Beyond Detection

Scelaris connects systems, data, AI and people.

Monitoring, observability and systems integration — extended by local AI that understands what a signal means for your operation.

Explore the Platform See it in practice
The Scelaris Architecture

One path from signal to action

Every Scelaris engagement runs along the same operational path — from perceiving a signal to building the human competence to act on it.

01Detect

Perception via cameras, computer vision, sensors, and edge-based event detection.

02Monitor

Operational status and infrastructure health via Zabbix and network monitoring.

03Measure

Quantifying environmental and technical data: temperature, humidity, wind, and energy.

04Understand — the Intelligence Layer

The synthesis point. LLMs and VLMs correlate heterogeneous information, add operational context, and interpret what an event means for the specific situation.

05Act

Closing the loop through automated workflows, API integrations, and decisive alerts.

06Enable

Technology only creates value when people can operate it. Coaching and training turn the system into lasting internal competence.

Practical AI Coaching — two formats
1 Day — Introduction & Orientation Understand where AI fits your operation — and where it does not.
€2,000 net
2 Days — Hands-on, Use Cases & Implementation Your own use case, tested on real systems. The recommended depth.
€4,000 net
View Coaching & Consulting
Proof, not promises

We build and operate what we consult on

Every engagement below is a system Scelaris designed, built and runs — across three domains: infrastructure, vision, and local AI.

Zabbix monitoring dashboard of the Scelaris infrastructure
Infrastructure & Monitoring

Zabbix-based service monitoring

Operational monitoring of the real Scelaris infrastructure — hosts, services, alerting.

View case →
MOBOTIX camera view of the pasture monitoring site
Vision

Pasture monitoring with MOBOTIX

Camera-based detection on a real site — the signal source of the VEGA / Windwatch intelligence chain.

View case →
Measured generation throughput of ten local models on the CPU baseline
Local AI

Local AI benchmarking

Measured — not claimed: ten models, one server, controlled workloads. Engineering evidence for real infrastructure decisions.

View case →
The architecture in action

Real-world implementation: VEGA / Windwatch

The same signal path, applied to a real wind park monitoring scenario.

Signal

Detection

A MOBOTIX camera produces event images based on configured detection zones.

Intelligence

Interpretation

A local multimodal/VLM system analyzes the visual content, adding semantic interpretation beyond the camera event trigger.

Action

Workflow

Relevant results trigger automated notifications and further processing.

This is the difference between detecting an event and understanding its relevance.

Ready to go beyond detection?