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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Circulating Diagnostic Markers of Infectious Disease

    SBC: PATHOVACS INCORPORATED            Topic: CBD18A001

    Assays for accurate diagnosis of early stages of infection with biothreat agents, on the day of infection or within a few days of infection, will find wide use in both civilian and military applications These diagnostic assays, which are anticipated to be highly specific and sensitive, will add to the repertoire of tools of hospitals and clinics that serve our armed forces personnel deployed on th ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  2. Field-Usable Designer Drug Analyzer

    SBC: REAL-TIME ANALYZERS, INCORPORATED            Topic: CBD181006

    While this solicitation described the need for better sampling methods and rugged mass spectrometers, the topic author funded our alternative approach, which employs existing DoD Raman spectrometers. The Phase III project goal is to develop a Field-Usable Designer Drug Analyzer capable of identifying and quantifying drugs in saliva and blood at 10 ng/mL in 10 minutes. Feasibility was demonstrated ...

    SBIR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  3. High Sensitivity, Low Complexity, Multiplexed Diagnostic Devices

    SBC: Paratus Diagnostics            Topic: CBD152005

    Preparing for outbreaks caused by biowarfare agents (BWAs) is one of the central pillars of our country's defense strategy. While there are point-of-need devices for detecting BWAs from environmental samples, there is no FDA-cleared point-of-care diagnostic test that can diagnose illnesses caused by BWAs. We propose to develop a solution using our patented point-of-care (POC) diagnostic technology ...

    SBIR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  4. Marburg Virus Prophylactic Medical Countermeasure

    SBC: MAPP BIOPHARMACEUTICAL, INC.            Topic: CBD18A002

    There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  5. Dynamical Network Models for Holistic Risk Management in Next-Generation 911 Systems

    SBC: Achilles Heel Technologies, Inc            Topic: HSB0191007

    The Next-Generation 911 (NG911) initiative, which aims to update the United States' emergency communications systems to be Internet Protocol-based, should bring about profound benefits in system usability and resilience. However, there is great concern that NG911 systems will be highly vulnerable to cyber- risks, both because the increased accessibility provided by the system increases likelihood ...

    SBIR Phase II 2020 Department of Homeland Security
  6. Cybersecurity Peer-to-Peer KNwledge/Lessons Learned Tool

    SBC: INFERLINK CORPORATION            Topic: HSB0191006

    The increasing number of breaches and hacks against organizations demands new and more effective ways to provide defense. Increased kNwledge sharing among peers could make a tremendous difference in improving current practices, especially since the cyber landscape is a dynamically changing environment. Our goal is to develop an effective peer-to-peer platform for sharing cybersecurity kNwledge and ...

    SBIR Phase II 2020 Department of Homeland Security
  7. 9-1-1 Network Modeling Based Upon PARIDINE Model

    SBC: SECURELOGIX CORPORATION            Topic: HSB0191007

    SecureLogix is a current performer on the PARIDINE project and is focused on defining and detecting attacks such as Telephony Denial of Service (TDoS) and other call pattern-based attacks against 9-1-1 networks. Our approach is to enhance our cloud-based Orchestra One Call Authentication Service (CAS), extending its inherent authentication and spoofing detection capabilities, with the ability to u ...

    SBIR Phase II 2020 Department of Homeland Security
  8. Automated Assessment of Urban Environment Degradation for Disaster Relief and Reconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  9. Low-shot Using Contextual Knowledge and Ephemeral Search Hierarchy for One-shot Targets (LUCK E SHOT) in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    At a high level, the primary technical objective of the proposed effort is to Identify, obtain, evaluate, and improve datasets; Investigate the use of Meta-Learning to improve the low-shot detection performance of the feed forward network;   Extend research in multi-branch multi-domain embedding networks and semantic layouts for low-shot detection in remote sensing imagery; and Develop and implem ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  10. Automatic Target Acquisition & Aim-Point Selection for Small Arms

    SBC: Opto-knowledge Systems, Inc.            Topic: OSD173J02

    The Army is seeking next-generation automatic target detection, recognition, identification, masking, tracking, and aim-point selection tools for small caliber weapons systems borne by dismounted soldiers to improve warfighter effectiveness. Accordingly, OKSI has proposed implementing state-of-the-art machine learning tools (e.g., deep learning) on ultra-low SWaP modern processors (e.g., Nvidia TX ...

    SBIR Phase II 2020 Department of DefenseOffice of the Secretary of Defense
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