Predict failures on-site,
without ever touching your machines.
Spot machine problems weeks before they cause downtime, with clear reasons your engineers can trust. Everything runs on your own hardware, so your production data never leaves the plant.
Three pillars of predictive intelligence
Anomaly Detection
ISO 10816 vibration banding and nameplate limits alert from day one — no training, no history needed. The LSTM autoencoder then adds a learned baseline, recalibrated on your machine’s own normal running.
Trend & Health Index
A per-asset health index built from that machine’s own recent normal, alongside ISO 10816 zones and nameplate limits on every trend. Remaining useful life in days needs your own failure history — the pilot is how you build it.
Explainable Alerts
Integrated Gradients attribution on every prediction. Your engineers see exactly which sensors drove the alert—not a black box.
See it in action
Three types of intelligence, one platform. Click through each scenario to see how Prevly detects, explains, and turns an alert into work.
Everything looks good — the pump is running as expected. No action needed.
See Prevly in 5 minutes
Watch how a reliability engineer connects sensors, trains models, and gets the first alert, all without writing code.
Product walkthrough: coming soon
In the meantime, try the interactive demo above or request a demo
Want to see this on your machines?
Request a demo, connect your sensors, and watch Prevly detect anomalies on your real data, running on-premise and read-only, with no changes to your PLC.
From sensors to savings in four steps
Connect
Plug into existing sensors. OPC-UA, MQTT, Modbus, SCADA CSV—no hardware changes needed.
Learn
AI builds a baseline from your first days of data. Anomaly detection starts on day one; the LSTM autoencoder sharpens as your normal baseline grows.
Predict
Progressive ML: Isolation Forest → LSTM Autoencoder. Models improve as data grows.
Prevent
Alerts route to PagerDuty, ServiceNow, or mobile push. Auto-generate work orders. Track ROI in real-time.
Up and running in days, not months
Most PdM projects fail because deployment takes forever. Prevly works with your existing sensors: OPC-UA, MQTT, Modbus, CSV. No new hardware, no rewiring.
Built for industrial scale
Know WHY, not just WHAT.
Every prediction comes with per-feature attribution. Your engineers see exactly which sensors drove the alert—no black box, no guesswork.
Your engineers will trust it, because they can verify it
Every alert comes with per-feature attribution: exactly which sensors contributed and by how much. Not a black box, but a tool your reliability team will actually use.
Worked scenarios, not customer results
Prevly has no published customer deployments yet, and we will not pretend otherwise. These are modelled examples that show how the arithmetic works on a plant like yours.
Centrifugal Pump Monitoring
A municipal water plant experienced 12 unplanned pump failures per year, each costing €8K in emergency repairs and €15K in lost capacity.
Prevly’s LSTM autoencoders detected bearing degradation patterns 14 days before failure, invisible to threshold-based SCADA alarms.
Electric Motor Diagnostics
A Tier-1 supplier’s CNC spindle motors caused 3-hour production stops when faults went undetected until quality defects appeared.
Integrated Gradients ranked the channels behind every alert, so engineers knew which measurements had moved before they walked to the machine.
Compressor Condition Monitoring
Reciprocating compressors in an ethylene plant required conservative 3-month overhaul cycles, wasting 40% of component useful life.
ISO 10816 banding plus a per-asset health index moved overhauls off the calendar and onto the machine’s measured condition.
* Modelled scenarios, not measured customer outcomes. Every plant runs differently, so your real results depend on your equipment, sensor coverage and operating conditions.
Enterprise-grade security
Your production data is critical. We built Prevly to meet the security standards your IT team requires, and explain them in terms everyone understands.
GDPR Compliant
Your data stays in your region. Full data processing agreements available.
We treat your production data like you would, and it never leaves your control.
Encrypted End-to-End
TLS 1.3 in transit, AES-256 at rest. Zero-trust architecture.
Bank-level encryption from your sensor to your dashboard. Nobody can intercept.
Runs on your hardware
On-premise deployment: your data never leaves your plant.
When your machines run 24/7, so do we, on your site, not our cloud.
Multi-Tenant Isolated
Strict tenant isolation — every query is scoped to your tenant.
