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Award Data

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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: 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
  2. 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
  3. Low Cost W-Band Imaging Array

    SBC: MILLIMETER WAVE SYSTEMS LLC            Topic: CBD22BT001

    Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  4. RAZORFISH: Real-time Augmented ZYX-aligned Operator RF/EM Integrated Scene for Hypercognition

    SBC: KNOWMADICS, INC.            Topic: SOCOM22DST01

    As electronic warfare (EW) permeates down to the small unit operations (e.g., with the proliferation of IoT devices, 5G, demand for multidomain spectrum management, and adversaries who can leverage or attack these components with malice), there is a need to bolster Operator's shared situation awareness (SSA) of the EW space that overlays the physical battlefield to enable a small unit multidomain ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  5. sUAS Munition Teaming for Advanced Precision Strike

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: SOCOM21C001

    Precision-guided munitions have demonstrated dramatic effects with minimal collateral damage. New technology developed specifically to deny them accurate guidance information is now feasible, even for non-traditional adversaries. Further, digital communications are flooding the air with signals that interfere with communications many guidance methods rely on. Swarms of small, covert small Uncrewed ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  6. Spray-based visual indicator of opioids for the rapid and effective decontamination of large areas

    SBC: TRITON SYSTEMS, INC.            Topic: CBD20AT001

    Triton Systems, Inc. will collaborate with The University of Massachusetts Lowell to develop a spray-based technology for the rapid, visual identification of opioids, turning contaminated areas from nondescript white powders to a brightly colored spots for easy recognition with the naked eye. The technology leverages molecular recognition units that bind strongly and specifically to a variety of o ...

    STTR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense
  7. Opioid Indicator Spray for Complex Surfaces

    SBC: Clear Scientific, LLC            Topic: CBD20AT001

    Opioids, especially synthetic opioids, are a constant threat to the safety of civilian first responders; there are now serious concerns about their use in modern chemical warfare. Fentanyl and its many analogues (carfentanil, remifentanil, lofentanil, mefentanil, sufentanil, etc.) are extremely hazardous—if ingested or inhaled, many synthetic opioids cause lethal intoxication with only a few gra ...

    STTR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense
  8. Circulating Diagnostic Markers of Infectious Disease

    SBC: PATHOVACS INCORPORATED            Topic: CBD18A001

    The focus of this STTR phase I component is on proof-of-concept studies demonstrating applicability of technical approaches for identificationof circulatory diagnostic markers for infectious disease. Therefore, the primary objective of this project is to determine feasibility of one suchtechnical approach called Proteomics-based Expression Library Screening (PELS), for identification of pathogen-d ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  9. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  10. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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