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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. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. 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
  4. A universal framework for non-deteriorating time-domain numerical algorithms in Maxwell's electrodynamics

    SBC: COMPUTATIONAL SCIENCES LLC            Topic: A13AT008

    The project will remove a key difficulty that currently hampers many existing methods for computing unsteady electromagnetic waves on unbounded regions. Numerical accuracy and/or stability may deteriorate over long times due to the treatment of artificial outer boundaries. We propose to develop a universal algorithm and software that will correct this problem by employing the Huygens'principl ...

    STTR Phase I 2013 Department of DefenseArmy
  5. Automated Blood Component Separator

    SBC: Antek            Topic: A10AT026

    The objective of the proposed research is to develop a portable, passive system for rapid and efficient blood component separation. While a number of macro-scale devices are routinely employed in laboratory settings to separate, for example, red blood cells (RBCs) from platelet-rich plasma (PRP), and an emerging class of microfabricated devices are slowly being developed to address various low-th ...

    STTR Phase I 2010 Department of DefenseArmy
  6. Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing

    SBC: ELEMENTUM 3D, INC.            Topic: A18BT003

    There is a need for easy-to-use, versatile alloys for additive manufacturing that print consistently regardless of the specific process or machine, or the metallurgical and manufacturing knowledge of the user. Such capability is especially critical for soldiers to be able to make every day items on demand in the theater of war. Toward meeting this need, recent successes developing high performance ...

    STTR Phase I 2019 Department of DefenseArmy
  7. DIPAIN based assay for the T-2 Toxin

    SBC: L. C. PEGASUS CORP.            Topic: A10AT021

    This proposed project is to develop a rapid assay for T-2 Toxin. Under this project we will develop DIPAIN-derivative based test-strips that indicate the presence of trace quantities of trichothecene mycotoxins in aqueous solutions. The T-2 toxin will be used as a test case for this effort. We will use of 2-(diphenylacetyl)-l,3-indanedione-l-hydrazone (DIPAIN II) and its derivatives as reagents o ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Disablement of Vehicles and/or Remote Weapon Stations in an Urban Environment

    SBC: Integrated Solutions for Systems, Inc.            Topic: A18BT013

    In an effort to address the needs laid out in the solicitation, “Disablement of Vehicles and/or Remote Weapon Stations in an Urban Environment”, IS4S plans to develop a weapon system that allows for the disablement of critical components in electronic systems. Current soldier delivered weapons fail to meet the requirements of low collateral damage engagement in civilian populated areas. The so ...

    STTR Phase I 2019 Department of DefenseArmy
  9. Hybrid Nano-Bio-Electronic Odor Detector

    SBC: JAN BIOTECH, INC.            Topic: A18BT012

    The goal is to develop a volatile odor detector using mammalian olfactory receptors (ORs) integrated with metal-oxide-semiconductor (CMOS) nanoelectronic circuits. The Army has urgent need for cost-effective odor sensing for novel biological materials integrated with inorganic devices to sense chemical and biological agents. However, e-noses still do not possess the dynamic range and selectivity o ...

    STTR Phase I 2019 Department of DefenseArmy
  10. Incremental Learning for Robot Sensing and Control

    SBC: Net-Scale Technologies, Inc.            Topic: A09AT030

    This proposal addresses key open challenges identified during the LAGR program for the practical use of adaptive, vision-based robot navigation in commercial settings. First, the adaptive vision system learns quickly, but forgets as quickly. This will be addressed by using an ensemble of "expert" classifiers, each of which specializes for a particular environment and can be quickly activated when ...

    STTR Phase I 2010 Department of DefenseArmy
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