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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. Advanced and Additive Manufacturing of Nanostructured Ballistic Alloys

    SBC: MAINSTREAM ENGINEERING CORP            Topic: A16065

    There is an urgent need to improve protection of our soldiers without losing mobility and maneuverability. As personal protection equipment becomes more sophisticated and multifunctional for protection against ballistics, shrapnel, and stabbing, it has also become heavier and more cumbersome. This additional mass can inhibit troop movement and potentially compromise the mission and even survivabil ...

    SBIR Phase I 2017 Department of DefenseArmy
  2. Determining Students' Academic Engagement while Completing Learning Activities and Assessments

    SBC: Tutorgen, Inc.            Topic: edIES15R0005

    With this Phase I funding, the project team will develop and test a prototype of D-TECH, a system to determine students' level of academic engagement while completing computer-based learning activities and assessments. The prototype will integrate within existing third party computer-based programs (e.g., online courseware, educational games, simulations, intelligent tutors) and will consist of a ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  3. Integrated Cookstove-Heating-Electricity Generation for Small homes- Integrated cooking, heating, and electric power generation

    SBC: ASAT, INC.            Topic: 15NCER02

    _x000D_Currently available biomass heating/cooking stoves in Asia and in the USA do not efficiently cook food or heat houses while consuming too much fuel and emitting pollution, resulting in respiratory illnesses and premature death. ASAT specializes in the development and manufacturing of clean burning biomass stoves. In SBIR Phase I, ASAT developed a low emission, fuel efficient Integrated Heat ...

    SBIR Phase II 2017 Environmental Protection Agency
  4. Real Time Terahertz Heterodyne Imaging System

    SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC.            Topic: A17AT007

    Technology Assessment & Transfer, Inc. and collaborators propose the development of a frequency tunable, high dynamic range heterodyne terahertz imager (HTI) with wavelength scale spatial resolution operating at 30 frames per second. The proposed system will leverage the heterodyne imaging techniques already developed by one of the collaborators to achieve frequency tuning and high dynamic range i ...

    STTR Phase I 2017 Department of DefenseArmy
  5. Development of Nonlinear Scanning Microwave Microscopy for 3D Tomographic Imaging at the Nanoscale

    SBC: Next 3D Tech, LLC            Topic: A17AT008

    Scanning microwave microscopy (SMM), capable of quantitatively measuring local electromagnetic properties at submicron length scales, has been widely used in semiconductor industry, materials science, physics, biology and other fields of science and technology. In particular, it offers the unique capability of penetrating into the sample-under-test in a non-invasive and non-contacting manner. Howe ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Multiscale Fast and Distributed Data and Statistics Summarization

    SBC: Intelligent Automation, Inc.            Topic: A17AT010

    This work seeks to demonstrate the wide spread applicability of Geometric Multi-Resolution Analysis (GMRA) to uncover low dimensional structure in large volume and high dimensional data sets. The objective is to show that the GMRA approach applies naturally to a variety of data types and to demonstrate its practical implementation in a scalable data intensive computing environment. The GMRA appr ...

    STTR Phase I 2017 Department of DefenseArmy
  7. VLAD (Vehicle Localization Augmentation for DIsmounts)

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: A17AT017

    The goal of the proposed work is to create a suite of sensor processing algorithms and techniques that will result in the dismount localization system initializing and maintaining a good result while riding in a vehicle. The result of such a goal is that a user will be able to seamlessly exit the vehicle and perform their mission, all while still maintaining a high accuracy localization solution. ...

    STTR Phase I 2017 Department of DefenseArmy
  8. ORION: Operational Robot with Intelligent Off-road Navigation

    SBC: Intelligent Automation, Inc.            Topic: A17AT019

    For operational robots to be truly effective in the battlefield, they would need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities would help them to deal with the challenging real-world problems of off-road navigation, namely, traversability assessment (Capability 1), optimal trajectory computation (Capability 2), and optimal maneuver select ...

    STTR Phase I 2017 Department of DefenseArmy
  9. Additive Manufactured Smart Structures with Discrete Embedded Sensors

    SBC: 3DFlexible Inc            Topic: A17AT024

    Layer-by-layer additive manufacturing (AM) has been flourishing. The next generation AM will be hybrid which includes 3D AM printer, CNC mill, micro-milling capability, CAD/CAM, pick-and-place tool and many interchangeable print engines. In other words, this next generation of printers will be a completely computer integrated system. For the last four years, we have been integrating an industr ...

    STTR Phase I 2017 Department of DefenseArmy
  10. Novel OSINT Platform for Enhanced OSINT Collection

    SBC: ZUESS, INC.            Topic: A16AT006

    The meteoric rise of personally identifying information (PII) created and shared online is unprecedented. The sheer volume of open source intelligence available on sites such Facebook, Twitter, LinkedIn, message forums, Instagram makes the task of collecting and organizing OSINT increasingly laborious for analysts. Novel technologies are largely responsible for creating these challenges, but they ...

    STTR Phase II 2017 Department of DefenseArmy
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