AI & software engineering · Germany

We build software that ships.

Shade Technology is a small software and AI engineering firm. We take on selected consulting projects: LLM integrations, custom applications, data and cloud infrastructure. We also build and run our own products, so we know exactly what production takes.

Services

What we do

We keep our scope narrow on purpose: three things we are genuinely good at, from the first prototype to running in production.

01

AI & LLM solutions

We bring large language models into real products and workflows: assistants, agent systems, retrieval pipelines, document automation. Everything is engineered with evaluation, guardrails and monitoring from day one, because a demo is not a product.

LLM integration · RAG & search · Agents & automation · Evaluation

02

Custom software

We design and build web applications, internal tools and APIs end-to-end. Small senior team, short feedback loops, working software every week, and code your own team can maintain after we hand it over.

Web applications · APIs & integrations · MVPs & prototypes · Modernization

03

Data, cloud & MLOps

We build the foundations that AI and software need to run reliably: data pipelines, cloud architecture and CI/CD, plus the operational side of machine learning with deployment, monitoring and cost control.

Data pipelines · Cloud architecture · CI/CD & DevOps · ML in production

Approach

How we work

Understand

We start with your problem, not our tech stack. One conversation is usually enough to tell whether we can help, and how.

Prototype

Working software, early. A prototype settles questions that slide decks and workshops can't.

Ship

Small increments you can click, test and challenge instead of status reports. Visible progress, every week.

Operate

After launch, we stay on board if you want us to: monitoring, iteration and honest advice on what to build next.

Have a project in mind?

Tell us what you're trying to build. We'll tell you honestly whether we're the right team for it, and what it would take.