Data & AI Implementation

From infrastructure to AI in production

We plan, build, and run data platforms and AI solutions end to end. From scalable infrastructure to production-ready AI agents, everything works as one system.

Data & AI Implementation

Data and AI only deliver value when everything works together

Data and AI projects fail when infrastructure, platforms and applications are treated separately. We take ownership of the full stack, from hardware and virtualisation to container platforms, data pipelines, AI models and operations.

This ensures that platforms do not stop at proofs of concept but deliver measurable outcomes in production. Through our partnerships with Broadcom, Microsoft, Dell, Databricks and Elastic, and our expertise with NVIDIA, Anthropic and AMD technologies, we bring technical depth that goes beyond consulting.

Data Platforms

A solid data platform is the foundation for every AI initiative and data driven decision. We design, build and run scalable data platforms, from databases and data services to platform engineering.

Explore data platforms

AI

AI projects require more than models. From development and integration to operation, we deliver AI solutions that create real business value, from AI applications to autonomous agents.

Explore AI projects

Find the right starting point for your data and AI journey

Tell us where you stand today. We will help you define the right next step.

FAQs

Frequently asked questions about Data & AI Implementation

What does AI and data implementation include?

This area covers everything between infrastructure and productive application: data platforms, databases, pipelines, AI models, agents and the related operating concepts. evoila delivers architecture, implementation and ongoing operations.

How does implementation differ from strategy consulting?

Strategy consulting defines goals, roadmap and framework conditions. Implementation delivers the solution, from platform build and model deployment to productive operations. Both areas are closely linked but address different project phases.

Does evoila only work in the cloud or also on premises?

Both. evoila designs and operates infrastructure in public clouds, on premises in your own data centre or in hybrid environments. The architecture follows the requirements, not a preferred deployment model.

Which technology partners and technologies support the solutions?

Through our partnerships with Broadcom, Microsoft, Dell, Databricks and Elastic, and our expertise with NVIDIA, Anthropic and AMD technologies, we bring technical depth that goes beyond consulting.

Do we need a data strategy first or can we start directly?

Both are possible. Teams with a clear objective can start directly with implementation. Those who need orientation begin with a strategy workshop and then move into implementation.

Which company sizes is this suitable for?

evoila works with medium-sized businesses and large enterprises. The key factor is not company size but whether there is a need for professional data and AI infrastructure, from individual platform services to a full stack.

Data & AI Implementation

Data & AI Implementation

Data and AI only deliver value when everything works together

Topics at a glance

Data Platforms

AI

Find the right starting point for your data and AI journey

Frequently asked questions about Data & AI Implementation