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. Securing the Internet of Things in Tactical Environments

    SBC: Kalos Technologies, Inc.            Topic: AF16AT10

    Kalos Technologies Inc. (Kalos) and Temple University submit together this STTR Phase I proposal entitled Securing the Internet of Things in Tactical Environments to the Air Force in response to solicitation topic AF16-AT10: Securing the Internet of Things. It is the Kalos and Temples effort in the development of hardware-based security, embedded system security, secure communication, and secure I ...

    STTR Phase I 2016 Department of DefenseAir Force
  2. Diversified Hypervisors

    SBC: SIEGE TECHNOLOGIES, LLC            Topic: AF16AT11

    The widespread adoption of cloud computing resources has resulted in the proliferation of virtualization technologies.New technology begets new attack vectors; consequently, a new breed of malware techniques have emerged that detect the presence of a virtual machine or hypervisor and respond by directly attacking the hypervisor in an attempt to breakout of the virtual machine container. To counter ...

    STTR Phase I 2016 Department of DefenseAir Force
  3. Topological Signal Analysis for Multi-Modal Data Analysis

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: AF16AT12

    Extracting information from different modalities of data is one of the greatest challenges in this era of exponential data growth, as well as one of the most promising horizons for the development of new capabilities for military, commercial, and scientific applications. Virtually all areas of defense, industry, and science are becoming increasingly dependent on the ability to analyze multimodal d ...

    STTR Phase I 2016 Department of DefenseAir Force
  4. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. Customizing Security for Diverse IoT Endpoints

    SBC: Samraksh Company, The            Topic: AF16AT10

    Endpoints in the Internet of Things (IoT) vary considerably in their hardware-software architecture and their functional capability. The IoT marketplace is unlikely to converge on a single or a few dominant endpoint platforms in the near term and potentially even long term future.This creates a major problem and an opportunity for securing IoT endpoints that are being increasingly integrated in cr ...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Computation of Structural Energetic Materials Under Shock Loading: a Meso-Scale Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF16AT23

    Structural energetic materials or multifunctional energetic materials offer the ability to combine the high energy release rates of traditionalhigh explosives with structural strength. When successfully formulated therefore they can lead to light-weight, high-performance and hithertoinaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so th ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Electrochemical Micro-Capacitors Utilizing Carbon Nanostructures

    SBC: MAINSTREAM ENGINEERING CORP            Topic: DMEA13B001

    The rapid advancement of microelectronics requires equivalently sized energy storage devices to provide energy for microelectromechanical system (MEMS) devices and other technologies. By using a novel approach to fabricate carbon nanotubes (CNTs), our electrodes have a high surface area with an aerial tube density up to 1,000 times greater than typical carpet-grown CNTs. By combining these electro ...

    STTR Phase II 2017 Department of DefenseAir Force
  8. Measurement and Modeling of Surface Coking in Fuel-Film Cooled Liquid Rocket Engines

    SBC: CFD RESEARCH CORPORATION            Topic: AF15AT21

    Designing an efficient and effective film cooling system to protect critical components of modern rocket engines requires a significant number of problems and challenges to be addressed. Complicating the already difficult hydrodynamic challenges, thermal and/or catalytic cracking of hydrocarbon fuels is always accompanied with coke formation. Coke deposits on combustor and nozzle walls reduce heat ...

    STTR Phase II 2017 Department of DefenseAir Force
  9. Additive Manufacturing Plastic Materials with Improved Dielectric Breakdown Strength

    SBC: VOXTEL, INC.            Topic: AF15AT07

    In this Phase II program, Voxtel will design, manufacture, and benchmark-test additive-manufactured (AM) insulators capable of electrical stress greater than 25 kV/mm, for use in high-electric-field applications, such as high-power microwave (HPM) devices. These insulators will sustain vacuum of 10-7 Torr and withstand 20 psi of pressure. To achieve this goal, Voxtel will synthesize readily additi ...

    STTR Phase II 2017 Department of DefenseAir Force
  10. Modeling and Simulation for Design, Development, Testing and Evaluation of Autonomous Multi-Agent Models

    SBC: EDUWORKS CORPORATION            Topic: AF15AT14

    U.S. forces are benefiting from automation systems of unprecedented sophistication, empowered by advances in artificial intelligence (AI) and human-systems interaction. In air combat operations, onboard intelligent assistants monitor the aircraft, interpret and carry out commands, and report aircraft and system status, mission progress, threats and alerts. Because pilots and agents are part of a n ...

    STTR Phase II 2016 Department of DefenseAir Force
US Flag An Official Website of the United States Government