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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 Accelerating and Automation of SEM image analysis in the Semiconductor Industry

    SBC: Sandbox Semiconductor Incorporated            Topic: 90

    The goal of this proposal is to create the software Weave™ to automate the extraction of critical dimensions (CDs) from scanning electron microscope (SEM) images for the microelectronics industry. Current best practices for extraction of CDs are that personnel analyze the images one by one, which is tedious, prone to human bias, time-consuming and expensive. Successful implementation of Weave™ ...

    SBIR Phase II 2020 Department of CommerceNational Institute of Standards and Technology
  2. An Optical Imaging System to Characterize Mechanical Deformation at Microscopic Length Scale

    SBC: ADDITIVE MANUFACTURING INNOVATIONS LLC            Topic: 90

    Additive Manufacturing Innovations LLC (AM-Innov) in collaboration with Clarkson University and Naval Research Laboratory (NRL) proposes a new optical imaging system to characterize microscopic deformation of materials. The system, named as a Mechanical Testing at Microscale system (MT@micro), uses a micro-tensile testing device to mechanically load the specimen uniaxially and an optical imaging p ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  3. Pyrocast: Wildfire Forecasting & Data Services

    SBC: Reax Engineering, Inc.            Topic: 90

    This work will develop a real-time wildfire forecast system that automatically detects and forecasts the spread of every fire in the Continental US and updates each forecast in real-time as additional information becomes available. Fire forecast data, which are generated “in the cloud” using high performance computing resources, are transferred to a web server hosting a mobile-friendly web map ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  4. Watertight CAD for Integrating Isogeometric Analysis into the Model-Based Enterprise

    SBC: Nvariate, Inc.            Topic: 90

    Today’s Computer-Aided Design (CAD) applications utilize restrictive mathematical assumptions to approximate the compound geometric intersections necessary to represent real-world products. As a result, critical information is not represented within the Model-Based Definition (MBD) for downstream users in the digital thread, forcing engineers to manually repair CAD models and convert them into d ...

    SBIR Phase II 2020 Department of CommerceNational Institute of Standards and Technology
  5. Standardizing Grease Sampling and Characterization By Automated Online Device

    SBC: POSEIDON SYSTEMS, LLC            Topic: 90

    Scheduled grease sampling is one of the more reliable methods for detecting mechanical issues within machinery. Offline laboratory‐based analysis of the grease can indicate component failures, such as spalling via high concentrations of ferrous particulates. However, consistency, costs, and frequency of sampling are less than ideal. Manually collecting grease samples can put personnel in danger ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  6. High-Precision TEM Topography Mapping

    SBC: NANOELECTRONIC IMAGING, INC.            Topic: 90

    NanoElectronic Imaging, Inc. (NEI) is developing techniques for mapping signals in the transmission electron microscope (TEM) that are normally inaccessible. In this Phase I SBIR project, NEI will build on preliminary results to develop a quantitative, TEM-based topographic mapping technique with the potential for atomic resolution in all three spatial dimensions. This precision would be akin to a ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  7. Feasibility of Using a High-speed AI-driven Experimental Platform to Develop an Optimized DNA Template for Cell-free Protein Expression

    SBC: BigHat Biosciences, Inc.            Topic: 90

    We propose to demonstrate the feasibility of using a high-speed artificial intelligence (AI)-driven experimental platformto optimize the DNA template for cell-free protein synthesis (CFPS) to maximize protein expression. Our platform isdesigned to rapidly find an optimal DNA sequence among millions of possible sequences through repeated designbuild-test cycles: AI is used to design the DNA templat ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  8. High Throughput, High-Pressure Small-Angle Neutron Scattering Sample Environment

    SBC: STF TECHNOLOGIES LLC            Topic: 90

    We address a need of the neutron user community by creating a minimum viable prototype of the only high-throughput hydrostatic pressure small angle neutron scattering sample environment (HTHP-SANS-SE). Our HTHP-SANS-SE will greatly improve the ease of use and reliability of measurements under extreme environments, thereby increasing throughput on the beamline and expanding feasibility. Current HP- ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  9. Enabling the Rapid Creation of Custom Predictive Models with GOES-16 and NEXRAD Data

    SBC: ONAI INC.            Topic: 9401

    NOAA's Big Data Project (BDP) has made several valuable datasets available on major cloud platforms. While a critical step, many organizations that would benefit from the data are not technologically capable of performing state-of-the-art machine learning. We propose to unlock the power of the data for those who can most benefit by developing technology that automatically trains deep learning mode ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  10. Interactive Visualization of 3D NEXRAD Data in Virtual Reality

    SBC: BADVR INC            Topic: 9401

    This project will create a proof-of-concept application that visualizes 3D NEXRAD data from NOAA's Big Data Project inside virtual reality (VR). By integrating unique processing and projection algorithms into low-cost VR headsets, this initiative will increase the accessibility of data to meteorologists, fire departments, and first responders during critical decision-making. During the recent Cal ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
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