Supi
Pharma & Chemicals

Tighter processes. Higher yields. Fewer audit headaches.

Unify DCS, LIMS, and historian data into one live view — then tune batches with traceable, explainable recommendations.

Chemical plant with storage and processing infrastructure

Drift costs more than scrap.

Out-of-spec runs burn yield, rework, and room on the line. Under pressure, teams revert to tribal knowledge and spreadsheet archaeology.

Quality spends cycles stitching exports for audits instead of preventing the next deviation.

The signals already exist — they are just split across DCS, LIMS, and ERP with no shared timeline.

Petrochemical refinery and process units

How it works

Optimize in the loop you already run.

Industrial chemical processing facility
1

Unify process data

DCS, LIMS, ERP, historian — one continuous stream your engineers can query without another “data project.”

2

Hybrid models for your plant

First principles plus learning on your batches — not a generic recipe downloaded from the internet.

3

Live parameter guidance

Temperature, pressure, flow, timing — surfaced where operators work, with rationale you can defend to QA.

4

Audit trail by design

Recommendations, overrides, and outcomes logged so the binder is a by-product, not a weekend sprint.

Results

30%

improvement in production quality and process efficiency

Reduced

batch variability — fewer out-of-spec runs, less rework

Automated

audit preparation — automated traceability replaces manual data pulls

Who this fits

Process engineers, quality leads, and plant directors in regulated batch and continuous plants who need fewer deviations and an audit trail that does not depend on heroic effort.

Common Questions

See where the next yield points are.

Walk through your systems map and the first outputs we would surface — without a six-month IT program.

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