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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. 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
  2. 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
  3. ReadiPlex- Implantable Biosensor for Continuous Monitoring of Indicators of Human Performance

    SBC: LUNA LABS USA LLC            Topic: AF23AT002

    Monitoring human health and performance is critical to protecting and sustaining warfighters throughout military operations and training. Studies have evaluated soldier psychophysiological responses, and detriments to visual perception and complex motor p

    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. 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
  7. 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
  8. 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
  9. 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
  10. Ad Hoc Swarm Modulation and Adaptation

    SBC: IOTAI INC            Topic: N23BT031

    Ad Hoc Swarm Modulation and Adaptation focuses on the ability to enable secure cyber communications, data, and distributed AI processing for any robotic swarm in any condition.  The system incorporates a range of multi-robotic system functionality to allow for coordination, cooperation, and reconfigurable methods of robotic teams, flocks, and swarms.  The system further includes methods for swar ...

    STTR Phase I 2023 Department of DefenseNavy
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