Can't find a tool you're looking for? Check out our sister lab, The Crus Center, for more options.

NEW: AI for Materials Science: From Microstructure to Manufacturing

We combine machine learning, computer vision, and large language models to accelerate materials innovations. Whether optimizing formulations, analyzing complex micrographs, or mining decades of internal data, our AI services give you a competitive edge. On AI projects, we promise fast turnaround inth in-house data scientists & materials experts, custom solutions tailored to your materials challenges, and proven experience across metals, polymers, ceramics, composites, and more.


  • AI-Powered Image Analysis & Microstructure Insights - Leverage cutting-edge computer vision models to analyze SEM ,CT, and optical micrographs at scale. We help you quantify particle size distributions, porosity, and interfacial defects enabling faster decisions in material qualification and design.
  • Smart Knowledge Assistants for Materials R&D - build custom chatbots and retrieval-augmented generation (RAG) tools that mine your internal data, such as PDFs, SOPs, reports, and notebooks. These tools help teams instantly access past experiments, summarize key findings, and reduce duplicated efforts.
  • AI-Guided Experiment Design & Optimization - Use active learning and multi-objective optimization to reduce costly trial-and-error cycles. Our tools recommend the next best experiment based on your goals, constraints, and prior data.
  • Data Cleaning, Modeling & Insight Generation - Turn raw measurements into clean, AI-ready datasets. We identify hidden trends, fill in missing data, and train predictive models for property estimation, optimization, and quality control.

Scanning Electron Microscopy (SEM)


 

X-ray Diffractometry (XRD)


 

Thermal Analysis


 

Physical Properties Testing

  • Karl Fisher Titration (water content): MetrOhm KF Titrator
  • Hygrometer/ Dew Point analyzer
  • Pycnometry (density/ volume): Anton Paar Ultrapyc 5000

Surface Analysis

Mechanical Properties


 

Spectrophotometry


 

Optical Microscopy