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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. 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
  4. T3DDART – Tractable Tiered Task Decompositions for Decentralized Autonomous Resource Tasking

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: HR001121S000725

    The current state-of-the-art for autonomous unmanned vehicles is limited in comms-denied situations, where operators cannot assist with coordination and situational reassessment.  Significant algorithmic development is needed for comms-challenged autonomous operations to achieve parity with operator-driven or manned equivalents, as autonomous agents are not currently equipped to anticipate and re ...

    STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency
  5. 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
  6. 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
  7. Pyroelectric Receiver for High-Efficiency High-Power Wireless Power Transmission

    SBC: SCIENTECH INC            Topic: HR001121S000729

    This work seeks to develop a receiver for high-power wireless energy transmission based on thermal-to-electric energy conversion using solid-state pyroelectric materials, which can convert time-varying temperature fluctuations to electricity, coupled with a modulated radiation source. The proposed receiver relies on a multilayer device architecture comprising nanometer-thick pyroelectric films tha ...

    STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency
  8. Multi-Task Scale Aware Continuous and Localizable Embeddings

    SBC: KITWARE INC            Topic: OSD22A001

    NGA uses deep networks for many tasks including image registration, land cover segmentation, and object detection. Current deep learning approaches develop specialist networks for each task and type of data. Not only is this inefficient, because networks can’t be reused across tasks, this approach ignores correlations between tasks and data sources that can improve performance. In response, we w ...

    STTR Phase I 2022 Department of DefenseNational Geospatial-Intelligence 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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