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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. 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
  2. Multi-Task Scale-aware Continuous and Localizable Embeddings

    SBC: KITWARE INC            Topic: OSD22A001

    In Phase I, our team of Kitware and UC-Berkeley developed Scale-MAE by adding ground sample distance (GSD) to positional encodings, and produced a multiscale representation that achieves state-of-the art results across image classification, semantic segmentation, and object detection tasks. In Phase II, we will create a remote sensing pretraining toolkit to enable fast and easy experimentation wit ...

    STTR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  3. Byte-Taint Resonance Imaging (ByteRI)

    SBC: ASSURED INFORMATION SECURITY, INC.            Topic: AF20CTCSO1

    Assured Information Security, Inc. (AIS), in collaboration with Colorado State University (CSU) and the National Renewable Energy Laboratory (NREL), proposes a second (or sequential) Phase II of the Byte-Taint Resonance Imaging (ByteRI) STTR effort. This iteration of the ByteRI program will expand upon the binary analysis and program behavior analysis concepts identified in the original effort and ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  4. AI for Map Geolocation and Extraction to Find Critical Minerals

    SBC: INFERLINK CORP            Topic: AF19BT006

    Critical minerals are essential components in many modern technologies used by modern society and the global economy. Finding new sources of critical materials depends on having accurate data regarding the geology of potential sites. The United States Geological Survey (USGS) has an extensive collection of geological maps containing detailed information about various geological features, such as r ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  5. 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
  6. Robust Sandboxing and Lifting of ELF Binaries

    SBC: Immunant, Inc.            Topic: HR001120S0019001

    Software and hardware flaws can be exploited to make programs perform unintended computations or leak sensitive data. We propose to counter these threats by isolating libraries and other program units inside a single process. Software developers will control how the code and data of an application gets mapped to compartments and declare how applications are intended to interact with one another. W ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  7. Antireflective 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 for pers ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  8. High- Efficiency Kw-class 1550 nm Steerable Diffraction-Limited Laser Diode Arrays for Energy Web Dominance

    SBC: FREEDOM PHOTONICS LLC            Topic: HR001121S000729

    DARPA is interested in technologies which enable safe optical power beaming systems.  High-efficiency wireless power transmission by a directed optical beam will greatly enhance military capabilities by enabling a multi-node wireless energy web.  We are developing high efficiency semiconductor lasers at 1550 nm which are directly suitable for power beaming.  Our laser array technology is at an ...

    STTR Phase II 2023 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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