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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 Manufacturing and Material Measurements Software Tool Weave ™ for the Acceleration and Automation of SEM Image Analysis in the Semiconductor Industry

    SBC: Sandbox Semiconductor Incorporated            Topic: None

    In this Phase I SBIR proposal, SandBox Semiconductor™ proposes to develop an Advanced Manufacturing and Material Measurements software tool called Weave ™ for accelerating and automating SEM image analysis for the semiconductor industry. During the development of a new manufacturing process line for a semiconductor device, tens of thousands of scanning electron microscopy (SEM) images are take ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Fiber Pigtailed On-Chip Mid-infrared Difference Frequency Generation in Silicon

    SBC: OMEGA OPTICS, INC.            Topic: 90102

    Omega Optics will develop a fiber-coupled platform in strained silicon-on-sapphire (SoS) for tunable difference frequency generation in midwave infrared (MIR) with tunable continuous wave sources in the near-infrared (NIR). Stress exerted by silicon nitride on underlying silicon induces second-order nonlinear susceptibility. NIR light is coupled into silicon and MWIR light is coupled out of silico ...

    SBIR Phase I 2016 Department of CommerceNational Institute of Standards and Technology
  3. Gap-Free Model-Based Engineering for Manufacturing and Analysis: Digital Thread without Translation

    SBC: Nvariate, Inc.            Topic: None

    Modern Model-Based Enterprise / Engineering (MBE) systems rely on freeform surfaces built as complex combinations of geometric primitives to define engineered objects. Unfortunately, the intersection of freeform surfaces in MBE applications results in highly approximated solutions, degrading models that cost billions annually by US industry to fix. Current technology limits the abilities of users ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  4. 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
  5. 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
  6. Large-Area, High-Uniformity Photodiodes for Infrared Trap Detectors

    SBC: AMETHYST RESEARCH INC            Topic: 9020168R

    methyst Research Inc. will design, fabricate and test a high uniformity, large area, low noise infrared trap-detector detector for the 1- 4.5 μm wavelength range. This state of the art detector will have a large area (e.g., 1-1.8 cm diameter active area) with a spatial variability of internal quantum efficiency of less than 0.1 % between 1 μm and 4.5 μm. In addition, the internal quantum effici ...

    SBIR Phase I 2015 Department of CommerceNational Institute of Standards and Technology
  7. Moving Target Defense

    SBC: SECURBORATION, INC.            Topic: OSD153004

    This proposed innovative approach, called Container Hopping At Random Intervals Or Targeted-attacks (CHARIOT), provides a dynamic moving target to keep our adversaries off guard with minor impact on the systems overall performance while providing a reduced attack-surface. CHARIOT will provide a novel capabilities to confuse and mislead potential attackers, thus reducing their chance of successful ...

    SBIR Phase I 2016 Department of DefenseOffice of the Secretary of Defense
  8. Pre-concentrator for Capture of Trace Fluorocarbons

    SBC: XPLOSAFE LLC            Topic: 90108

    While fluorocarbons are released in relatively small amounts, they can have half-lives in the atmosphere as long as 50,000 years. However, they have extremely high global warming potential relative to other greenhouse gases, so that even small atmospheric concentrations can have large effect on global temperatures. For this reason, monitoring atmospheric concentrations of these compounds, identify ...

    SBIR Phase I 2016 Department of CommerceNational Institute of Standards and Technology
  9. Quantum Adversarial Machine Learning

    SBC: VCRSOFT LLC            Topic: SCO183001

    We propose a quantum adversarial machine learning (QAML) approach that combines ideas from different classical AML techniques such as Defense-GAN and thermometer-encoding of inputs. We propose an implementation of Defense-GAN on the D-Wave Leap quantum computing environment. We also propose to leverage ideas from quantum information science such as noisy inputs/outputs/parameters to improve the ro ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  10. Secure Edge Computing with Encrypted Neural Networks

    SBC: VCRSOFT LLC            Topic: SCO182009

    Homomorphic Encryption (HE) allows for training and deployment of neural networks on encrypted data. Furthermore, HE allows for encryption of neural network model parameters such as weights. Thus, HE provides robustness against both black-box and white-box attacks. In the emerging cloud-based AI environments with edge computing nodes, HE enables privacy-preserving training and deployment of neural ...

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