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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. Visual Augmentation Systems (VAS) Range Finder

    SBC: PHOTON-X, INC.            Topic: SOCOM234003

    The objective of this VAS rangefinder Phase I SBIR effort is to complete key enabling trade studies which will inform the development of the range finder through a Phase II effort. The resulting VAS rangefinder will be a low-cost, easy-to-use device that is capable of operating 24/7 in urban or near-urban environments with ambient light sources.

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

    SBC: INUR TECHNOLOGIES LLC            Topic: SOCOM232002

    Requirement of a portable device that can translate spoken conversations between Taiwan Hokkien and English. No commercially available product exists that can provide this capability, which is 100% disconnected from the cloud. The first challenge is to ensure the device's portability and accuracy of the translation without an Internet connection. The second challenge is the lack of existing data t ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  6. 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
  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. 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
  9. Merit International First Responder Digital Badging SBIR Ph I DHS231-003

    SBC: Merit International, Inc.            Topic: DHS231003

    Many first responder organizations at various levels, including federal, state and local, as well as non-profit agencies each have different methods of identifying first responders on scene during an incident. The lack of an interoperable and standardized credentialing solution for first responders results in more challenges with communication and coordinated access to information on identificatio ...

    SBIR Phase I 2023 Department of Homeland Security
  10. Reduced-Order Modeling of Critical Communications Network Protect Surfaces

    SBC: TIAMI LLC            Topic: DHS231006

    Tiami LLC, a socially and economically disadvantaged small business located in a HUBZone, aims to develop a first-of-its-kind reduced-order modeling solution for data communications networks. We will develop a discrete-time linear time-invariant (LTI) state-space model for a general communications network. We will then apply projection methods such as proper orthogonal decomposition (POD) and bala ...

    SBIR Phase I 2023 Department of Homeland Security
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