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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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. SSTR Tools Enabling Lessons Learned Access and Reachback (STELLAR)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: OSD08T002

    Nothing yet.

    STTR Phase I 2009 Department of DefenseArmy
  7. Mobile Health Application for Family and Behavioral Health Provider Communication

    SBC: INFERLINK CORP            Topic: A13AT018

    Clinical monitoring of mental health status has not evolved much from the routine meeting between patient and clinician, which suffers from a lack of quantification, irregular and anecdotal reporting, and does not necessarily include input from caregivers. This is unfortunate given today's technology, where people routinely volunteer to track their own health related behavior, such as exerc ...

    STTR Phase I 2013 Department of DefenseArmy
  8. RiskWatch: Linking Environmental Stressors to Security Outcomes

    SBC: INFERLINK CORP            Topic: A17AT021

    Many environmental factors can potentially affect a communitys security. In this project, we propose to develop an open source system, called RiskWatch, for harvesting data from multiple sources and linking that data to security outcomes. Relevant data can potentially be found in a wide variety of sources, including structured, numeric data sets and images published by governments and NGOs, in na ...

    STTR Phase I 2017 Department of DefenseArmy
  9. Nadir-Looking Synthetic Aperture Radar (NadirSAR)

    SBC: GOLETA STAR, LLC            Topic: A16AT011

    Goleta Star and the University of Florida (UFL) will jointly develop Nadir SAR 3D imaging capability from a Circular SAR orbit that can be transitioned into selected Army applications, primarily existing single-channel radars. Both Goleta and UFL have 3D imaging background and relevant capability that will jointly feed into the desired imaging technology development. In addition Goleta Star has ...

    STTR Phase I 2016 Department of DefenseArmy
  10. Counter-UAS Novel Testbed and Enhanced Radar (CoUNTER)

    SBC: PSEUDOLITHIC INC.            Topic: A21CT009

    PseudolithIC Inc. and Michigan State University (MSU) are pleased to offer the CoUNTER proposal to address the threat posed by the proliferation of Unmanned Aerial Systems (UASs) with a codesigned hardware-signal processing approach. This proposal combines the benefits of mm-Wave signals, advanced MIMO architectures and novel micro-Doppler signal processing to deliver superior active radar perform ...

    STTR Phase I 2022 Department of DefenseArmy
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