Detect machine failures before they stop production — in 90 days.

Single machine · Real data · Clear go / no-go decision

Why predictive maintenance usually fails in practice

• Data exists, but no one trusts or uses it

• AI SaaS tools are expensive and lock you in

• OT doesn’t trust cloud-based systems

• No in-house data science team

• Projects end with dashboards — not alerts

  Most companies don’t need another platform.

  They need proof.

We validate predictive maintenance on your machine — before you scale.

In 90 days, we install an edge sensor, train a local AI model, and show whether anomaly detection actually works in your environment.

HOW IT WORKS

Step 1 — Install

• One selected machine

• One edge sensor (Tachyon)

• No ERP / MES integration required

Step 2 — Learn

• Local data processing

• AI-based anomaly detection

• Validation with your maintenance team

Step 3 — Decide

• Technical + business report

• Scale — or stop

• No vendor lock-in

 WHAT YOU GET

✔️ Edge sensor installation & configuration
✔️ Dedicated AI agent trained on your machine
✔️ Real-time / near-real-time anomaly alerts
✔️ Weekly technical summary (PDF)
✔️ 6–8 live technical sessions
✔️ Final ROI & scale-readiness report

WHO THIS IS FOR / NOT FOR

This is for:

• Manufacturing plants (10–300 machines)

• Maintenance & reliability teams

• CTOs who need a decision in weeks, not years

This is NOT for:

• AI demo projects

• €49/month SaaS expectations

• Teams without a clear machine owner

WHY EDGE AI

Why AI at the edge — not in the cloud

• Data never leaves your facility

• Low latency, works even offline

• OT-friendly & EU-compliant by design

• No dependency on external platforms

PRICING

AI Edge Pilot™ — 90 days

• from €4,000 (pilot only)

• from €6,000 (pilot + hardware)

Note
After the pilot: scale, extend — or walk away.
No long-term commitment.

Before spending €100k on an AI system — validate it in 90 days.