Engineering
Digital
Engineering
Digital
About Mathesis Labs
At MathesisLabs we take a domain first approach.
To that extent understanding the mechanics of the domain is key to driving digital.
Adhering to the philosophy of Mathesis Universalis – STEM is our core and we build this universe with you at center.
Verticals We Cater
Manufacturing
The amalgamation of AI technologies like machine learning, computer vision, natural language processing, and robotics is revolutionizing the manufacturing landscape. It's enhancing productivity, quality, and safety while fostering innovation and competitiveness within the industry.
Healthcare
We are dedicated to emphasizing digital transformation in the healthcare industry. Our innovative products, advanced capabilities, and comprehensive services, including Smile AI and Drug Discovery, empower healthcare organizations to deliver exceptional patient care and shape the future of healthcare.
Automotive
Embrace the limitless potential of automotive connected cars. With real-time data extraction and analysis from vehicle ECUs, our Connected Car solution provides actionable insights and intelligent decision-making capabilities for both fleet operators and individual car owners, optimizing the manufacturing process through the discipline of quantum computing.
Semiconductors
The semiconductor industry is undergoing a profound digital transformation. We empower semiconductor manufacturers with cutting-edge defect detection capabilities, precise identification, and mitigation of defects during the production process. This ensures the delivery of high-quality semiconductor components and enhances overall yield.
Energy
Energy consumption in AI systems is a significant consideration due to the computational intensity of many AI algorithms and the hardware required to run them. Data from solar inverters and other components of a PV system is utilized for the purpose of fault detection and diagnostics.
Aerospace
Data from Post Flight Recorder (PFR), Digital Access Recorder(DAR) & LOGBOOK are cleaned & integrated for building the Machine Learning Model ‘Bleed Fault’ & ‘Bleed not closed’ have been considered for the Project Feature engineering & Variable reduction techniques were applied on the Master data set to form the final data set.
Collaborate with us
Elevate your engineering endeavors with cutting-edge solutions! We invite forward-thinking engineering digital companies to collaborate with us on a transformative journey. Join forces to innovate, create, and deliver unparalleled value in the digital landscape. Together, we can push boundaries, accelerate technological evolution, and engineer a future where possibilities are limitless. Let’s synergize our expertise and drive progress. Explore new horizons, conquer challenges, and shape the future of engineering. Collaborate with us and unlock a world of opportunities at the intersection of technology and innovation. Connect with our vision, and let’s build the next era of engineering excellence together.