Your data never mixes with anyone else's. Complete tenant separation enforced on every request.
Works with your existing systems
No rip-and-replace. Prevly plugs into the tools and protocols your plant already uses.
Custom integrations available for Enterprise customers. Don't see your system? We'll build the connector.
Built on proven technology
Enterprise-grade open-source stack, no vendor lock-in, full transparency.
Designed for heavy industry
Prevly works with rotating equipment, process systems, and utility infrastructure across sectors.
Transparent pricing. Sensor-agnostic. Mid-market mid-tier.
8-week pilot SLA — no other PdM vendor commits contractually.
Essential
Per-asset anomaly detection + ISO 10816 banding. Customer-provided sensors or existing OPC-UA tags.
- OPC-UA ingestion
- LSTM autoencoder anomaly detection
- Per-asset health index + ISO 10816 zones — RUL in days needs your own failure history
- Dashboard + email alerts
- Discord community support
- Sensor-agnostic (IFM, SKF, PCB, Treon)
- Up to 50 assets
Professional
Adds ML depth for mid-cap manufacturers — drift detection, explainability, automated work orders.
- Everything in Essential
- Integrated Gradients explainability (“why this alert?”)
- Drift detection (PSI baselines)
- Composite trigger DSL
- Automated work order generation
- Multi-user RBAC (operator/engineer/manager)
- 24h response email + business-hours phone
- Up to 200 assets
Validated
GAMP 5 / CSV-ready validation pack for pharma + medical device manufacturers.
- Everything in Professional
- GAMP 5 / CSV validation documentation pack
- EU GMP Annex 11-aligned controls
- 21 CFR Part 11-capable e-signatures
- ALCOA+-oriented audit trail
- 4-hour priority SLA + 24/7 support
- Dedicated Customer Success Manager
- Source code escrow (optional)
Implementation 18-22% of Year-1 ACV. Multi-site discounts up to 44% off (10+ sites). Annual prepay 8% off; 3-year prepay 18% off. CMMS work-order export (CSV / webhook) included; direct Maximo / SAP PM integration available as a custom add-on. The Validated tier provides validation-enabling tooling (GAMP 5 / CSV documentation pack, Part 11-capable e-signatures, ALCOA+-oriented audit trail); validation of your specific installation is performed by you under your own quality system. Prevly is not itself a regulatory certification.
Frequently asked questions
How long does it take to deploy Prevly?
Prevly connects to your existing sensors (OPC-UA, MQTT, Modbus, SCADA CSV) with no hardware changes. AI builds a baseline from your first days of data. Anomaly detection starts on day one while the LSTM autoencoder sharpens in the background.
What types of equipment does Prevly monitor?
Prevly monitors any rotating or process equipment with sensor data: pumps, motors, compressors, turbines, fans, gearboxes, and more. It supports vibration, temperature, pressure, current, voltage, flow rate, RPM, and acoustic sensors.
How does Prevly explain its predictions?
Every prediction comes with per-feature attribution: Integrated Gradients for the deep models (anomaly, fault) and SHAP-style contributions for the gradient-boosted RUL model. Your engineers see exactly which sensors drove each alert and by how much, no black box. This builds trust and enables faster root cause analysis.
Is my data safe with Prevly?
Yes. Prevly runs on-premise with no required outbound egress, and uses TLS 1.3 in transit, AES-256 at rest, and strict tenant isolation enforced on every query (each request is scoped to your tenant). Your data never mixes with other customers and never has to leave your site. GDPR compliant with data-residency options.
What ML models does Prevly use?
Prevly uses a progressive approach: ISO 10816 banding and nameplate limits alert from day one with no training at all, then LSTM autoencoders conformal-calibrated on your own normal baseline as data grows. Attribution uses Integrated Gradients, so your engineers see which sensors drove each alert. Our remaining-useful-life models are benchmarked on real public run-to-failure data — NASA C-MAPSS turbofan (RMSE 14.33 on the standard FD001 test), li-ion and LFP cells, CNC tool wear — and none of those is a pump, so a life estimate on your asset needs your own failure history first.
Request a Prevly demo
See predictive maintenance running on your machines — on-premise, read-only, no PLC changes. Tell us about your setup and we'll be in touch.