Technical consulting for organizations dealing with heterogeneous systems, infrastructure, data sources, monitoring, automation and AI.

Connect what already exists. Add what is actually needed.

Systems Integration Consulting

Technology-neutral • Infrastructure-focused • B2B

Our Approach: Environment First

Scelaris does not begin with a predefined product. We start by analyzing your actual environment and requirements to avoid unnecessary complexity. We evaluate:

  • The actual technical problem and desired operational outcome.
  • Existing infrastructure, servers, network connectivity and VPNs.
  • Available data sources, interfaces (APIs) and legacy systems.
  • Security, reliability and maintainability requirements.
  • Constraints, costs and the path to sustainable operation.

Existing technology is retained where it remains useful. New components are added only where they provide a clear technical or operational benefit.

Implementation Competence

Our consulting is informed by real-world implementation experience across a broad technical stack:

Infrastructure & OS

Windows and Linux systems, server architecture, network infrastructure and remote connectivity.

Monitoring & Automation

Deep expertise in Zabbix, observability, Python-based automation and alerting chains.

AI & Data Processing

Local and cloud AI, LLM/VLM systems, GPU-based inference, and agentic workflows.

The Role of AI

AI may be part of the solution. It does not have to be.
Conventional software, deterministic automation, or a simple interface is often the better engineering choice. Our value lies in making this distinction correctly based on your requirements.

From Analysis to Operation

Consulting is a standalone engagement, but it provides the architectural foundation for deeper implementation. Where appropriate, the path progresses as follows:

Analysis → Architecture → Proof of Concept → Integration / Engineering → Operation & Monitoring

Every recommendation is informed by our experience in building and operating these systems in production environments.