# EverBright IT GmbH

> IT Consulting for the Digital Future — AI, Cloud &

- Canonical listing: https://agencysource.com/agencies/everbright-it-gmbh
- Categories: [Custom Software Development](https://agencysource.com/categories/custom-software-development), [Cloud & DevOps](https://agencysource.com/categories/cloud-devops), [IT Consulting & Managed IT](https://agencysource.com/categories/it-services), [AI Consulting & Strategy](https://agencysource.com/categories/ai-consulting), [AI & LLM Development](https://agencysource.com/categories/ai-development)
- Services: Custom Software Development, IT Strategy Consulting, Cloud Consulting & SI, AI Consulting, AI Development
- Team size: 2 - 9
- Hourly rate: $100 - $149 / hr
- Minimum project: $10,000+
- Founded: 2024
- Website: https://everbright-it.de
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

EverBright IT is a founder-led IT consulting firm based near Munich, Germany. We help companies across the DACH region turn AI, Cloud, and Software Engineering from buzzwords into production-ready solutions — with measurable results.

Founded by Sergej Bardin (CEO) and Martin-Jan Sklorz (CTO), we bring 10+ years of enterprise experience from projects at Allianz Technology, Versicherungskammer Bayern, and complex manufacturing environments. No juniors, no bait-and-switch — you work directly with senior consultants from day one.

Our core services:

AI & Automation — AI strategy, agent development, LLM integration (Claude, GPT-4, Llama), and intelligent process automation. We build AI solutions that go beyond PoC into production.

Cloud & Infrastructure — Cloud migration, Kubernetes, DevOps, and cost optimization across AWS, Azure, and GCP. We design architectures that scale without burning your budget.

Software Engineering — Custom development, API design, code audits, and legacy modernization using Java/Spring Boot, Python, Node.js, React, and more.

What sets us apart: EverBright is AI-native. We run our own operations on AI agents with human-in-the-loop safeguards — so when we recommend AI solutions, we speak from daily practice, not theory.

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