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. SWAC3: Secure Wireless Architecture for Combat Casualty Care

    SBC: Intelligent Automation, Inc.            Topic: A14051

    Current practice for handling pre-hospital documentation is primarily paper based with several major limitations such as ease of loss or destruction, susceptibility to the environment, etc., which along with other factors have been identified as the reasons for the lack of pre-hospital care documentation. Moreover, the information related to care rendered by one unit (e.g., first responders at the ...

    SBIR Phase II 2018 Department of DefenseDefense Health Agency
  2. Noninvasive Monitor of Vascular Volume Fluid Shifts

    SBC: INNOVITAL SYSTEMS INC            Topic: DHP17007

    Accurateintravascularvolumeassessment improves the detection of hemorrhageand hypovolemiaand facilitates decision-makingrelativeto resuscitation,surgery,and selection of higher level ofmedical care. Non-invasiveassessment techniquesare particularly important in thefield. Currentapproachesand devices do not have broad utilityand availability. Duringthe PhaseIeffort, the project team developed alow- ...

    SBIR Phase II 2018 Department of DefenseDefense Health Agency
  3. Virtual Medical Concierge Application

    SBC: Heron Systems, Inc.            Topic: DHP15003

    Enterprises across industry sectors face a common challengehow can they track, analyze and interact with employees, assets and customers based on their movement and physical location Existing solutions, GPS and Wifi, are expensive, battery intensive a

    SBIR Phase II 2018 Department of DefenseDefense Health Agency
  4. Applications Using New Satellite Communications Constellations

    SBC: EMERGENT SPACE TECHNOLOGIES, INC.            Topic: AF172009

    Proposed NGSO communications constellations will provide global coverage with significantly increased bandwidth with the commercial objective of providing world-wide internet access. These constellations are expected to exceed a megabit/second and can be used to augment existing Air Force communication satellite assets. The hardware required to interface with these constellations will also have si ...

    SBIR Phase I 2018 Department of DefenseAir Force
  5. Software system facilitating the use of commercial NGSO SATCOM constellations for Air Force Missions

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF172009

    In this proposal, to facilitate the use of emerging commercial non-geostationary orbit (NGSO) satellite commucniation (SATCOM) systems, Intelligent Fusion Technology proposes to develop a software system that is able to address serveral key problems in the acquisition of commercial NGSO SATCOM resources and the effective use of NGSO SATCOM resources in Air Force missions. The proposed software sys ...

    SBIR Phase I 2018 Department of DefenseAir Force
  6. MATILDA: Multi-sensor Automatic Threat Identification and Localization with Deep-learning Architecture

    SBC: Intelligent Automation, Inc.            Topic: AF172010

    Securing forward operating bases (FOBs) is of vital importance to the Air Force for the protection of aircraft, assets, personnel, and facilities. This project aims to develop advanced machine learning technologies that provide real time multi-modality sensor fusion for identification of a various types of threats.Intelligent Automation Inc. (IAI), along with Dr. Tianfu Wu of North Carolina State ...

    SBIR Phase I 2018 Department of DefenseAir Force
  7. Enhanced Oxidation Resistant Graded C-Carbide CMC Via Rapid CVI Process

    SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC.            Topic: AF173008

    Increased space launch payload requirements are driving the need for liquid rocket engines with higher thrust levels, specific impulses and thrust-to-weight ratios. This has triggered significant development efforts in improving the capabilities and reducing the costs of C/C composite nozzle extensions.In contrast to a paper study, this Phase 1 proposal will demonstrate the cost advantages of a ra ...

    SBIR Phase I 2018 Department of DefenseAir Force
  8. Air Force Declassification Office Knowledge Capture and Process Optimization

    SBC: PROGRESSIVE TECHNOLOGY FEDERAL SYSTEMS INC            Topic: AF173017

    PTFS will conduct research, perform analysis, and develop a prototype solution for AFDO to demonstrate how the EO 13526 declassification process can be semi-automated using technology to significantly improve productivity and accuracy. The prototype will be a complete solution allowing evaluation of the cradle to grave declassification process that currently starts with paper documents and ends wi ...

    SBIR Phase I 2018 Department of DefenseAir Force
  9. VTCPresenceReal-time Virtual Presence for Test Cell Monitoring

    SBC: Intelligent Automation, Inc.            Topic: AF181016

    Air Force test cells are complex facilities providing controlled environment for testing/evaluation of supersonic and hypersonic systems and hardware performance at flight conditions. Accurate performance evaluation requires the capability to run controlled, accurate, consistent, and repeatable acceptance tests that rely heavily on monitoring of the cell conditions. Current monitoring systems have ...

    SBIR Phase I 2018 Department of DefenseAir Force
  10. Robust, Adaptive Machine Learning (RAM)

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF181024

    As space becomes increasingly congested and contested space operators must rapidly assess threats with confidence to know what actions can be taken. Machine learning (ML) offers promise in efficiently dealing with these highly complex systems, however a major challenge is producing ML systems which are both robust and adaptable. Applied Defense Solutions (ADS) and the University of Texas at Austin ...

    SBIR Phase I 2018 Department of DefenseAir Force
US Flag An Official Website of the United States Government