Predictive maintenance and condition monitoring software.
AWI Analytics connects live and historical plant data, detects meaningful change and gives engineers the evidence to diagnose problems, prioritise action and verify the result.
Condition monitoring coupled with process data from the systems you already run, turned into predictive maintenance actions you can plan. Analytics is one half of the loop — AWI Labs engineers the fix and proves it held.
Free 90-day pilot for a small number of partners — book a 30-minute conversation.
How condition monitoring becomes an engineering decision.
Ask “why did pump 1 stop last month?” and get answers from your own data — with an engineering review from us on top. See how AWI Analytics works, step by step.
Extract your data
We extract the data from the systems you already run, and integrate your SOPs and operator logs. Historical insight from day one.
Monitor where it pays
Right sensors, right placement on your critical assets — live condition data alongside your historical context.
Act on insights
Plain-English answers and proactive alerts. AWI Labs takes on the project engineering when you’d rather not act alone, and the fix is verified against the data that raised it.
What the software actually looks like.
Detection is only the beginning. When a reading like the amber on PUMP-7 needs a hand on the machine, AWI Labs does the engineering — and the fix is verified against the data that raised it.
How AWI Analytics compares.
General AI chat is easy but disconnected from your plant by default. Traditional BI is powerful but needs analysts. AWI Analytics is built for the gap between them — the longer argument is in RAG versus traditional BI for engineering data.
Eight detection checks. Safeguards that watch them. One AI review layer.
No single model catches every failure mode, so we don’t use a single model.
Static limits and band rules, checked on raw readings rather than averages, that alert when a reading crosses a line you’d never run at — with repeat alerts held back, so a flickering signal doesn’t spam you with alarms.
Seven views of the same asset — operating-range, trend, drift, healthy-pattern, multivariate, baseline shift and known-good models — plus safeguards that keep the models honest.
It reads the recorded findings, never the raw readings, and offers an interpretation for engineering review — not a confirmed diagnosis.
Wired IO-Link, wireless sensors through their maker’s cloud, or a read-only PLC connection — each source feeds the same detection stack.
Ask questions of your maintenance and process data and get answers you can trace back to the records behind them.
Each check reports on its own, rather than waiting for the others to agree. Alerts say in plain English what changed and where.
From the shop floor to the boardroom.
AWI Analytics delivers value across your organisation.
Downtime Analysis
Where the unplanned downtime hours went, what they cost, and which assets drive them.
Equipment Diagnostics
Trends, drift and out-of-range readings on each monitored asset, flagged for engineering review.
Management Reporting
Board-ready numbers straight from operational data — no spreadsheet assembly.
Bring Your Own AI
Connect your own enterprise AI provider — Anthropic, Microsoft, AWS Bedrock — under your contract, in your region.
Custom Agentic RAG
A retrieval architecture built for engineering data — answers drawn from your records and traceable to their source.
What engineers actually do with predictive maintenance data.
The day-to-day work: checking an asset, chasing a recurring fault, pulling the numbers for a shutdown review — without building a dashboard first.
Automated Analytics
Ask a question, get the analysis — trends, comparisons and anomalies surfaced from your data without building dashboards.
AI Insights
Answers about your equipment and operations, traceable to the records behind them.
AI Recommendations
Prioritised, actionable recommendations — what to inspect, when, and why it matters.
Live Data Views
Live condition monitoring data alongside your historical records, in one place.
Technical Data Understanding
Understands engineering vocabulary — assets, failure modes, shifts, batches, tags and units.
Guided Setup
No dashboard configuration. AWI sets up your account and your connector; you connect your own AI assistant, upload and index your files, and start asking.
Verifiable, neutral, customer-controlled.
Answers are grounded in your own data, with an audit trail behind them — and you choose which AI provider and region your data touches.
Token-Based Authentication
JWT authentication with organisation-scoped access.
Encrypted Connections
TLS-encrypted connections to every data source.
Per-Tenant Isolation Inside AWI
Every query, dataset and dashboard is scoped to your organisation — no cross-tenant retrieval, no shared indexes between customers.
Encrypted Cloud Storage
Encrypted at rest in AWS London (eu-west-2) by default.
You Control the AI Path & Audit Trail
Your AI provider, your region, your logs. Every query auditable.
Team Access Controls
Role-based access for engineers, managers and finance.
Many sources. One brain.
Exports from the systems you already run, plus live sensor feeds — every live sensor reading lands in the same telemetry model and runs through the same detection stack. More on manufacturing analytics software for UK SMEs.
Strictly read-only — AWI observes, it never writes to your control systems.