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Award Data

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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. Combat Systems of the Future

    SBC: Advanced Systems/Supportability Engineering Technologies And Tools, Inc.            Topic: N05149

    The S-351 mini-sub is a prototype of the Dry Combat Submersible (DCS). This prototype was established as a means of risk reduction prior to a full commitment to the DCS program. Both of these platforms have an operational need to transit with minimum operator fatigue safely to a pre-defined point and covertly deploy and retrieve SEALS. To meet these operational needs, these platforms require upgra ...

    STTR Phase II 2017 Department of DefenseSpecial Operations Command
  2. Low Visibility Radio Frequency Resonator

    SBC: VIRTUAL EM INC.            Topic: SOCOM19A001

    A prototyping effort is being proposed to develop methods and tools for utilizing structures of opportunity as efficient radiations in the HF, VHF and UHF bands.

    STTR Phase II 2020 Department of DefenseSpecial Operations Command
  3. TALOS User Experience

    SBC: SOAR TECHNOLOGY INC            Topic: A13068

    With the advanced capabilities planned by the TALOS program comes the risk of the operator becoming overwhelmed by the information available and the operation of the suit itself. To effectively employ the suit in the field, TALOS requires an effective situational awareness display and an intuitive, low-impact way of interacting with the suits physical/sensor systems. SoarTech proposes to continue ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  4. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: PARRY LABS, LLC            Topic: SOCOM23B001

    Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  5. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: XR 2 LEAD LLC            Topic: SOCOM23B001

    In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  6. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: Mente Systems Inc.            Topic: SOCOM23B001

    Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  7. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  8. RAZORFISH: Real-time Augmented ZYX-aligned Operator RF/EM Integrated Scene for Hypercognition

    SBC: KNOWMADICS, INC.            Topic: SOCOM22DST01

    As electronic warfare (EW) permeates down to the small unit operations (e.g., with the proliferation of IoT devices, 5G, demand for multidomain spectrum management, and adversaries who can leverage or attack these components with malice), there is a need to bolster Operator's shared situation awareness (SSA) of the EW space that overlays the physical battlefield to enable a small unit multidomain ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
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