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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. Storable Clean Ethane/ethylene Nitrous Engine (SCENE)

    SBC: PIONEER ASTRONAUTICS            Topic: MDA18T005

    he Storable Clean Ethane-ethylene Nitrous Engine (SCENE) is a proposed technology designed to provide upper stages and spacecraft with non-toxic, liquid, non-cryogenic, high-performance propulsion with an Isp on the order of 300 seconds. The propellant components are stored as liquids under their saturated vapor pressures. With the SCENE, nitrous oxide is used as an autogenously pressurized oxidiz ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  2. Non-Intrusive Uncertainty Identification and Quantification Framework for Hypersonic Flights

    SBC: CFD RESEARCH CORPORATION            Topic: MDA18T006

    Uncertainty Reduction in High Speed Flight Vehicle Modeling | Approved for Public Release 18-MDA-9707 (3 Jul 18)

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  3. StampPump: a Postage-Stamp Sized Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: Thermalin Inc.            Topic: ST18C004

    StampPump is a postage-stamp-sized (27x27x6 mm), fully-self-contained, closed-loop insulin patch pump system that is filled at the factory with enough insulin to treat a person with T1- or trauma-induced hyperglycemia for a full week. The device is shelf stable for at least 90 days and so is compatible with critical-care or forward deployment use. We propose to augment this system with the ability ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  4. Building an Autonomous Glycemic Control System for Hyperglycemia of Critical Illness

    SBC: Beta Bionics, Inc.            Topic: ST18C004

    It is well established that hyperglycemia of critical illness, general glucose intolerance, and insulin resistance are common among critically ill patients, including those without a diagnosis of diabetes mellitus upon hospital admission. Such glycemic dysregulation has been linked to increased patient morbidity and mortality, and longer recovery times. Furthermore, tight glycemic control has been ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  5. SBDUV APD/GPD detector arrays

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: ST18C003

    The goal of the research is to provide a solar-blind, deep-UV photo-detector array that can be used in instruments detecting chemical and biological agents, such as TAC-BIO II, using UV Raman and Fluorescence measurements. The overall approach is to develop a solid-state detector array that achieves the performance goals for QE (>70%), gain (>1E6), dark current (

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  6. Machine Learning and Data Fusion platform for Phenotype-based Pathogen Identification

    SBC: TRITON SYSTEMS, INC.            Topic: ST18C002

    Conventional methods for detecting pathogens, which are based on culturing the microorganism, are time-consuming and laborious. Machine learning provides an alternative path to identify pathogens using supervised learning algorithms. Most current computational tools utilize genomic or protein data to identify bacteria. These methods look for features in the whole genome that correlate to pathogeni ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. Deep Agent with Self-learning for Human Events Recognition (DASHER)

    SBC: BOSTON FUSION CORP            Topic: AF18BT002

    Automated analysis of human activities and events on the ground from aerial videos is key to extracting critical situational awareness and gathering actionable intelligence. It poses multiple challenges, including dynamic backgrounds that can be confused with foreground, multiple simultaneous activities in the field of view, occurrence of unknown activities, and large data volume and velocity. The ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. W-Band RF Instrumentation

    SBC: MAGIQ TECHNOLOGIES, INC.            Topic: A18BT002

    In the program, MagiQ Technologies Inc., in conjunction with professor Gabriel Rebeiz from the University of California, San Diego (UCSD), is proposing a high dynamic range W-band CW/pulse RF power meter for the US Army’s application in the development of W-band radar and satellite communications. Base on unique noise reduction technique in MagiQ technologies, The power meter can operate in a hi ...

    STTR Phase I 2019 Department of DefenseArmy
  9. (SMET) Tele-Operation Feedback System

    SBC: TRITON SYSTEMS, INC.            Topic: A18BT025

    Triton Systems Inc. will work in collaboration with an academic partner to develop a model for a system to dynamically calculate the Center of Gravity (CoG) of a wheeled Squad Multipurpose Equipment Transfer (SMET) vehicle. The Army has tested several SMET vehicles of varying widths and heights and arrived at the conclusion that they ALL roll over, particularly if the vehicle is traversing the ter ...

    STTR Phase I 2019 Department of DefenseArmy
  10. Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF18BT010

    The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

    STTR Phase I 2019 Department of DefenseAir Force
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