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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. Non-Invasive Military Metabolite Analyzer (NIMMA)

    SBC: VIBO HEALTH INC            Topic: A22BT024

    Standard in vitro lab tests can help elucidate a patient’s health and diagnose several possible medical conditions to be monitored. Cost, patient and lab time, and patient discomfort, mean that these tests are done infrequently, and are limited to suspected morbidities. The invasive nature of most tests (requiring blood draws, urine samples, etc.) limits what is measured, and how often. In the ...

    STTR Phase I 2022 Department of DefenseArmy
  2. Novel Food Ingredient with very high levels of Essential Amino Acids (EAA)

    SBC: Technology Holding, LLC            Topic: A22BT025

    The proposed program will span the design, production, purification, and testing of a novel protein based food ingredient with >80% Essential Amino Acid content. A generally recognized as safe (GRAS) production organism will be used to enhance the safety of production and accelerate the timeline to GRAS approval of the protein feed. The resulting material will be incorporated into combat rations t ...

    STTR Phase I 2022 Department of DefenseArmy
  3. Time-Accurate Modeling for Hypersonic Morphing Vehicles

    SBC: SPECTRAL SCIENCES, INC            Topic: A22BT012

    To achieve enhanced tactical performance, speed, reach, and lethality, next-generation hypersonic vehicles must be designed for increased dynamics, control, and maneuverability. Morphing and adaptive structures, and active control surfaces will be critical in achieving these goals. However, the time-varying flow-field brought about by changes in vehicle orientation and configuration make such desi ...

    STTR Phase I 2022 Department of DefenseArmy
  4. Constrained Tomography with Under-Sampled Projections

    SBC: EULER SCIENTIFIC            Topic: A22BT006

    Inspection is central to maintaining the quality of products both during manufacturing and in storage. Non-destructive inspection of the internals of a product often requires imaging of the product by particles with low interaction cross section, such as X-rays. In Computed Tomography (CT), the 3D image is reconstructed using measurements of transmission using a large number of angles (projections ...

    STTR Phase I 2022 Department of DefenseArmy
  5. Self-Supervised Training in Geospatial Applications with a Robust Hierarchical Vision Transformer (STAR)

    SBC: UNIVERSITY TECHNICAL SERVICES, INC.            Topic: OSD22A001

    Satellite Imagery in Geospatial Intelligence (GEOINT), in conjunction with imagery intelligence (IMINT), geospatial information, and other means of gaining intelligence, has greatly improved the potential of the warfighter and decision makers enabling them to gain a more comprehensive perspective, an in-depth understanding, and a cross-functional awareness of the operational environment. The Artif ...

    STTR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  6. sUAS Munition Teaming for Advanced Precision Strike

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: SOCOM21C001

    Precision-guided munitions have demonstrated dramatic effects with minimal collateral damage. New technology developed specifically to deny them accurate guidance information is now feasible, even for non-traditional adversaries. Further, digital communications are flooding the air with signals that interfere with communications many guidance methods rely on. Swarms of small, covert small Uncrewed ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  7. sUAS Munition Teaming for Advanced Precision Strike

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM21C001

    The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  8. Millimeter-wave MIMO Radar for UAS Tracking

    SBC: TOYON RESEARCH CORPORATION            Topic: A21CT009

    Small unmanned aerial systems (sUASs) are quickly emerging as low-cost attritable aerial platforms for hostile reconnaissance, targeting, weapon delivery, and other purposes. Unlike legacy air targets, small unmanned aerial systems fly at low altitude, are easily masked by terrain features, often fly at relatively low velocities that render many forms of Doppler and time/frequency radar exploitati ...

    STTR Phase I 2022 Department of DefenseArmy
  9. A Long Durability and High Power SOFC Stack for Portable Power Sources

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: A21CT011

    This Small Business Technology Transfer (STTR) project aims to leverage the recent advancement of solid oxide fuel cell (SOFC) to enable a compact and portable fuel cell system with a system-level volumetric power density of 3000W/L, which can serve as the lightweight power source for US Army. Storagenergy Technologies, Inc. (Storagenergy) proposes a compact SOFC system for portable power source ...

    STTR Phase I 2022 Department of DefenseArmy
  10. An FMCW Radar based Cable Remaining Useful Life Estimator

    SBC: ALEX AND ALICE, INC.            Topic: A21CT013

    In this proposal, we propose an FMCW radar based cable remaining useful life (RUL) estimator to detect, locate, and classify cable faults, and estimate the cable RUL. The system includes three key elements - an FMCW radar, a cable degradation model, and a machine learning (ML) based data processing module. The FMCW radar transmits a chirp down to the cable through a lead cable and an impedance mat ...

    STTR Phase I 2022 Department of DefenseArmy
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