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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 MODEL FOR OZONE DISINFECTION THROUGH FREE RADICAL MECHANISM

    SBC: Bollyky Associates            Topic: N/A

    OZONE IS A VALUABLE ALTERNATE TO CHLORINE FOR THE DISINFECTION OF WASTEWATER AND WATER. IT GENERATES NO CHLORINATED ORGANICS AND LEAVES NO RESIDUALS HARMFUL TO HUMAN HEALTH OR TOXIC TO MARINE LIFE. THE OZONE REACTS THROUGH FREE RADICAL OR POLAR MECHANISMS UNDER WATER TREATMENT CONDITIONS DEPENDING ON PH AND OTHER FACTORS. THE MECHANISM OF BACTERIAL DISINFECTION IS NOT COMPLETELY UNDERSTOOD. THE OZ ...

    SBIR Phase I 1983 Environmental Protection Agency
  2. ARTIFICAL INTELLIGENCE (ROBOT JAMMER)

    SBC: Gaertner W W Research Inc.            Topic: N/A

    N/A

    SBIR Phase I 1983 Department of DefenseArmy
  3. Self-Configuring Residential Conditioned Air Zoning System for Low Energy Homes

    SBC: STEVEN WINTER ASSOCIATES INC            Topic: NA

    Steven Winter Associates, Inc. (SWA) hereby proposes to undertake research to develop a self-configuring residential conditioned air zoning system for low load energy homes. The Phase I prototype will feature zone nodes and a master controller. The zone nodes will measure and wirelessly report environmental conditions to the central controller, and modulate a damper based on commands received from ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  4. A Novel, Nanostructured, Metal-organic Frameworks-Based Product Loss Prevention Technology in the Oil and Natural Gas Sector

    SBC: FRAMERGY INC            Topic: 17NCER2C

    To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logistical system requires natural gas gathering lines, processing facilities, product storage tanks and lots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermit ...

    SBIR Phase I 2018 Environmental Protection Agency
  5. Additive Manufacturing for RF Materials and Antennas

    SBC: Delux Advanced Manufacturing, LLC            Topic: A18020

    To reduce size, weight, power and cost (SWaP-c), military platforms have been evolving towards more integrated platforms that utilize all available space. For radiating systems, this will require exploring innovative design methods, materials and manufacturing approaches to realize cost-effective, customizable and conformal antennas. An attractive solution to this challenge is offered by additive ...

    SBIR Phase I 2018 Department of DefenseArmy
  6. Low-cost Imager for Heavily Degraded Visual Environments

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: A18040

    This project aims to develop a low-cost millimeter-wave (mmW) imaging system for ground vehicles, to operate in combination with a long-wave infrared (LWIR) camera. Such a system will mitigate the challenges of driving in degraded visual environments (DVE) including night time, fog, dust, or smoke by providing real-time image of the vehicle surrounding independent from the presence of naturally oc ...

    SBIR Phase I 2018 Department of DefenseArmy
  7. Data-Driven Authorship Feature Extraction and Comparative Analysis using Machine Learning

    SBC: SONALYSTS INC            Topic: A18054

    Sonalysts will develop the Authorship and Intent Recognition Environment (AIRE), an adaptive platform that provides automated and semi-automated analyses for Information Operations (IO) based on textual information and other data sources. AIRE will use a variety of analytical techniques, including Machine Learning (ML) and Artificial Intelligence (AI) methods, as well more explainable methods such ...

    SBIR Phase I 2018 Department of DefenseArmy
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