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EnviTrace LLC

EnviTrace develops a cloud-based software ecosystem that utilizes science-informed machine learning algorithms for environmental, energy, and earth-science projects. The platform provides robust data management and model analysis to enhance decision-making in areas such as contaminant remediation and geothermal energy development.

Founded 20218300+ followers
Updated 20 months ago

Funding

$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

UD
Funding rounds are not available yet.

Founders

Product

Problem

Environmental, energy, and earth-science projects generate large volumes of complex data that require advanced analytical techniques. Traditional methods often lack the robustness, interpretability, and transparency needed for effective decision-making in these domains. This can lead to suboptimal outcomes in areas like contaminant remediation, geothermal energy development, and urban energy planning.

Solution

EnviTrace offers EnviCloud, a cloud-based software ecosystem that leverages science-informed machine learning (ML) algorithms to enhance environmental project analysis and decision-making. The platform integrates data management, model analysis, and AI tools into a single environment. EnviCloud's algorithms are tailored to specific applications, providing robust, interpretable, transparent, and trustworthy results. The platform is designed to scale in the cloud and on the edge, offering tiered licensing, support, and consulting services.

Target Audience

EnviTrace targets professionals and organizations involved in environmental, energy, and earth-science projects, including those in geothermal development, subsurface energy production and storage, contaminant remediation, and urban energy solutions.

Features

  • Integrated cloud-based software ecosystem for AI/ML analyses related to energy, environmental, and earth-science projects
  • Science-informed ML algorithms customized for specific applications
  • Open-source AI/ML building blocks for transparency and acceptability
  • Prototype applications for geothermal development, energy production & storage, contaminant characterization & remediation, and urban energy solutions
  • Tools for geologic reservoir engineering, induced seismicity, carbon sequestration, water management, wildfire, air quality, and climate changes
  • Capabilities for planning and optimizing geologic engineering projects
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