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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. Decontamination storage bags for chemical and biological warfare agents

    SBC: MATERIALS MODIFICATIONS INC            Topic: A10AT003

    This STTR Phase I project will develop a novel toxic material storage bag with an inner liner capable of decontaminating chemical and biological warfare agents (CBWA’s).. The inner-liner technology would entail adsorption and decomposition of warfare agents without the release of toxic agents, and will result in a storage bag capable of being disposed of in an environmentally safe fashion. The ...

    STTR Phase I 2010 Department of DefenseArmy
  2. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination MP 39-10

    SBC: METRON INCORPORATED            Topic: A10AT020

    Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

    STTR Phase I 2010 Department of DefenseArmy
  3. Non-destructive Exfoliation and Drying of Anisotropic Nanomaterials

    SBC: NANOSONIC INC.            Topic: A09AT021

    The overall goal of this proposed Army STTR is to demonstrate low-cost, non-destructive methodologies for non-agglomerating drying of anisotropic nanomaterials. NanoSonic and Virginia Tech will work in tandem to demonstrate novel approaches involving both high performance coatings and CO2 processing that facilitate gentle, simultaneous drying and exfoliation of nanoparticles, preventing agglomera ...

    STTR Phase I 2010 Department of DefenseArmy
  4. Incremental Learning for Robot Sensing and Control

    SBC: SET ASSOC. CORP.            Topic: A09AT030

    SET Corporation, together with Carnegie Mellon University''s National Robotics Engineering Center (NREC), will develop a system that leverages state-of-the-art sensing, perception, and machine learning to provide trafficability assessments for UGVs for agricultural, security and military applications. It will consist of a set of proprioceptive and exteroceptive sensors that provide rich data about ...

    STTR Phase I 2010 Department of DefenseArmy
  5. Multi-input Multi-output Synthetic Aperture Radar with Collocated Antennas

    SBC: TRIDENT SYSTEMS LLC            Topic: A10AT005

    The enormous effort devoted to the data acquisition, signal processing, and automatic recognition of stationary targets has resulted in a generation of synthetic aperture radar (SAR) systems that are meeting the challenge of real-world conditions. However, in a practical battlefield, moving targets may pose a more severe threat than stationary targets. Many high value targets are only vulnerable w ...

    STTR Phase I 2010 Department of DefenseArmy
  6. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10AT012

    Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...

    STTR Phase I 2010 Department of DefenseArmy
  7. Improved Sensing Using Simultaneous Orthogonal Spectroscopic Detection

    SBC: Applied Systems Research, Inc.            Topic: A09AT019

    US forces are increasingly involved in asymmetric warfare, peacekeeping and humanitarian assistance missions. These scenarios can place soldiers in direct contact with harmful biological and chemical warfare organisms and agents, toxic industrial chemicals, and explosives. Current portable sensor technology solutions rely on visible and near-IR Raman or Fluorescence spectroscopy. But operations ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Collaborative Tools for Integrated Hazard Management

    SBC: ELECTRICAL DISTRIBUTION DESIGN            Topic: A05T026

    Electrical Distribution Design (EDD), Virginia Tech and Detroit Edison propose development of model-based human-genetic and data mining algorithms that can be fully integrated with other operations and design software applications through attachment to a common model. Work will be based on extension of EDD's existing Generic Analysis approach, which is currently being used commercially for power ...

    STTR Phase I 2005 Department of DefenseArmy
  9. Improved Hemorrhage Detection Technology for a Robotic HIFU Manipulator System

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: A05T032

    In this STTR, Luna Innovations, Inc., the University of Mississippi's National Center for Physical Acoustics (NCPA), and Robotics Research Corporation will develop an automated system for delivering high intensity focused ultrasound (HIFU) to the location of a severe bleed using a robotic manipulator arm. In Phase I, Luna and the NCPA will test improved methods for locating and quantifying severe ...

    STTR Phase I 2005 Department of DefenseArmy
  10. Hybrid Neural Network/Parametric Models for State and Trait Estimation in Performance Modeling

    SBC: PULSAR INFORMATICS, INC.            Topic: A05T029

    In sustained military operations involving round-the-clock missions and travel around the globe, biomathematical models of human performance have potential as tools for predicting the fatigue and performance of sleep-deprived soldiers. This project investigates hybrid neural network/parametric models to address specific gaps in current performance models, identified in the 2002 Fatigue and Perfor ...

    STTR Phase I 2005 Department of DefenseArmy
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