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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. 3D Tomographic Scanning Microwave Microscopy with Nanometer Resolution

    SBC: Alcatera Inc.            Topic: A17AT008

    Near-Field Scanning Microwave Microscopy (SMM) is a technique relying on a raster scan of a microwave probe across a sample surface, while measuring its reflected microwave signal. The existing technologies are limited to the surface analysis, and are not compatible with liquid environment. These limitations are addressed by the proposed wideband 3D tomography SMM with sub-surface analysis capabil ...

    STTR Phase I 2017 Department of DefenseArmy
  2. DREAMIT- Design, Reconfigure and Evaluate Autonomous Models in Training

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF15AT14

    Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitions

    SBC: MAKEL ENGINEERING, INC.            Topic: DTRA16A001

    This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  5. Development of a Micro-glider for Oceanographic Air-Sea Interaction Sampling

    SBC: MRV SYSTEMS LLC            Topic: N14AT020

    This proposal is a collaborative effort between MRV Systems and the Woods Hole Oceanographic Institution. The goal is to develop a new, small, inexpensive autonomous vehicle to investigate mixed layer dynamics and turbulent mixing. The preliminary Phase I design, a Diagonally Operating Platform (DOP), is a profiling float with moveable fins. DOP will turn toward an intended direction within a few ...

    STTR Phase II 2016 Department of DefenseNavy
  6. Developing a Clostridium molecular toolkit for bioconversion of food waste

    SBC: SYNVITROBIO, INC.            Topic: A17AT011

    Waste generation at forward bases creates significant challenges; its disposal presents an economic cost with no direct benefit and its accumulation or burning is a health hazard. The bioconversion of waste into useful compounds could save thousands annually for every soldier and tens of millions in capital expenditure. However, widespread adoption is impeded by low conversion efficiency. We propo ...

    STTR Phase I 2017 Department of DefenseArmy
  7. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: Ocean Bay Information and Systems Management, LLC            Topic: DLA15C001

    "Micro-calorimetry is a Nondestructive Test (NDT) capable of detecting heat characteristics that could identify improperly processed, counterfeit, substandard, nonconforming or fake raw material prior to materials introduction into end-product production cycles. Current calorimetric technology is an extremely sensitive, expensive and time consuming process, utilizing an adiabatic or semi-adiabat ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  8. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: Ocean Bay Information and Systems Management, LLC            Topic: DLA15C001

    Inspecting for and detecting counterfeit, unapproved material substitutions or substandard processed raw material using existing processes is difficult, time consuming and expensive.Ocean Bay, LLC and the Primary Investigator, Karen Bruer, formed a team consisting of Ocean Bay, LLC, Savanah River National Laboratory and Old Dominion University, to apply for DLA15C-001:Detecting Substandard, Noncon ...

    STTR Phase II 2017 Department of DefenseDefense Logistics Agency
  9. Degraded Synthetic Training Using an Integrated Kinetic-Cyber Training Environment

    SBC: Scalable Network Technologies, Inc.            Topic: N17AT023

    Integration of kinetic training and cyber training will provide a unified platform for combined cyberspace/kinetic battlefield training for our warfighters. Such a training platform will support high-fidelity, multi-factor simulated engagements in which the trainee can be exposed to all domains that are simultaneously interacting with each other. Existing approaches do not accurately reflect the d ...

    STTR Phase I 2017 Department of DefenseNavy
  10. 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
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