AI assistants & chatbots
Smart assistants that give genuinely useful answers based on your documents, data or business logic. With memory and context.
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
Workflow automation
AI that takes over tedious work: categorising emails, drafting quotes, qualifying leads. With a human check at critical moments.
Internal AI tools
Dashboards and tools where your team can query data, run analyses or generate content in natural language, without SQL or prompt engineering.
MCP & integrations
A Model Context Protocol layer that gives AI secure access to your BigQuery, CRM, or internal systems. AI talks to your data, not around it.
Recent work
An AI platform we built recently.
Real results, not theoretical.
Platform - AI tooling
Nodefy
Challenge
Nodefy works AI-driven for clients and wanted to carry that same way of working through to their own internal tooling.
Approach
We started with a consult to define what we could build for them. We then built and implemented a data warehouse, an AI layer and a dashboard over 12 weeks.
Outcome
Nodefy now has internal tooling that fits their AI-driven way of working. The team switches faster and communicates more smoothly with clients.
Scope
Data warehouseAI layerDashboard
12 weeks
Project time
The team
Senior developers, AI as the accelerator.
We are a small, senior team based on the Herengracht in Amsterdam. We build with AI tools every day and know when an LLM is the right answer, and when a simple rule works better.
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
Full-stack: the right choice per project.
No fixed stack, but a deliberate choice. For each solution we pick what fits, sometimes AI, sometimes plain code. A few examples.
An AI assistant or chatbot
Claude or another model that fits, with memory and context from your documents, data and business logic.
Workflow automation
A mix of AI and plain code, because sometimes a simple script is more reliable and cheaper than an LLM.
AI access to your systems
An MCP layer on top of your BigQuery, CRM or internal tools, so AI talks to your real data safely.
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.