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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. A High Performance and Cost Effective Ultra High Performance Concrete

    SBC: i2C Solutions, LLC            Topic: AF12BT04

    ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: EH GROUP INC            Topic: N19BT029

    Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...

    STTR Phase I 2019 Department of DefenseNavy
  3. 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
  4. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N10AT010

    A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent lack of toughness under foreign object Damage (FOD) as well as post FOD. Our team will develop and demonstrate a physics-based model for FOD/post FOD in CMC’s. The model will incorporate physical mechanisms associated with impact for two different CMC systems: a) ma ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: N&R ENGNERING MGT SUPPORT SVCS            Topic: N10AT010

    The Phase I deliverable will be a physic-based model which represents a CMC gas turbine component concomitantly at the material level and the structural level. This model will be probabilistically analyzed to account for the uncertainties in material properties and the uncertainties in the size and impact velocities of possible foreign objects (FOD). A ceramic material must display sufficient capa ...

    STTR Phase I 2010 Department of DefenseNavy
  6. An automated and programmable microfluidic platform for combinatorial gene assembly and biosynthesis applications

    SBC: HJ SCIENCE & TECHNOLOGY INC            Topic: ST12B003

    HJ Science & Technology (HJS & T) and the Joint BioEnergy Institute (JBEI) propose to develop an automated, software-controlled, programmable, low-cost, and compact platform capable of running rapid and complex bioengineering processes and optimization of new biomanufacturing systems. Our approach combines the microfluidic automation technology of HJS & T with the novel synthetic biology technolo ...

    STTR Phase I 2013 Department of DefenseDefense Advanced Research Projects Agency
  7. An Automated, High Throughput, Filter-Free Pathogen Preconcentrator

    SBC: CFD RESEARCH CORPORATION            Topic: A10AT016

    Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...

    STTR Phase I 2010 Department of DefenseArmy
  8. An improved passivation process for the fabrication of high performance antimony based III-V superlattice materials

    SBC: IRDT Solutions, Inc            Topic: MDA12T003

    Phase I objective is to demonstrate the feasibility of our proposed passivation approach to minimize the dark current noise and improve the quantum efficiency in the GaSb based type II superlattice detectors. Phase I goal is to demonstrate the feasibility of our technology to fabricate photodiodes with cut-off wavelength in excess of 10µm, quantum efficiency exceeding 70% and dark current density ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  9. An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing

    SBC: Citrine Informatics, Inc.            Topic: N18AT013

    In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

    STTR Phase I 2018 Department of DefenseNavy
  10. An Integrated Physics-Based Framework for Detecting Precursor to Damage in Naval Structures

    SBC: Los Gatos Research            Topic: N10AT042

    Aging aircraft commonly suffers from several types of degradation including fatigue cracking and lack of bonding. It is virtually impossible to predict degradation in structural performance or when a component or structure will fail due to the inability to test new material systems under all loading conditions and under all environmental conditions. A material state awareness system using minimali ...

    STTR Phase I 2010 Department of DefenseNavy
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