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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. 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
  2. Low SWaP Tactical Ultra-Secure Communications System

    SBC: RINCON RESEARCH CORPORATION            Topic: SOCOM221001

    Rincon Research Corporation (RRC) proposes assessing modern devices and techniques in the art of the possible that satisfy a number of key requirements. To reduce costs and shorten development timeline, RRC will focus on implementing the solution on low-cost, commercial-off-the-shelf (COTS) software-defined radios (SDRs) which meet the low probability of interception/detection (LPI/LPD) waveform†...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  3. Low SWaP Tactical Ultra-Secure Communications System

    SBC: IERUS TECHNOLOGIES INC            Topic: SOCOM221001

    When there is a contested environment, and SOCOM needs no-compromise ultra-secure communications, the IERUS Technologies Low-SWaP Ultra-Secure Tactical OTM Communication System (LUTOCS) is there. Utilizing an open agile architecture based on software defined radio (SDR) technology to implement advanced software and hardware solutions, the system is tailored for optimal performance in dynamic situa ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  4. Solid State High Energy Desity Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: SOCOM222001

    The modern warfare environment has demonstrated an ever-increasing need for electrical power and energy carrying capacity. Soldiers are now expected to carry in excess of 20lbs of batteries for a 72-hour mission. This weight only increases when operating specialized equipment such as communication, targeting, or mobility equipment. As a consequence, lithium-ion (Li-ion) battery packs have become t ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  5. Solid State High Energy Density Batteries

    SBC: BHAWIN LLC            Topic: SOCOM222001

    In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  6. Utilizing ML Algorithms to Track and Identify UAS Threats

    SBC: QUANTUM RESEARCH INTERNATIONAL, INC.            Topic: SOCOM222002

    The objective of this feasibility study is to assess the concept of using LiDAR to detect, track, and identify sUAS threats assisted by Artificial Intelligence (AI) agents. Inherent in this objective is concept development and feasibility assessment of Machine Learning (ML) and AI algorithms for creation and use of LiDAR target profiles for sUAS surveillance and identification. This objective will ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  7. Utilizing ML Algorithms to Track and Identify UAS Threats

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: SOCOM222002

    Frequency-modulated continuous wave (FMCW) lidar is the optimal solution for cost-appropriate ground-based imaging and discrimination of small UAS at the 3 km range. In this effort Polaris will first design and assess various FMCW lidar system configurations for SOCOM’s use case. Second, Polaris will employ an innovative approach to machine learning (ML) in which innovative techniques which offe ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  8. SeaCraft / AeroNautical Data-collector (SCAND) for real-time target recognition

    SBC: HYDRONALIX INC            Topic: SOCOM22DST01

    Intelligent detection and imaging technology hold considerable value for Department of Defense to attain situational awareness and advantage over opposing forces, and for aid in navigating potentially dangerous marine and terrestrial environments. Technologies obtain intelligence on underwater threats and can gather intelligence on approaching surface threats. Current sensor technologies require a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  9. 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
  10. sUAS Munition Teaming for Advanced Precision Strike

    SBC: INVARIANT CORPORATION            Topic: SOCOM21C001

    This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
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