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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. Population Behavioral Analysis at Scale, AOR Modeling

    SBC: DEEP LABS INC            Topic: SOCOM22DST01

    Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  9. Multi-Dimensional Event Sourcing & Correlation- Publicly Available Information (PAI) (MDESC-P)

    SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC            Topic: SOCOM22DST01

    Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  10. Edge Quantum Processor

    SBC: STREAMLINE AUTOMATION LLC            Topic: SOCOM22DST01

    Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
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