Find bottlenecks
before they find you
Statistical modeling and AI applied to pharmaceutical manufacturing. We simulate your entire plant to reveal capacity constraints, test operational levers, and build investment roadmaps — backed by data, not guesswork.
Multi-site pharma transformed
A Latin American pharmaceutical company with 3 manufacturing sites, 250+ products, and growing demand needed to know: where do we invest?
Baseline Diagnosis
Identified 7 critical bottlenecks across 3 sites, with the worst resource at 229% utilization — physically impossible to sustain.
Add 3rd Shift
Adding a 3rd shift + 15% OEE improvement resolved 4 of 7 bottlenecks without any capital investment.
OEE Improvement
Adding a 3rd shift + 15% OEE improvement resolved 6 of 7 bottlenecks without any capital investment.
New Equipment
Two CAPEX scenarios evaluated: phased equipment expansion across sites, achieving 0 bottlenecks through 2032.
See your plant evolve
Our simulation models every resource across your facilities. Scroll to see how operational interventions resolve bottlenecks over time.
How it works
From raw data to strategic recommendations in 6 weeks, not months.
Data Onboarding
We ingest your production data — equipment specs, demand forecasts, OEE metrics, shift schedules, product routing. Everything mapped to a unified plant model.
Virtual Plant Model
Your facility is reconstructed as a digital twin — every resource, constraint, and product flow. Scenario overlays let us test changes without touching the floor.
Monte Carlo Simulation
Hundreds of randomized scenarios stress-test your plant against demand variability. We identify which resources break first, and when.
Actionable Report
A comprehensive report with scenario-backed recommendations: operational levers, investment roadmaps, and prioritized actions ranked by impact.
Why Ettala
Pharma Veterans, Software Engineers
Our team combines decades of pharmaceutical manufacturing leadership with world-class engineering. We've run production floors, managed capacity expansions, and navigated regulatory complexity — and we build the software to model it all.
AI-Powered Simulation
Our simulation engine is purpose-built for pharma. Monte Carlo methods account for demand variability, OEE fluctuations, and operational uncertainty. Every recommendation comes with statistical confidence, not just point estimates.
Results, Not Systems
No dashboards to learn. No software to maintain. No training required. We run the simulations, crunch the scenarios, and deliver a clear roadmap — backed by data, ready to act on.
Speed
Traditional capacity studies take 3-6 months. Our simulation-first approach delivers actionable insights in 6 weeks. Fast enough to inform decisions that are happening now, not next quarter.
Ready to see your capacity?
Tell us about your manufacturing challenge. We'll show you what a simulation-driven approach can reveal.
Schedule a Callcontact@ettala.ai
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