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Muir AI

Muir AI

Muir AI is a climate technology company that offers services and solutions to reduce carbon emmissions that result from the supply chain.

OverviewStructured DataIssuesContributors

Contents

muir.ai
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Analytics
Analytics
Clean technology
Clean technology
Carbon offset
Carbon offset
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Machine learning
Machine learning
Supply chain management
Supply chain management
Location
Seattle
Seattle
0
B2X
B2B
B2B
0
CEO
Harris Chalat
Harris Chalat
0
Founder
Harris Chalat
Harris Chalat
0
Peter Williams
Peter Williams
0
Pitchbook URL
pitchbook.com/profiles...520881-40
Accelerator
Madrona Venture Labs
Madrona Venture Labs
0
Number of Employees (Ranges)
1 – 100
Email Address
info@muir.ai0
Full Address
2800 1st Ave, Office 312, Seattle, WA 981210
Investors
Madrona Venture Labs
Madrona Venture Labs
Soma Capital
Soma Capital
Base10 Partners
Base10 Partners
Founded Date
2022
0
Total Funding Amount (USD)
3,250,000
Latest Funding Round Date
October 3, 2023
Also Known As
Muir0
Latest Funding Type
Seed
Seed

Other attributes

Latest Funding Round Amount (USD)
3,250,000
Overview

Muir AI, also known as Muir, is a Seattle-based climate technology company that focuses on artificial intelligence (AI) solutions for sustainable supply chains. It was founded in 2022 and was named by CB Insights as one of the most promising artificial intelligence startups of 2023.

Platform

Muir's first climate tech solution, called Carbon Origin, uses AI technology to provide estimates of emissions that are created from supply chains used by major corporations. It uses data and technology such as supply chain models, geospatial data, and emissions modeling to generate specific emissions data across supply chains.

To use the platform, corporations input data from various sources including trade, manufacturing, emissions, and geospatial data. It then analyzes the data to identify the amount of carbon emissions that can be attributed to each stage of the supply chain.

The analysis is presented to the corporation in the form of charts showing information such as the actual emissions in units of tons of carbon dioxide equivalent for each stage and how those emissions compare at a global scale. The platform then generates reports that identify the best opportunities to reduce carbon emissions in the supply chain in a cost-efficient manner.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

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