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.
The Problem
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.
How it works
Optimize in the loop you already run.
Unify process data
DCS, LIMS, ERP, historian — one continuous stream your engineers can query without another “data project.”
Hybrid models for your plant
First principles plus learning on your batches — not a generic recipe downloaded from the internet.
Live parameter guidance
Temperature, pressure, flow, timing — surfaced where operators work, with rationale you can defend to QA.
Audit trail by design
Recommendations, overrides, and outcomes logged so the binder is a by-product, not a weekend sprint.
Results
What teams measure once it's in production.
- 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
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.
Straight talk
Common questions before a PO.
- "Our processes are too complex for off-the-shelf AI."
- That's exactly why we use physics-based hybrid models tuned to your specific operations — not generic templates. The complexity is the point.
- "Regulatory compliance is non-negotiable."
- Agreed. Every recommendation is traceable, every data point logged. We're built for regulated environments, not bolted on after the fact.
- "Our team doesn't have time to learn a new platform."
- The interface layers on top of tools your operators already use. We're not asking anyone to change how they work — just making the work smarter.
Next step
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.