AI-powered monitoring and analytics built for ethanol producers. Detect fermentation anomalies faster, eliminate manual data analysis, and stop failures before they cascade to distillation.
Ethanol production leaves little room for error — yet most plants still rely on manual spreadsheets, reactive troubleshooting, and hours-old data.
By the time a fermentation issue shows up in your reports, it's already cascading into distillation. Lost corn, lost ethanol, fouled equipment.
Data arrives via email as spreadsheets — inconsistently formatted, manually compiled, impossible to analyze at scale across multiple tanks or facilities.
Your team is skilled — but spending most of their time manually parsing data to find what went wrong, rather than preventing it from happening at all.
Rimba connects directly to your plant data — SCADA, DCS, email reports, lab results — and runs continuous AI monitoring so your team acts on intelligence, not instinct.
Connect directly to Ignition, Allen Bradley, Siemens, and other control systems. Sensor-level data flows continuously — not in 8-hour email batches.
Aviva · Ignition · Allen Bradley · SiemensRimba learns your normal fermentation baselines and flags deviations the moment they appear — temperature swings, CO₂ profile shifts, unusual conversion rates.
Sub-hour alert windowsNot ready for full integration? Forward your existing Excel reports and lab PDFs to Rimba. It auto-extracts, normalizes, and indexes everything — zero workflow change.
Works with your current processColumn names vary between facilities and reporting periods. Rimba automatically maps inconsistent headers to a unified schema — no manual cleanup required.
Multi-facility readyCompare performance across all your sites. Learn what optimal looks like at your best-performing plant and apply those insights automatically across your portfolio.
40+ site scalableCustomer data never crosses facility boundaries. Your competitive operating parameters stay yours — while you still benefit from cross-facility pattern learning.
Plant-level isolationRimba works in stages — connecting to your data, understanding it, detecting anomalies, and delivering clear guidance to your team.
The most expensive failures start small — a CO₂ curve that's slightly off, a temperature creeping up by two degrees. Rimba sees them first.
Rimba watches every tank around the clock — CO₂ evolution, brix/gravity, temperature, pH — and builds a live picture of each batch from pitch to transfer.
When a profile deviates from your historical baseline, Rimba alerts your technical team immediately — not after the batch is already headed to the column.
Alerts come with context — which variable shifted, when it started, and how similar historical deviations resolved. Your team gets intelligence, not just a number.
A resolution that worked at your Iowa facility applies to a similar situation in Nebraska. Rimba captures and surfaces that institutional knowledge automatically.
See how Rimba fits into your ethanol operation. No big-bang deployment. No IT headaches.
Book a 30-Minute DemoDiscovery → Integration → Pilot → Rollout