Analysis Network

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF18AT014

    The introduction of computer vision in precision-guided ammunition will potentially increase their targeting capabilities, in particular for moving targets such as tanks, vehicles and mobile command posts. EO/IR cameras offer a relatively inexpensive, low-SWaP payload solution which, combined with latest advances in SIMD hardware (GPUs), are finally starting to allow running sophisticated visual g ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. STability and Resilience Analysis Technology for Urban Systems analysis (STRATUS)

    SBC: Systems & Technology Research LLC            Topic: ST17C003

    The unique scale, population density, complexity, and connectedness of megacities requires new tools for detecting and assessing risks related to civil unrest, rule of law, terrorism, and other sources of instability, and for understanding the underlying dynamics. In addition, gray zone operations pose a new and strategically important class of threats to the stability of nation states and cities ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  10. Software Tool for Composite Durability Prediction

    SBC: METIS DESIGN CORPORATION            Topic: A06T027

    Durability is the effect of time dependant processes, including fatigue, creep, moisture absorption, thermal-oxidation, abrasion, chemical reactions and physical ageing on mechanical properties. The ability to predict accurately the durability of composite materials and structures is critical to successfully designing for longevity. The existence of models alone is not sufficient; practical soft ...

    STTR Phase I 2006 Department of DefenseArmy
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