Elucida Labs

Meet Your Customer's Scorecard Faster.

The AI Semiconductor R&D Platform for process engineers to accelerate time-to-market. Stop wasting time on manual wafer analysis and trial-and-error experimentation.

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An R&D Workflow Limited by Legacy Tools

Your process expertise is your advantage. Your legacy software tools shouldn't hold you back.

Slow, Manual Experimentation

Relying on 'black box' AI models or traditional DoE still demands hundreds of runs, consuming valuable tool time and leading to wafer scrap.

Siloed Data & Lost Knowledge

Semiconductor R&D process engineer analysis relies on fragmented tools or custom scripts. This leads to slow process engineering analysis time and the loss of critical institutional knowledge.

Reactive, Manual Analysis

Engineers must navigate a high-dimensional space of input parameters to meet complex performance metrics. This relies on time-consuming manual analytics and subjective, individual-based interpretation. Existing tools lack the intelligence to automatically identify patterns, deviations, or root causes across complex, multi-dimensional wafer data.

A Centralized Semiconductor Data Science Platform

Our platform provides the intelligent co-pilot for Semiconductor R&D Process Engineers, designed to accelerate innovation and improve recipe convergence.

Intelligent Design of Experiments

Leverage cutting-edge AI for semiconductor R&D process engineering DoE. Our platform's cutting-edge AI recipe optimization learns from each run to recommend the next best experiment, helping you optimize your process window in a fraction of the time.

Automated Wafer Map & AI Root Cause Analysis

The ultimate legacy tools alternative for semiconductor data analysis. Instantly generate interactive wafer map contour plots, wafer uniformity analysis charts, wafer edge effect charts, and more for your recipe development experiment runs. It identifies the root cause and provides a next-step recommendation.

Predictive Process Engineering with a Digital Twin

Utilize our semiconductor digital twin for 3D wafer map visualization and virtual metrology. Predict process outcomes and understand the impact of recipe changes before committing to a single physical run.

Built by Industry Experts

Our team combines decades of hands-on semiconductor process experience with deep expertise in AI and data science.

Photo of Suresh Ayyalsamy

Suresh Ayyalsamy

Co-founder and CEO

An AI/ML product and company builder with deep experience at semiconductor equipment manufacturing companies. He has led product at multiple AI/ML startups and enterprises.

Photo of Manish Sharma

Manish Sharma

Co-founder and CTO

An AI and Machine Learning expert with a Ph.D. from Stanford and over 30 years in the semiconductor industry. He specializes in building scalable AI solutions for the semiconductor industry.

Joining Soon

Joining Soon

Co-founder and CPO

A semiconductor R&D process engineering expert with over 20 years of hands-on experience who has held leadership positions at top capital equipment companies. He holds a Ph.D. and did postdoctoral work at Stanford and UIUC.

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