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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: ATA ENGINEERING, INC.            Topic: N17AT009

    ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...

    STTR Phase I 2017 Department of DefenseNavy
  2. Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER)

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: AF16AT05

    ExoAnalytic Solutions, teamed with Texas A&M University and Georgia Institute of Technology, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in near-geosynchronous orbit (GEO) using a rapidly-constructed low-cost ground based electro-optic (EO) sensor wit ...

    STTR Phase II 2017 Department of DefenseAir Force
  3. Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA15T001

    ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase I 2017 Department of DefenseArmy
  5. Advanced Printed Circuit Board Design Methods for Compact Optical Transceiver

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A15AT001

    As the warfighter is increasingly using more highly integrated instruments, e.g. a laser rangefinder (LRF) combined with a laser designator and an imager, the need to decrease the size of these components becomes more important.Compact small munition applications of rangefinders particularly place an emphasis on size of the optical front end.In order to make the transceiver more compact, special a ...

    STTR Phase II 2017 Department of DefenseArmy
  6. Simultaneous Time-Resolved Gas and Particle Flow Measurements in a Multiphase Blast Using Particle Imaging Velocimetry and Novel Phase Separation Techniques

    SBC: METROLASER, INCORPORATED            Topic: AF17AT020

    An experimental method is proposed to enable time-resolved measurements of both gas and particle velocities in explosions containing particles for munitions research. The approach involves novel processing methods for two-dimensional images that allow discrimination of the image content based on particle size. This allows an image containing a poly-dispersed distribution of particles to be decompo ...

    STTR Phase I 2017 Department of DefenseAir Force
  7. In-Mask Sensors for Physiological Investigation of Respiratory Exhalation- INSPIRE

    SBC: MAKEL ENGINEERING, INC.            Topic: DHP16C002

    Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  8. Innovative Physics-based Modeling Tool for Application to pRFID System on Rotorcraft

    SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC.            Topic: N15AT005

    We propose development of a software capability which, based on use of accurate and efficient exact-physics computational electromagnetics (CEM) solvers together with CAD-import (Computer Aided Design) and direct CAD-to-EM capabilities, will enable optimization of the properties of on-platform pRFID tag/reader antenna systems. For accuracy and modeling flexibility the proposed codes are based on M ...

    STTR Phase II 2017 Department of DefenseNavy
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