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Award Data

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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. UV-Curable Energetic Polymers for Vat Polymerization of Gun Propellants

    SBC: PHYSICAL SCIENCES INC.            Topic: A21CT003

    Physical Sciences Inc. (PSI) and the University of Wisconsin-Madison (UW-Madison) propose to develop and demonstrate vat polymerization capabilities with an ultra-violet (UV) curable energetic polymer binder that will be used to produce gun propellant grains. Vat polymerization will present the opportunity for performance gains through highly engineered complex structures. Formulation trade studie ...

    STTR Phase I 2022 Department of DefenseArmy
  2. 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
  3. 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
  4. Integrated Electrophoretic Capillary Nanofluidic Biochip for Separation of Long DNA Molecules

    SBC: REDONDO OPTICS, INC.            Topic: A11aT027

    Redondo Optics Inc. (ROI), in collaboration with Center for High Technology Materials at the University of New Mexico proposes to design, produce, extensively test, and demonstrate the performance of a next generation integrated electrophoretic capillary

    STTR Phase I 2012 Department of DefenseArmy
  5. Low Cost W-Band Imaging Array

    SBC: MILLIMETER WAVE SYSTEMS LLC            Topic: CBD22BT001

    Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  6. Low Cost Imaging In The mm Wave Region Using Plasma Waves in High Mobility Transistor

    SBC: BRIMROSE TECHNOLOGY CORP            Topic: CBD22BT001

    In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  7. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  8. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: PARRY LABS, LLC            Topic: SOCOM23B001

    Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  9. Low Cost High Durability Reactor for Logistic Fuel Reforming

    SBC: ALTEX TECHNOLOGIES CORPORATION            Topic: A09AT018

    Altex, a small business entity, and Pennsylvania State University (PSU), a research institution, have teamed up under this STTR program to develop the Low Cost High Durability reactor that reduces the cost of logistic fuel reforming by an order of magnitude. LCHD uses the PSU’s novel low cost catalyst and an Altex innovative reactor design with low manufacturing cost. Under the proposed program ...

    STTR Phase I 2010 Department of DefenseArmy
  10. Multi-level, Modular Authoring for Scenario-Based Intelligent Tutoring Systems

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: A07T003

    Simulations and games are effective as training tools only when accompanied by considerable instructional support. This necessitates the presence of instructors to provide one-on-one help to students working with simulations. Much of the instructional support can be automated by Intelligent Tutoring Systems (ITSs). In order to realize the full benefits of the ITS technology, it is important to dev ...

    STTR Phase I 2007 Department of DefenseArmy
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