Smart Plant — DownTrax

Turn downtime into operational intelligence.

DownTrax is Talonite's structured downtime detection and management platform — converting downtime from a reporting exercise into engineering-grade, audit-ready intelligence that drives availability up and repeat failures down.

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The challenge

Downtime is measured — but rarely understood

Most sites can tell you how much downtime happened, but not reliably why it happened or what to fix first.

Inconsistent capture

Free-text shift notes, disconnected data sources and inconsistent downtime capture prevent meaningful analysis.

Slow root-cause analysis

Engineers spend their time cleaning data instead of solving problems — the same failure gets re-diagnosed from scratch, every time.

Poor cross-team alignment

Without structured loss classification, accountability blurs across operations, maintenance and engineering.

“Typical tools show what happened. DownTrax explains why — and how to prevent it.”From event logging to loss intelligence
The solution

Structured capture at the source

DownTrax standardises downtime capture across shifts, departments and plants — transforming informal observations into engineering-grade intelligence.

Structured downtime capture

Consistent entry frameworks with mandatory loss and reason coding eliminate ambiguity — web-based capture on any device.

Asset-aligned event logging

Every event is linked to specific equipment and process areas through a comprehensive asset hierarchy.

Loss classification & OEE

Availability / performance / quality classification with OEE and loss analysis, drill-downs and equipment loss ranking.

Approval & governance workflows

Open → approval → closed. Operator capture at source, supervisor validation, audit-ready records.

Real-time & historical analytics

Immediate visibility into downtime patterns, event frequency and duration trending, automated report distribution.

Failure pattern recognition

Repeat-failure detection, event-chain analysis and complete operational context for reliability modelling.

Foundation for reliability

The structured data that powers everything downstream

DownTrax sits at the foundation of the Smart Plant architecture — its structured operational data feeds the programmes that compound value.

Reliability engineering

FMEA, RCM and RCFA initiatives built on actual, classified failure data.

Maintenance optimisation

Condition-based and predictive strategies validated against real event history.

Digital twin inputs

Actual failure data for model validation — plus value-realisation tracking for improvement programmes.

Value projection

The value projection

Direct production impact through evidence-based loss elimination.

Higher availabilityMore productive hours per day through systematic loss reduction
Faster recoveryReduced time from trip to restart with standardised response protocols
Reduced repeat failuresFix root causes, not symptoms — automatic repeat-failure flagging

Benchmark basis: structured downtime and condition programmes are the entry point to the up-to-30% unplanned-downtime reductions reported by mature condition-monitoring & RCM programmes (see AI-Enabled Insights).

Delivered through the Talonite Three Horizons journey — Foundation → Optimise → Improve — with ROI tracked, validated and compounded through our Smart Eye value layer. Every solution, every discipline.

See how we deliver value →
From opinion to evidence

Engineers solving problems, not cleaning data

Because data is structured at capture, root causes surface immediately, repeat failures are flagged automatically, and cascading failures are understood through event-chain analysis. DownTrax handles real operator workflows and multi-unit, multi-site complexity — with pre-built templates for fast implementation and full OT-stack integration.

Audit-readyevery record, every event
Multi-siteenterprise-scale deployments
Fastpre-built template implementation
FAQ

Frequently asked questions

What is DownTrax?

Talonite's structured downtime detection and management platform. It captures every stoppage, classifies the loss, and turns downtime from a reporting exercise into engineering-grade, audit-ready intelligence that drives availability up.

How is DownTrax different from manual downtime logging?

Manual logs are incomplete, inconsistent and compiled after the fact. DownTrax detects stoppages from the plant itself, applies structured loss classification, and produces OEE analytics engineers can act on — including repeat-failure visibility.

How much can structured downtime management reduce losses?

Combined with AI-enabled analysis, operations can reduce unplanned downtime by up to 30% — by seeing where losses actually occur, fixing root causes, and stopping repeat failures.

See losses clearly. Fix them faster. Sustain performance.

We deploy DownTrax against your asset hierarchy, standardise loss classification, and turn your downtime history into a prioritised improvement programme.