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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. Recycling Fast-Response Atom Interferometer for Navigation (ReFRAIN)

    SBC: PHYSICAL SCIENCES INC.            Topic: OSD221006

    Physical Sciences Inc. (PSI) will develop a Recycling Fast-Response Atom Interferometer for Navigation (ReFRAIN) as an atom interferometer (AI) accelerometer specially designed to improve inertial navigation systems (INS) on moving platforms.  The ReFRAIN provides sensitivity, dynamic range, bandwidth, and bias stability that matches or exceeds state of the art mechanical accelerometers.  PSI in ...

    SBIR Phase I 2022 Department of DefenseOffice of the Secretary of Defense
  2. High Acceleration and Hypervelocity Inertial Measurement Unit

    SBC: NANOHMICS INC            Topic: OSD181001

    Nanohmics proposes to develop a chip-scale inertial measurement unit (IMU) for munitions applications. The miniaturization is key to extreme-G survivability and operation. Models and simulations will provide primary support for the feasibility and a hardware demonstration will provide additional proof-of-concept and improve the program risk assessment prior to a Phase II program.

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  3. Electro-optical Seeker

    SBC: CERANOVA CORP            Topic: OSD181002

    Execution of long-range weapons capabilities reduces risk and affords greater warfighter protection. Core enabling technologies for hypersonic projectiles include high-strength lightweight materials, precision avionics, and novel designs. System demands include the ability to withstand both high accelerations (up to 50,000 Gs) and aerothermal shock. Detailed structural engineering and shock modeli ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  4. Scalable Low-Cost AESA Transmitter with Phase-Only Nulling

    SBC: PARRY LABS, LLC            Topic: SCO182002

    Parry Labs proposes the development and fabrication of a scalable, low-cost, transmit only wideband active electronically scanned array (AESA) operating in Ku band. Operating at Ku band maximizes aperture gain while also minimizing physical size and transmission loss due to rain and other atmospheric effects. The proposed system will be based on a scalable tile building block that can be used to c ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  5. Low-Cost, Transmit-Only, Active Electronically Steered Array (AESA) with Phase-Only Nulling (1000-471)

    SBC: SI2 TECHNOLOGIES, INC            Topic: SCO182002

    SI2 proposes to leverage prior Government funded efforts to develop a transmit (TX) only, wideband (6:1 bandwidth), low-cost, scalable active electronically scanned array (AESA) that will utilize phase-only nulling to enable radar, Electronic Warfare / Electronic Attack (EW/EA), Information Operations (IO) and other capabilities on multiple platforms across DOD agencies. The array will employ digi ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  6. High Velocity Gun-Launched Projectile and Sabot Structures

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: SCO182003

    The development of a guided hypervelocity projectile (HVP) must surmount a number of significant technical challenges. Texas Research Institute Austin (TRI Austin) proposes to address leading edge/control surface challenges, sabot design, and the sub-projectile issues through the selection of materials, material processes, and component manufacturing methods. TRI Austin has assembled a team of tec ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  7. Deep Reinforcement Learning for Model Training with Simulated Imagery/Next Century Corporation

    SBC: Next Century Corporation            Topic: SCO182006

    Next Century Corporation proposes the development of the Computer Vision Synthetic Image Generation Harness for Training and Testing (CV SIGHTT), a prototype system that learns to train a generation-based image recognition system for low-shot detection in the remote sensing domain. CV SIGHTT will use Deep Evolution Strategies to select the procedure for synthetic image generation, choosing the one ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  8. Analog-Digital Hybrid ASIC Implementation of Miniaturized Neural Nets/Portmanteau Industries, LLC

    SBC: Portmanteau Industries, LLC            Topic: SCO182007

    The vision of truly autonomous, smart, and powerful edge devices requires the ability to perform intensive machine learning tasks with limited size, weight, and power budgets. We propose a highly efficient ASIC design that enables edge devices to achieve this vision.

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  9. A High-Throughput and Energy-Efficient Hardware Processor for Vision-based Object Detection Systems/Intelligent Automation, Inc.

    SBC: Intelligent Automation, Inc.            Topic: SCO182007

    We propose to design and implement a high-throughput and energy-efficient FPGA-based hardware processor (accelerator) for the deployment of Convolutional Neural Network (CNN) architectures at real-time embedded and resource-bound environments that have low size, weight, power and cost (SWaP-C) requirements. CNNs have been shown tremendous success in vision-based object detection tasks. Two differe ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  10. REMIX: REconfigurable Machine Intelligence eXtreme compute architecture/Intelligent Computing Machines, LLC

    SBC: INTELLIGENT COMPUTING MACHINES LLC            Topic: SCO182007

    We propose the analysis of a proposed architecture called ReMIX: Reconfigurable Machine Intelligence eXtreme compute architecture. This design is a chip multiprocessor with a non-von Neumann architecture and two layers of Network on Chip that enables low-power, high speed, parallel computations with very high throughput. Rather than have data traverse the memory hierarchy as is typical in von Neum ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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