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Mathesis Labs Technologies Private Limited
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Overview
10 - 49
Employees
2020
Year Founded
ABOUT MATHESIS LABS TECHNOLOGIES PRIVATE LIMITED
Digital Transformation for Engineering domain
We specialize in creating products, capabilities, and services for the Automotive, Aerospace, Healthcare, and both Process and Discrete Manufacturing sectors. Additionally, we leverage our domain expertise to provide specialized services to our clients through staff augmentation, managed services, and consulting. Our technical focus includes, but is not limited to, co-development of products and platforms on web and mobile, performance and security testing, and DevSecOps. We also work in areas such as design experience, data engineering with large datasets, visualization, statistics, machine and deep learning, ML Ops, IIoT, RPA, as well as with hyperscalers like AWS, Azure, and GCP, plus IBM, AR, VR, the Metaverse, blockchain, and quantum computing.
LANGUAGES SPOKEN
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HIGHLIGHTS
10 - 49
Employees
2020
Year Founded
Services
Focus
Industries
Clients
Services Provided
100% IT Staff Augmentation
46% Software Development Services
23% Managed Services
18% Business Consulting Services
13% Data Analytics Services
About the Team
OUR STORY
Mathesis Labs is a dynamic startup inspired by the Mathesis Universalis Model, dedicated to advancing businesses through the integration of STEM fundamentals and technological expertise. We specialize in supporting industries such as automotive, healthcare, manufacturing, and semiconductors by addressing their unique challenges through innovative engineering research and development. Our expert team consists of seasoned professionals with decades of experience spanning technology, business management, dental sciences, marketing, human resources, and AI development. By blending science, engineering, and technology, we empower organizations to evolve and thrive in a digital future. Committed to excellence and innovation, Mathesis Labs stands as a trusted partner for transformative solutions that bridge the gap between scientific knowledge and technological application.