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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. Enhanced Canine Performance, Protection and Survivability

    SBC: Metro International Biotech, LLC            Topic: SOCOM172002

    Given the benefits of exercise on general health, orally active compounds that can mimic or potentiate the effects of exercise have been of keen interest as therapeutic and dietary ingredients. Our proposed approach for enhancement of USSOCOM Multi-Purpose Canine (MPC) endurance and sensory performance using an exercise mimetic is based on the observation that age-related decline of nicotinamide ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  2. Group 2 (<55lbs) Unmanned Aerial System for Special Operations Forces Tactical-Level Intelligence, Surveillance, and Reconnaissance Operations

    SBC: SEALANDAIRE TECHNOLOGIES, INC.            Topic: SOCOM172005

    SeaLandAire Technologies, Inc. (SLA) proposes to meet this Group 2 need with an electric drive concept that will be capable of a 20-30 lbs. modular payload, with comparable range and endurance to current grp 2 ISR UAS, while still maintaining sufficient ISR capabilities. This UAS concept is able to covertly and safely deliver payload to within 1 meter accuracy, then extract a different payload an ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  3. Data-Parallel Analytics on Graphics Processing Units (GPUs)

    SBC: Royal Caliber            Topic: ST13B004

    We are proposing to enable automated discovery of machine learning pipelines on graphs using our system of accelerated primitives. While our existing technology greatly reduces the need for users to understand super-computing, it still requires expertis...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  4. Scalable Wideband Autonomous RF Mapping MANET

    SBC: Silvus Technologies, Inc.            Topic: SB162011

    Electromagnetic spectrum (EMS) awareness continues to be a critical capability for military dominance in the field. The number, dynamics, and types of sources in an increasingly congested RF spectrum has shifted the focus of DoD research away from large ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  5. Explainable AI to support Veterans Transition Assistance Programs (XAI-VTAP)

    SBC: SOAR TECHNOLOGY INC            Topic: SB163007

    A challenge for Artificial Intelligence recommenders is explaining their reasoning to users. Humans tend to explain concepts with symbolic narratives, which contrasts the way non-symbolic machine learning represents concepts. This research addresses this challenge by grounding the research in the problem of helping transitioning veterans find relevant careers. The developed prototype will provide ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Handheld Hidden Chamber Detection

    SBC: TIALINX, INC.            Topic: SOCOM173004

    SOCOM requires rapid implementation and delivery of a handheld, automated hidden chamber sensor system to detect, locate, and discriminate hidden compartments. TiaLinxs Eagle-NC is a wall imager that operates as an ultra-wideband (UWB) radio frequency (RF) sensor integrated with advanced computer vision algorithms, state-of-the-art computer processor technologies, and has a fully integrated displa ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  7. SUAS Killer, Identifier, and Tracker

    SBC: Physical Optics Corporation            Topic: SOCOM173005

    To address USSOCOMs need for a system to detect, locate, track, and either disable and/or destroy a small unmanned aerial system (SUAS) from a distance, Physical Optics Corporation (POC) proposes to develop the new SUAS Killer, Identifier, and Tracker (SKEET) system. The SKEET system is based on a new design that combines state-of-the-art airspace monitoring technology utilizing compact scanning r ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Advanced Radar Concepts For Small (Tier I/II) RPAs

    SBC: IMSAR LLC            Topic: AF112144

    Intelligence, Surveillance, and Reconnaissance (ISR) platforms play an increasingly important role in modern warfare.The goal of providing timely and actionable information to the warfighter can be greatly facilitated by the ability to simultaneously collect multiple types of sensor data.Imaging one target without losing track of another target can mean the difference between mission success and m ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  9. Tactical Sensor Data Processing, Exploitation, and Dissemination

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM163008

    Toyon Research Corp. proposes the development, testing, and integration of an in-house automated 3D reconstruction and wide-area reconnaissance pipeline that provides Special Operations Forces (SOF) mission planners with the capability of automated high-resolution 3D model/scene generation from tactical sensor data and imagery. The proposed development will incorporate algorithms identied in the P ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  10. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: Perceptronics Solutions, Inc.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
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