Mathartsys - Crunchbase Company Profile & Funding

Q: Where is Mathartsys's headquarters?

Mathartsys is located in Shanghai, Shanghai, China.

Overview

Mathartsys

Heat Score

Company Performance Metrics

Score

Trend

About These Metrics

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Growth Score - The measure of growth based on company activity, operational metrics, and investments

Growth Trend - The change in the growth score over the given time period

Heat Score - The measure of the market interest, media activity, and Crunchbase profile activity

Heat Trend - The change in the heat score over the given time period

Recent Milestones

Raised Funding Round

Jan 1, 1970

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Raised Funding Round

Jan 1, 1970

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About Mathartsys

CB Rank

1901261

Mathartsys provides big data services for the automotive industry.

Founded

obfuscation

Private

Shanghai, Shanghai, China

mathartsys.com/

Automotive

Big Data

Information Technology

Details

Legal Name

Shanghai Shuce Software Co., Ltd.

Also Known As

Shuce

Operating Status

Active

Company Type

For Profit

About the Company

Mathartsys provides big data services for the automotive industry. Through the long-term accumulation and verification of the algorithm model group in the automotive industry, the scale and depth of data resource integration, and a deep understanding of industry application scenarios, the company helps automotive companies make better digital

management transformation and business decisions.

Mathartsys was founded in 2011 and is headquartered in Shanghai, China.

Contact Email

sales@mathartsys.com

Predictions & Insights

Growth Prediction

See this Growth Prediction

Products & Services

IDEAS Supply Chain Intelligent Decision Platform

A platform for integrated supply chain planning and decision-making, covering sales, manufacturing, and supply coordination to optimize resource allocation and delivery accuracy.

CSCC 3.0 Collaborative Supply Chain Center

A demand-driven supply chain management platform that automates data collection, integration, analysis, and monitoring to coordinate supply chain demand across multiple factories and customers.