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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. Visual Augmentation Systems (VAS) Range Finder

    SBC: Maztech Industries LLC            Topic: SOCOM234003

    IERUS is developing a novel phased array ground terminal aperture architecture for the DoD's next generation of satellite constellations. With the proliferation of high-bandwidth satellites across LEO, MEO, and GEO, there is a need for SWaP-C optimized user terminal apertures. The IERUS solution implements scalable and mission-set reconfigurable technologies to enable rapid transition into operati ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  2. Visual Augmentation Systems (VAS) Range Finder

    SBC: ATTOLLO ENGINEERING, LLC            Topic: SOCOM234003

    Augmentation Systems (VAS) Range Finder. It provides opportunities for day/night observation and range measurement in a small, easy-to-use device. We tradeoff features and SWAP-C to determine optimal combinations and document them in a feasibility study. Novel methods of presenting ranges are further. investigated and discussed.

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  3. Hokkien Low Density Language Capability

    SBC: FEMTOSENSE, INC.            Topic: SOCOM232002

    Femtosense is an innovative tech startup leading the charge to deploy sparse AI using novel techniques that are far more affordable and easier to implement than traditional AI computational technologies. Femtosense’s invention – the Sparse Processing Unit (SPU-001) is a TRL level 7 processing chip poised to disrupt the $50B AI hardware market. It offers best-in-class SWaP-C (Size, Weight, Powe ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  4. Hokkien Low Density Language Capability

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM232002

    Toyon proposes to establish the feasibility of a novel approach to performing S2ST between a target language, such as English, and the low density spoken only language Hokkien. While we will focus of Hokkien during the research and development efforts of Phase I, our system can be tailored to any low density spoken language. Our approach leverages our recently developed Android Team Awareness Kit ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  5. 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
  6. High Energy Density Batteries

    SBC: WASATCH IONICS LLC            Topic: SOCOM232003

    Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  7. Topological Anomaly Detection

    SBC: ADVANCED ONION, Inc.            Topic: SOCOM224007

    We propose a study to assess the feasibility and efficacy of using graph/based analytics and Graph Neural Networks (GNN) to identify anomalous individual and organizational personas in financial transaction datasets. Currently, there is an urgent and expensive need to deny nefarious transnational state and non/state actors from accessing global financial systems, export/controlled technologies, cr ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  8. Low Cost Carbon-Carbon Development for Hypersonic Flight Systems

    SBC: M4 ENGINEERING, INC.            Topic: MDA22T013

    The innovation proposed here is a novel carbon-carbon composite (CCC) manufacturing method based on polymer infusion and polymerization (PIP) using a novel precursor polymer with exceptionally high char yields. This results in a material that has the promise of excellent quality and mechanical properties, while offering the breakthrough advantages of (1) greatly reduced or eliminated need for back ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  9. Paratemporal Simulation with Uncertainty Quantification

    SBC: WARPIV TECHNOLOGIES, INC.            Topic: MDA22T001

    This topic identifies the need creating a Modeling and Simulation (M&S) development and execution environment that significantly decreases the time to execute statistically significant batches of stochastic simulation runs for the purpose of estimating scenario output and outcome distributions while improving statistical knowledge of the outcome distributions. The strategy sought by this topic is ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  10. Recommendation Technology for Digital Engineering Artifacts

    SBC: NOU SYSTEMS INC            Topic: MDA22T002

    Utilizing our current applications and data models supporting the MDS digital test planning and anlaysis ecosystem (currently deployed to MDA's EWS system), the nSI team will develop methods for artifact recommendations for system engineering data to aid MDS personnel in finding data relevant to their tasks. The team will extend our current data model (currently supporting the digital M&S) and tag ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
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