Every method your process data needs
One platform for exploration, prediction, and monitoring — built on the three multivariate methods chemical and pharma teams actually use.
What is PCA in chemical engineering?
PCA reduces complex datasets into a small number of components that capture the most variance, making it easier to spot patterns across many process variables — batch drift, raw-material variability, sensor faults.
What is PLS analysis in chemical engineering?
Partial Least Squares (PLS) regression identifies relationships between process inputs (X) and quality outputs (Y) — predicting tablet hardness, yield, or purity before the batch ends.
What is MSPC?
Multivariate Statistical Process Control (MSPC) monitors many correlated variables at once using Hotelling's T² and the Q-statistic — catching faults that single-variable control charts miss.
AI that explains — chemometrics that computes
Every result in ProcessLens comes with a plain-language explanation written by a built-in AI assistant. Ask why a batch was flagged or which variable to fix first, and get an answer grounded in the model's own statistics — contribution plots, VIP scores, control limits.
The numbers themselves never come from a language model. PCA, PLS, and MSPC results are computed by validated, deterministic algorithms — reproducible and auditable, as regulated QC environments require. The AI reads the results; it doesn't make them up. Your data is never used to train AI models.
Feature comparison
| Capability | PCA | PLS | MSPC |
|---|---|---|---|
| Exploration & pattern detection | ✓ | — | — |
| Quality prediction | — | ✓ | — |
| Real-time monitoring | — | — | ✓ |
| Requires a Y (quality) variable | No | Yes | No |
| Plain-language AI explanations | ✓ | ✓ | ✓ |
Security & data handling
Hosted in the EU, authenticated via Azure AD B2C, EU-first by design — important for pharma customers with strict data-residency requirements.
Integration & export
Import CSV/Excel or connect a process historian. Export results and reports for QA documentation and regulatory submission.
See these methods on your own data
Request a guided demo, then a one-week free trial with your own dataset.
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