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Our mission is to maximize the potential of semiconductor manufacturing with AI.

Our Mission

Semiconductor manufacturers and fabs can no longer afford to innovate at the pace humans alone can sustain. AI solutions augment what they do best, so they can do it better.

Our Story

We began minds.ai by applying deep learning solutions to enterprise business problems in pharma, the automotive industry, and enterprise operations.  

From there, we created DeepSim, a flexible AI engine that combines a powerful mix of open-source and proprietary AI tools into a simple, stable, cloud-based platform.

minds.ai Maestro uses DeepSim as a backbone, helping optimize processes for leaders in large-scale semiconductor manufacturing.

Meet the Team

minds.ai is a global team with success in translating cutting edge AI research into practical application.

Executive

Board Members

Engineering

Abdelhak Khemari

Abdelhak Khemiri, PhD

Senior Simulation Engineer

LinkedIn

Taki-Eddine Korabi, PhD

Senior Data Science Engineer

Rati Devidze

ML Engineer

Murali

Murali Krishna

Senior Director of Smart Manufacturing and AI Strategy

LinkedIn

Business & Operations

Jai Parameswaran

Jai Parameswaran

Director Human Resources

LinkedIn

Venkat Krishnaswami

Venkat Krishnaswami

Financial Advisor / CFO

Our Advisors

Margie Evashenk

Margie Evashenk

Margie Evashenk is an experienced board director in public and private companies, demonstrating committee leadership. With 30+ years in Networking, Storage, Deep Learning, and Venture Capital, Margie excels in large corporations and startups, and has built three businesses from scratch.

Derek Dicker

Derek Dicker

Currently serving as the CEO at Nyriad, Derek Dicker possesses more than 25 years of experience in the technology industry. He has previously held leadership positions at prominent companies such as Micron Technology, Intel, Integrated Device Technology, and PMC-Sierra.

Claude Yugma

Claude Yugma

Claude Yugma, professor at Mines Saint-Étienne, specializes in industrial engineering, particularly semiconductor logistics and quantitative modelling. His expertise includes resolving complex decision-making problems in semiconductor enterprises and operations scheduling.

Publications

Join us.

We’re looking for extraordinary people who want to work on the future of AI using high-performance computing, real-time data, large-scale simulations and cutting-edge ML.

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