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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. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Anticipatory Analytics for Environmental Stressors

    SBC: ISCIENCES LLC            Topic: A17AT021

    Environmental stresses such as droughts, floods, storms, earthquakes, wildfires, pest infestations, volcanic eruptions, and infectious disease vectors are often key contributing factors to defense interventions, including humanitarian response, counter insurgency, and border control. As a result, early phase military planning activities need to incorporate systematic monitoring and forecasting of ...

    STTR Phase I 2017 Department of DefenseArmy
  3. Artificial Intelligence/Machine Learning to Improve Maneuver of Robotic/Autonomous Systems

    SBC: AUTONOMOUS SOLUTIONS INC            Topic: A17AT019

    Robotic autonomous systems (RAS) are currently being used for many different applications using a wide variety of vehicle platforms. The environments in which RAS are being used are becoming increasingly complex. Vehicle path planning and control is challenging in environments with many obstacles and uneven terrain. This proposed research will develop and compare multiple techniques to improve veh ...

    STTR Phase I 2017 Department of DefenseArmy
  4. Scalable Manufacturing of Graphite Yarns via Wet Spinning Process

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: A17AT013

    Recently, fiber/yarn-based energy-storage systems have attracted enormous attention due to their remarkable promises in smart textiles and high-tech sportswear etc., mainly as more pliable energy-storage units being truly wearable. Storagenergy Technologies Inc. proposes to develop graphite fibers (GFs), which are fabricated by a scalable and cost effective wet spinning approach, and later chemica ...

    STTR Phase I 2017 Department of DefenseArmy
  5. Method for Locally Measuring Strength of a Polymer-Inorganic Interface During Cure and Aging

    SBC: METNA CO            Topic: A17AT016

    A robust, versatile and portable test system will be developed based on the NMR relaxometry/diffusomtry principles for thorough, reliable, expedient and economical nondestructive evaluation of the polymer/inorganic interface structure and properties. NMR relaxometry/diffusometry probes sensitive volumes that can be moved to scan the interface. This nondestructive test measures a number of paramete ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Engineered Strain for Bioconversion of Food Waste to Fuels

    SBC: Technology Holding, LLC            Topic: A17AT011

    The proposed strategy in this STTR proposal for bioconversion of food waste to butanol uses the well-described Clostridium acetobutylicum organism to convert the carbohydrate to the fuel molecule butanol. Based on our teams many years of work with butanol formation and genetic studies of the organism and the advancement of recently developed genetic methods, the team will develop a set of genetic ...

    STTR Phase I 2017 Department of DefenseArmy
  7. Spectrum Analyzer Using Spintronic Radar Arrays

    SBC: Oleandr Scientific LLC            Topic: A16AT016

    We propose to develop a prototype of a novel spintronic spectrum analyzer using arrays of nano-scale magnetic spin-torque detectors. The operation of the proposed spectrum analyzers is based on the recently discovered effects of spin-transfer torque and spin-diode effects in nano-scale magnetic multilayered elements, the fabrication of which became possible due to the recent advances in nano-fa ...

    STTR Phase I 2016 Department of DefenseArmy
  8. Compressive 3D Infrared Imaging

    SBC: DetectIR, Inc            Topic: A15AT007

    DetectIR Technologies, along with Michigan State University, proposes to develop a 3D IR imaging system by integrating carbon nanotube (CNT) based IR detector technology with a compressive sensing method. This proposed effort will produce a portable, non-cryogenic-cooled 3D IR camera that will provide quality 3D images at video frame rates. The proposed camera design will solve several issues ...

    STTR Phase I 2016 Department of DefenseArmy
  9. Ion microtraps with in-situ cleaning and integrated passive and active optical pathways

    SBC: TRANSLUME INC            Topic: A15AT009

    We will design, fabricate, and characterize an ion microtrap equipped with an integrated in-situ cleaning capability and with integrated optical access ports. The trap will be made of optical quality fused silica. The trap design and the fabrication process will allow for future developments, such as the addition of an integrated oven, UHV-maintaining subsystem, and rapid trap exchange with interc ...

    STTR Phase I 2015 Department of DefenseArmy
  10. Stochastic Electromagnetic / Circuit Analysis

    SBC: EMAG TECHNOLOGIES, INC.            Topic: A15AT004

    In this STTR project, EMAG Technologies Inc. and the University of Michigan have joined forces to propose the development of a visual software tool for stochastic analysis of coupled electromagnetic and circuit problems often encountered in EMC/EMI scenarios. The proposed tool will integrate novel and computationally efficient uncertainty quantification (UQ) algorithms with EMAG's commercial EM an ...

    STTR Phase I 2015 Department of DefenseArmy
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