AI enablement and .NET full-stack engineering

AI that accelerates processes. Software that lifts the load off your team.

For mid-market companies that want AI in daily work, not in slide decks — with the architectural rigor of a team that has already shipped production platforms. We identify where AI actually pays off, set up the platform, and put it into operation. Plus .NET full-stack engineering for the applications your business runs on.

Delivery, not slideware — including for AI.

10+
years of project delivery
30+
software and platform projects delivered
CPSA-F
certified architecture expertise
Azure OpenAI + AWS
AI and cloud delivery in production
Services

AI in production processes — and the software around it

Two focus areas, one delivery responsibility. We bring AI where it actually works, and we build the .NET full-stack applications your business runs on.

AI without the software that operationalizes it stays a pilot. Software without AI leaves efficiency on the table. We deliver both, one team.

AI enablement

We put AI into production processes

Instead of isolated pilots or strategy decks, we identify the use cases with the biggest leverage and ship them to production. You enter where your company is today.

Find use cases and build the platform

We analyze processes, prioritize the use cases with the biggest leverage, and set up the AI platform that fits your stack — Azure OpenAI, RAG, agents or copilots, with GDPR fundamentals and clear operational ownership.

For you if: "We want to use AI" or "We have pilots, no production."

Ship to production and integrate

We build the use case all the way into live operations, integrate it into your processes and software, and leave behind a setup your team can extend.

For you if: "First use cases work, we want to scale."

See the full 3-step process and use-case examples

Full-stack software development

Software your business runs on

For applications that need to be extensible ten years from now: clean architecture, modern stacks, and a team that does more than ship and disappear.

Backends that hold up

.NET / C# for durable business logic, EF Core, PostgreSQL or SQL Server, Domain-Driven Design. We handle both greenfield and the codebase that is already twelve years old.

Frontends that do not look like 2014

React, Angular, Vue, Blazor, Svelte — the framework that fits the requirement, not the hype of the quarter. Component architecture a second team can still read later.

See full-stack engineering
Selected work

We ship what we promise — including the hard parts.

What we've actually built. Platforms running in production, processes that measurably reduce manual work, and the first AI use cases we are currently shipping.

Production platform delivery 2022 – present

Catena-X data ecosystem

Multiple core components for a collaborative automotive data ecosystem covering policies, credentials, and operational platform maturity. Proof that we ship complex systems all the way into live operations.

.NETReactMicroservicesKubernetes
Process automation with measurable load reduction 2024 – 2025

Digital travel expense management

PowerApp with multi-step workflow and automatic handoff to Dynamics 365. Reduced manual accounting workload by ~80% — exactly the kind of relief AI use cases are meant to deliver.

Power PlatformDynamics 365Power BISharePoint
AI in pilot

First AI use cases shipping now

We are currently shipping multiple AI use cases for clients — RAG knowledge systems, copilots for service and sales, document classification. A detailed case study will follow once the pilots complete. In the meantime, talk to us if you want to know what a production-grade use case looks like for your business.

Why DNS

Why teams choose to work with us

You work with a team that makes architectural decisions, ships the software for them, and brings AI into production where it actually works. Three concrete promises instead of generic delivery virtues.

AI without the theater

We ship working AI in weeks, not workshops over months. You get use cases with effort and value — and a running system, not a deck of wishlist scenarios.

Architecture meets delivery

CPSA-F-certified architects make the technical decisions — and write the code for them too. No translation loss between advisory and implementation.

One team for AI and software

We build the AI and the software that operationalizes it under one roof. Fewer interfaces, fewer handoffs, faster to production.

Contact

Tell us what you need to deliver next

You will get a structured first assessment — for AI initiatives with concrete use-case hypotheses, for software projects with effort, risks, and next steps. Usually within one business day.

Direct contact
Common first-call topics

AI use-case scoping, platform setup, .NET full-stack initiatives, or an architecture review of an in-flight project.

Project inquiry (15-30 min)

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