10,000 sensors monitored.1 unified dashboard.0 alerts missed.

Sunday, 3:41 AM. Remote production site, 200 km from the maintenance lead's home. The main compressor crossed 87°C 26 minutes ago. Nobody knows. The sensor caught it but the weekly report won't land until Monday morning. At 4:12 AM, the O-ring fails. At 5:30 AM, oil is in the casing. By 6 AM, complete shutdown. Monday noon, the quote: €47,000 in spare parts, 6 days of stopped production, €380,000 in contract penalties with the German customer. The maintenance lead tells you in the meeting: 'If we'd known, we had two hours to shut down cleanly.' You knew. The sensor knew. Nobody was reading.

Deloitte estimates reactive maintenance costs on average 3.3x more than predictive maintenance, $47 per equipment per hour of unplanned downtime versus $14 for preventive maintenance with real-time monitoring. McKinsey reports that industrials deploying real-time IoT monitoring cut unplanned downtime by 50%, maintenance costs by 25% and extend equipment lifespan by 20-40%. NIS2 and RGSI also make real-time monitoring mandatory for 67% of European industrial sites by 2027.

Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.

Concretely: IoTWatch hooks into your existing equipment in 30 minutes via MQTT, LoRaWAN or Modbus, no additional gateway. The AI detects drift before the critical threshold, escalates automatically via SMS/email/phone per your rules, and retains 12 months of history. The outcome: 10,000+ concurrent sensors, < 200ms latency, 99.99% guaranteed uptime, zero missed alerts. Your teams intervene before the breakdown, not after.