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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Enhanced Canine Performance, Protection and Survivability

    SBC: Virtech Bio, Inc.            Topic: SOCOM172002

    The goal of this Proposal is treatment of hemorrhage in SOCOM canines using a novel hemoglobin resuscitation fluid with oxygen carrying and plasma expansion properties (VIR-VET, a product of VirTech Bio). VIR-VET is designed to provide immediate hemodynamic stability and oxygenation to injured canines with blood loss. The product has advantages over traditional military fluid therapies: 1) As cell ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  2. Enhanced Canine Performance, Protection and Survivability

    SBC: REJUVENATE BIO INC            Topic: SOCOM172002

    Multi-Purpose Canines (MPCs) are an integral aspect of the US military. The continued expansion and use of these indispensable force multipliers in an intense, ever-changing and complex battlefield requires enhancing their innate capabilities in a timely manner. Additionally, canines have a relatively short life span, and considering the substantial training period that MPCs must undergo, their ef ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  3. Handheld Hidden Chamber Detection

    SBC: TIALINX, INC.            Topic: SOCOM173004

    SOCOM requires rapid implementation and delivery of a handheld, automated hidden chamber sensor system to detect, locate, and discriminate hidden compartments. TiaLinxs Eagle-NC is a wall imager that operates as an ultra-wideband (UWB) radio frequency (RF) sensor integrated with advanced computer vision algorithms, state-of-the-art computer processor technologies, and has a fully integrated displa ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  4. SUAS Killer, Identifier, and Tracker

    SBC: Physical Optics Corporation            Topic: SOCOM173005

    To address USSOCOMs need for a system to detect, locate, track, and either disable and/or destroy a small unmanned aerial system (SUAS) from a distance, Physical Optics Corporation (POC) proposes to develop the new SUAS Killer, Identifier, and Tracker (SKEET) system. The SKEET system is based on a new design that combines state-of-the-art airspace monitoring technology utilizing compact scanning r ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  5. Widely-Tunable Distributed-feedback Mid-Infrared Laser for Standoff Chemical Detection

    SBC: PENDAR TECHNOLOGIES LLC            Topic: A10075

    The Special Operations Forces require the compact capability to rapidly and safely scan an enclosed space and assess the presence of drugs, explosive, or other chemicals in order to support quickly search a room for potential evidence and reduce hostile risks.Pendar is proposing to develop for the current program a handheld standoff chemical detector with a capability for 2-m standoff chemical ana ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  6. Advanced Radar Concepts For Small (Tier I/II) RPAs

    SBC: IMSAR LLC            Topic: AF112144

    Intelligence, Surveillance, and Reconnaissance (ISR) platforms play an increasingly important role in modern warfare.The goal of providing timely and actionable information to the warfighter can be greatly facilitated by the ability to simultaneously collect multiple types of sensor data.Imaging one target without losing track of another target can mean the difference between mission success and m ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  7. Tactical Sensor Data Processing, Exploitation, and Dissemination

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM163008

    Toyon Research Corp. proposes the development, testing, and integration of an in-house automated 3D reconstruction and wide-area reconnaissance pipeline that provides Special Operations Forces (SOF) mission planners with the capability of automated high-resolution 3D model/scene generation from tactical sensor data and imagery. The proposed development will incorporate algorithms identied in the P ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  8. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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