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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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Time Domain Terahertz Non-Destructive Evaluation of Aero Turbines

    SBC: TeraMetrix, LLC            Topic: N06T011

    We propose to prove the feasibility of using time domain terahertz (THz) non destructive evaluation (NDE) to inspect turbine blade thermal barrier coatings (TBC). High speed, non contact THz inspection will be useful both during the manufacturing process, during maintaince, and during recoating. Low thermal conductivity ceramic coatings that are deposited on Ni-alloy turbine-engine blades to pr ...

    STTR Phase I 2006 Department of DefenseNavy
  10. TOPMAST: Training Operational Performance via Measure Automation and Scenario-generation Technology

    SBC: APTIMA INC            Topic: N18AT003

    As the number of emerging warfare capabilities increases, adaptive training is required in order to keep pace with the corresponding increase in the scale and complexity of training regimes. To enable truly adaptive training, training systems need to both (1) automatically generate training scenarios and (2) automatically assess trainee performance. Lastly, (3) diagnostic visualization technologie ...

    STTR Phase I 2018 Department of DefenseNavy
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