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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. UrbanScale: Physics Informed Deep Learning Framework to Generate High-Resolution Urban Temperature Data

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 91

    Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. DeepSpace-AI – A Deep-Learning Based Offshore Monitoring System Using Satellite Imagery

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 93

    Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to ...

    SBIR Phase II 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  3. DeepSpace-AI- A Deep-Learning Based Offshore Monitoring System Using Satellite Imagery

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 93

    High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  4. DeepCTIS: A New Low-Cost Hyperspectrual Imaging Module and Distributed Deep Learning Platform to Combat Illegal, Unreported, and Unregulated Fishing in the Marketplace at Scale

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 9202

    We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  5. DeapSeaVision-AI

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 832

    Marine life entanglement is one of the critical permitting issues that is currently constraining the growth of domestic offshore aquaculture. Synthetik Applied Technologies is proposing to develop a low-cost entanglement detection system for offshore aquaculture operators. The system will use a combination of near real-time satellite imagery, intelligent on-site cameras (both above and below the w ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Deep Sea Vision AI: Deep Learning-Based Real-Time Marine Animal Detection for Entanglement Mitigation

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 832

    TECHNICAL ABSTRACT: The objective of this project is to develop and implement a real-time detection and warning system to mitigate marine entanglement events in offshore aquaculture operations. In order to achieve this, we leverage the latest advances in computer vision, deep learning, and real-time object detection to develop a real-time marine life detection, classification and tracking pipeline ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
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