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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. 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
  2. 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
  3. 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
  4. AI-Based Learning Environment (ABLE) for Undersea Warfare (USW) Training

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N23AT014

    To compete on the world stage of undersea warfare (USW), the US Navy’s USW systems are frequently updated with advanced capabilities. As a result, modernization trainers need to perform the challenging tasks of updating training material to reflect the new (and obsolete) capabilities. This process requires comparing legacy to updated documentation, identifying changes to system capabilities, and ...

    STTR Phase I 2023 Department of DefenseNavy
  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. CodeSurgeon: Sound Full-Stack AI-driven Software Debloating

    SBC: TRAIL OF BITS INC            Topic: N23AT009

    We propose to develop and transition CodeSurgeon: an adaptable, AI-guided, full-stack debloating system. CodeSurgeon is innovative and unique in the field because it produces high-quality debloated programs with improved security posture that are safe, reliable, and sound. Following the lessons learned from a broad comparative evaluation of debloating tools conducted by the PI , CodeSurgeon will i ...

    STTR Phase I 2023 Department of DefenseNavy
  7. UUV Sensor Transformation

    SBC: Arete Associates            Topic: N23AT013

    Areté and its teaming partner the University of Arizona (UofA) will develop a software tool that transforms sensor and metadata from a given sensor system into realistic synthetic data as if it were collected by a different sensor system. The exponential rise in available data from a multitude of sensor systems has driven commercial and academic entities to achieve significant innovations in arti ...

    STTR Phase I 2023 Department of DefenseNavy
  8. Formable Preform for Advanced Ceramic Matrix Composite Structures

    SBC: PEPIN ASSOCIATES INC            Topic: DLA23A003

    Pepin Associates, Inc. has developed a unique, aligned discontinuous textile reinforcement for composite structures.  This reinforcement architecture is composed of short, overlapped tow segments.  The architecture allows the textile to stretch in its reinforcement direction.  This ability permits rapid fabrication of complex shaped thermal protection system structures from simple low cost sh ...

    STTR Phase I 2023 Department of DefenseDefense Logistics Agency
  9. 3D Printed Ablative Re-Entry Vehicle Heat Shields

    SBC: MANTIS COMPOSITES INC            Topic: DLA23A003

    Re-Entry Vehicles (RVs) are a critical component of the strategic weapon arsenal. While physics packages themselves have a substantial deterrence value, the ability to deliver those weapons quickly and with high survivability unlocks the ability to maintain a truly global deterrence. However, these thermal protection systems are encountering two developing challenges: Industrial Base Attrition: Th ...

    STTR Phase I 2023 Department of DefenseDefense Logistics Agency
  10. Improved surface interface of OPF and PAN carbon fibers for Carbon-Carbon processing

    SBC: ALKEMIX CORPORATION            Topic: DLA23A003

    Specialized materials such as Carbon-Carbon (C-C) are required as primary structural and thermal protection elements to sustain the severe temperatures on the surface of Hypersonic Vehicles during high-speed flight. The C-C material currently qualified at Northrop in Hypersonic Glide-Bodies or “Aeroshells” consist of phenolic resin and a low fired, stretch broken polyacrylonitrile fiber (LFSP ...

    STTR Phase I 2023 Department of DefenseDefense Logistics Agency
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