CHEMICAL
From reactive maintenance
to predictive certainty.
Anticipate failures in critical process assets, cut unplanned downtime, and protect your margins — without a hardware overhaul or a multi-year IT project.
monom integrates predictive maintenance, contextualized process data, and expert-validated AI into a single platform built for the physics of chemical plants — reactors, compressors, distillation columns, and steam crackers — not generic manufacturing.
30+ years of industrial expertise
80% reduction in diagnosis time
Sensor-agnostic deployment
THE CHALLENGE
Without integration or prediction, chemical operations lose control and profitability.
Every unplanned shutdown hits the bottom line directly.
Unexpected failures in reactors, compressors, or steam cracking furnaces translate into lost production and safety exposure.
Feedstock volatility demands precision, not guesswork.
Tight specification tolerances and shifting catalyst performance require real-time, not monthly, visibility.
Fragmented data blocks fast decisions.
Vibration data, SCADA readings, and historical logs sitting in silos make root-cause analysis slow and reactive.
Alert fatigue erodes trust in the tools you already have.
Operators drowning in false positives eventually start ignoring the system altogether.
Regulatory and safety pressure keeps rising.
PFAS restrictions, decarbonization mandates, and HAZOP/process safety requirements demand traceable, auditable data.
Retiring reliability experts take decades of knowledge with them.
The "Silver Tsunami" of retiring engineers accelerates the loss of tacit failure-pattern knowledge — right when it's needed most.
THE PLATFORM
monom. From Prediction to Operational Excellence.
The modular platform combining predictive maintenance, contextualized process data, and expert-validated AI — purpose-built for the reliability challenges of chemical manufacturing.
PREDICTIVE MAINTENANCE
Predictive Maintenance for Continuous Operations
Detect failure modes in rotating and static equipment — reactors, pumps, compressors — before they impact production or safety.
INDUSTRIAL AI
Connected Process Data, Reliable Decisions
Unify vibration, SCADA, and historian data into a single contextualized layer — no lengthy integration project required.
Agentic Operations
Expert AI, Not a Blank Canvas
Pre-trained industrial agents diagnose root cause and prioritize maintenance actions in natural language — no months of model training.
INTELLLIGENT MAINTENANCE
From raw data to bottom-line action.
Go beyond simple alerts: our AI engine delivers root-cause diagnostics and recommendations prioritized by financial and process-safety risk, then automatically creates work orders in your CMMS — cutting alarm-to-action time by up to 60% across every site in your network.
Drive impact across every key area of your chemical plant
From the control room to the boardroom, MonoM strengthens reliability, cuts costs, and keeps you audit-ready.
Guaranteed reliability
Detect failure modes in critical assets before they impact batch quality or throughput.
Optimized maintenance
Prioritize interventions by real criticality and reduce unnecessary work orders.
Single source of truth
See vibration, process, and historical data on one screen, without switching tools.
Enterprise-grade security
ISO 27001-certified architecture protects your OT and process data at every layer.
No lengthy integration
Sensor-agnostic by design — connects to your existing SCADA and historian without ripping out infrastructure.
Human-validated alerts
Certified reliability analysts review every AI-generated alert before it reaches your team. Zero noise, zero guesswork.
Contextualized time-series
Vibration and process variables — pressure, temperature — correlated automatically, not manually.
One dataset, not five tools
Eliminate manual exports between SCADA, GMAO, and spreadsheets.
Built for chemical physics
Pre-trained models reflect real failure modes of reactors, compressors, and columns — not generic manufacturing equipment.
Modular, pay-as-you-scale
Start with one critical asset and expand — no large upfront CAPEX or infrastructure investment.
Measurable ROI from day one
Quantify the cost of avoided downtime per asset, not just abstract efficiency gains.
Lower OPEX, higher uptime
Fewer unnecessary work orders and fewer unplanned shutdowns translate directly into margin.
Trusted by the Voice of the Chemical Industry
monom by Preditec partnered with FEIQUE (Spain's Chemical Industry Business Federation) to bring AI-driven predictive maintenance and reliability best practices to plant, maintenance, and digital transformation leaders across the sector.
30 years
Combined industrial reliability expertise
80%
Reduction in diagnostic time
7x
Increase in maintenance planning horizon
Ángel García-Bombín
Reliability & Digital Transformation Lead, chemical process manufacturer
Sonae Arauco
We finally have full visibility into the health of our critical assets. The virtual agents make everything transparent — from vibration analysis to the smallest process detail — and the platform is remarkably intuitive to adopt.
Request a
personalized demo.
Discover how monom transforms chemical plant data into frictionless, expert-validated decisions — without custom development. Unify OT, IT, AI, and reliability workflows.
