You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Compact robust testbed for cold-atom clock and sensor applications

    SBC: COLDQUANTA, INC.            Topic: N13AT018

    Our goal in this Phase II effort is to construct and test a compact, robust testbed for generating laser-cooled strontium atoms on a mobile platform. The focus of the Phase I effort was designing and fabricating an ovenized strontium source that also serves as a 2D+ MOT cell. In Phase II, we will integrate the strontium source into an all-glass-and-silicon vacuum system maintained by a miniature i ...

    STTR Phase II 2015 Department of DefenseNavy
  2. LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)

    SBC: ROBOTIC RESEARCH OPCO, LLC            Topic: N13AT016

    Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.

    STTR Phase II 2015 Department of DefenseNavy
  3. Proactive Contextual Decision Support for Decision Making Under Uncertainty

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N13AT020

    Current decision tools often omit important situational context. Unfortunately, this can lead to dangerous and costly errors, as context drives decision making. For example, in operational navigation planning tasks, decisions must be made that rely on multiple information sources of different fidelities and uncertainties. Furthermore, after obtaining additional information the necessity for replan ...

    STTR Phase II 2015 Department of DefenseNavy
  4. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
US Flag An Official Website of the United States Government