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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. (APOC) for HADR and Logistics

    SBC: AUTONODYNE LLC            Topic: AFX20DTCSO1

    Autonodyne has been at the forefront of autonomy in aviation for two decades, applying autonomy in every aspect of aviation. The last 5 years’ efforts have brought the same avionics, autonomy, and interfaces to unmanned aviation, both for DoD and for the emerging Urban Air Mobility (UAM and Advanced Air Mobility - AAM) market. Autonodyne was hand selected by NASA/FAA to bring our expertise in Au ...

    STTR Phase I 2023 Department of DefenseOffice of the Secretary of Defense
  2. System for Positioning, Navigation, Timing, Communication and Authentication (PNT-CA)

    SBC: TOYON RESEARCH CORPORATION            Topic: SF23AT001

    Navigation and communication systems have traditionally been developed separately resulting in the use of redundant hardware on the same platform for different purposes. In addition, authentication has generally been an afterthought, added on only after t

    STTR Phase I 2023 Department of DefenseAir Force
  3. Contact Lens Integrated Physiological Sensors

    SBC: HEDGEFOG RESEARCH INC.            Topic: AF23AT003

    Tear film biomarkers have recently emerged as a promising diagnostic tool for a range of ocular and systemic diseases. Recent advances in tear film analysis have enabled the identification of specific biomarkers that can serve as reliable indicators of va

    STTR Phase I 2023 Department of DefenseAir Force
  4. 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
  5. P22-080 Collaboration of Humans and Autonomy Research Teaming Testbed (CHART2)

    SBC: SOAR TECHNOLOGY INC            Topic: AF22BT004

    Joint All-Domain Command and Control (JADC2) is a paradigm necessitating modern simulation testbeds. Existing solutions address some of these task requirements, human factors constructs, and domains separately, however they are not designed for research w

    STTR Phase I 2023 Department of DefenseAir Force
  6. Flexible Multi-Layer Emissivity Control Coatings (F-MECCs) for Spacecraft Thermal Regulation

    SBC: PHYSICAL SCIENCES INC.            Topic: SF22BT003

    Physical Sciences Inc. (PSI) and the University of Wisconsin-Madison (UWisc) will develop a flexible multi-layer emissivity control coating (F-MECC) for passive thermal regulation of various spacecraft. The new coatings integrate key functionalities of PSI’s MECC design (high emissivity contrast and tunable control temperature) with the structural benefits afforded by a polymer support (high fle ...

    STTR Phase I 2023 Department of DefenseAir Force
  7. 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
  8. SeaJelly Soft Robotic STEM Kit for All Ages

    SBC: GREENSIGHT INC.            Topic: N22AT023

    In response to the Navy’s solicitation for soft robotics STEM kits, GreenSight and Florida Atlantic University propose to enhance the existing NSWC Carderock’s SeaJelly project and to ready it for market entry as a complete kit. This jellyfish-inspired robotic platform has demonstrated the capability of captivating young minds with it’s biomimetic movement and form factor. The robot comprise ...

    STTR Phase I 2022 Department of DefenseNavy
  9. Autonomous Swarming Hierarchies (ASH)

    SBC: BOSTON FUSION CORP            Topic: N23BT031

    Boston Fusion Corp. and the Cyber-Physical Systems Laboratory at Rutgers University propose Autonomous Swarming Hierarchies (ASH), a platform-agnostic multi-robot system (MRS) design software suite with three components: 1) a coordination module (CASH) that uses artificial intelligence/machine learning to automatically generate control policies for the robots comprising the system, 2) a networking ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Deep Reinforcement Learning for Collaborative Multi-Robot Systems with Low-Latency Wireless Networking

    SBC: TIAMI LLC            Topic: N23BT031

    In this Phase I effort, Tiami, LLC, aims to develop and demonstrate a hardware proof of concept for a collaborative multi-robot system (MRS) that leverages imitative augmented deep reinforcement learning (IADRL) amongst heterogeneous uncrewed systems (robots) to achieve a common task. Collaboration is based on low-latency machine-to-machine wireless links between robots that use both RF and optica ...

    STTR Phase I 2023 Department of DefenseNavy
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