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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. Multi-cell X-ray target with energy recuperation

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: HR0011ST2023D01

    Food irradiation technology has attracted more attention in the past decade given that it can provide a sustainable solution on how to address pathogen contamination in food. X-ray irradiation has several advantages compared to other irradiation technologies including superior penetrating quality compared to electron beams, and considerably larger dose rate compared to gamma rays. However, the low ...

    STTR Phase I 2023 Department of DefenseDefense Advanced Research Projects Agency
  2. 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
  3. 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
  4. 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
  5. Team Oriented Resource Management and Control (TORMAC)

    SBC: Perceptronics Solutions, Inc.            Topic: HR001121S000725

    This proposal is for a Team Oriented Resource Management and Control (TORMAC) solution to the problem of distributed decision-making for resource constrained platforms in complex environments. As autonomous unmanned vehicles (UXV), sensor and manned vehicle capabilities have proliferated, it is more important to find ways of coordinating these assets towards common objectives in an evolving, commu ...

    STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency
  6. High-Flux Receiver Optics for Safe Power Beaming

    SBC: GLINT PHOTONICS, INC.            Topic: HR001121S000729

    Optical power beaming systems have the potential to revolutionize energy supply for airborne military platforms, allowing networks of unmanned aircraft to operate aloft indefinitely.  To ensure safe and efficient optical power transfer, receiving optics must be designed to provide rigorous photon containment.  Stray reflections and scattered light must be minimized in order to ensure safety fo ...

    STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency
  7. High Efficiency kW-class 1550 nm Steerable Diffraction-Limited Laser Diode Arrays for Energy Web Dominance

    SBC: FREEDOM PHOTONICS LLC            Topic: HR001121S000729

    DARPA and the US Department of Defense are interested in technologies which can enable a wireless energy web comprising multiple nodes to enhance military capabilities.  Wireless power transmission is difficult to scale to relevant powers and distances due to poor system efficiency.  For example, as transmission distances increase there is a severe reduction in system efficiency; at distances of ...

    STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency
  8. Bioassembled QD LEDs

    SBC: LUNA LABS USA LLC            Topic: HR0011ST2022D01

    Quantum dots (QDs) are nanoparticles with unique properties that have the potential to be used in a many consumer-facing applications. QDs have bright narrow-band luminescence, and can produce more accurate color reproduction and brighter displays.  Further, QDs can be integrated into flexible or biocompatible displays which create opportunities for a future with many new paradigms of display tec ...

    STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency
  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. 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
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