AI workflows for the work that piles up.

No chatbot gimmicks. AI assistants, automations and MCP integrations that save your team time every day, built by developers who know when AI works and when it does not.

Custom built
Your data, your control
No black box

Recent work

A recent AI platform.

Built, delivered and in daily use.

Platform - AI tooling

Nodefy

Challenge

The ad data of Nodefy's clients was scattered across multiple platforms, each with its own dashboard. Building reports was manual work, and the team wanted to work with data the AI-driven way they do everything else.

Approach

We started with a consult to define what we could build for them. Over 12 weeks we then built a central data warehouse that refreshes daily, an AI layer that lets the team ask questions of the data in plain language, and a dashboard for client reporting.

Outcome

Analyses that used to take hours of clicking through separate dashboards are now a single question in the chat. The team moves faster, backs its advice with up-to-date numbers and communicates more smoothly with clients.

Data warehouseAI layerDashboard

Stack

Nodefy AI

How did 's campaigns perform last week compared to the week before?

Illustration: client names and numbers are fictional.

12 weeks

Project time

In production

Delivered

Get in touch

What we build

AI solutions we build often.

AI assistants & chatbots

Assistants that give useful answers based on your documents, data and business logic.

Workflow automation

AI that takes over tedious work: sorting emails, drafting quotes, qualifying leads.

Internal AI tools

Tools your team uses to query data and run analyses in plain language, without SQL.

MCP & integrations

A secure layer that gives AI access to your BigQuery, CRM or internal systems.

The team

AI-Native Developers.

Not every project needs the same people. You work with a small team of specialists that flexes based on the project. That way we can scale up and down while keeping quality high. Sion always holds the architectural responsibility, because he's a developer himself. Through his network he brings in the right people where needed.

More about the network model

Talent that grows with the company in practice.

Specialists who bring the right skills per project.

Self-reliant, involved and sharp on results.

Strong work on a tighter budget.

Our approach

More than just ChatGPT and Gemini.

AI only really works when it has access to your data, understands your workflow and stays reliable. We think along about when AI is the right choice, how it talks safely to your systems and what happens when it gets it wrong.

When AI works and when it does not

Sometimes an LLM is the right answer, sometimes a simple script is more reliable and cheaper. We advise honestly on what fits and often build a combination: AI where it genuinely adds value, plain code for the rest.

Safe with your real data

An MCP layer on top of your BigQuery, CRM or internal tools, so AI only sees what it should. Row-level permissions, audit logs and no data leaking out. Models can run in the EU when compliance calls for it.

Reliable in production

Evaluations so you know whether a new prompt or model is genuinely better, monitoring on quality and cost, and fallback paths for when the model gets it wrong. With us, AI is not a black box.

Fits in your existing workflow

Integrations with your CRM, dashboards, email or Slack so AI does the work where your team already is. No separate tool people have to log into, but answers and actions in the place where they already work.

Schedule a call

An AI idea
you want to test?

30 minutes via Google Meet. You tell us what you have in mind, we tell you honestly whether AI really adds value here and how we can build it. No sales talk, no obligations.