At ChemXplor, we are dedicated to providing chemometrics solutions to meet the diverse spectrochemical needs of industries ranging from pharmaceuticals and chemicals to environmental and food.
Chemometrics & Spectrochemical Services
From robust spectroscopic calibration to process optimization, we help you extract reliable, decision-ready insight from complex spectral data.
Spectroscopic Calibration
Design, validate, and maintain calibration models that deliver stable, traceable results.
Spectroscopic Calibration
We build and refine robust models so your instruments stay accurate in real-world conditions.
- Calibration model optimization
- Application of machine learning techniques in calibration
- Calibration transfer across instruments and sites
Authentication
Rapid, data-driven methods to confirm product identity and integrity.
Authentication & Product Confirmation
We use multivariate spectral fingerprints to distinguish genuine products from counterfeits and detect deviations in raw materials or finished goods!
This supports QA/QC, regulatory compliance, and brand protection in sensitive markets.
Classification
Pattern recognition and class models tailored to your samples and processes.
Classification & Pattern Recognition
We develop chemometric classification models to separate products, batches, or process states based on their spectral profiles.
From simple pass/fail rules to multi-class models, we help you automate complex decisions.
Experimental Design
Plan efficient studies that capture the right variability with minimal runs.
Experimental Design
We design calibration and process studies using Design of Experiments (DoE) to maximize information and minimize cost.
Factor selection, sampling strategy, and robustness testing are all built into the study plan.
Process Optimization
Turn real-time spectral data into a lever for yield, quality, and cost improvements.
Process Optimization
We link chemometric models to your process parameters to identify optimal operating windows and reduce variability.
This can support PAT initiatives, real-time release, and continuous improvement programs.
Error Analysis
Understand where uncertainty comes from and how to reduce it.
Error & Uncertainty Analysis
We decompose prediction errors to separate instrument noise, sampling effects, and model limitations.
This helps you set realistic specifications, improve methods, and justify decisions to regulators and stakeholders.
