Partnership Engineering

Applied
Development.

Engineering scalable machine learning systems from frontier research to high-performance production — in close partnership with your team.

Execution Model

Expert Engineering, Together

Rapid deployment of custom-made machine learning solutions — tailored to your requirements, built in partnership.

We combine deep ML expertise with your domain knowledge to build robust, scalable systems. You are the expert in your work — we are the experts in AI. Together, we deliver measurable impact.

Production History

Featured Projects

AI systems built in partnership across diverse industry domains.

FirstRing AI Crisis Communication Platform

FirstRing

Industry

Together with crisis communication experts, we built an AI-powered platform that generates response plans and messages within seconds. Engineered for safety-critical environments.

Core Components

  • Rapid Response Generation
  • Model agnostic with fallback systems
  • Optimised for the crisis communication domain
Beleidsradar AI Policy Analysis Platform

An AI-powered intelligence platform monitoring millions of policy documents. Features advanced vector search and LLM-driven synthesis for legislative monitoring in The Hague and Brussels.

Technical Stack

  • High quality debate transcriptions
  • Agentic system for alerting users of relevant developments
NPO Radio AI

NPO Radio AI

Client Project

In partnership with NPO's editorial team, we built AI systems that unlock archived audio in seconds and accelerate radio production workflows.

Technical Stack

  • Making large quantities of audio searchable
  • Editorial workflow with AI assistants
  • Large scale search engines
De Volkskrant AI Research

Investigating the infiltration of synthetic media in global search results. Our technical audit for De Volkskrant exposed the critical challenges to information integrity in an AI-saturated world.

Research Impact

  • Societal impact of AI
  • Large scale data collection
  • Automatic detection of generative AI
ChatZaanstad

ChatZaanstad

Industry

Built in partnership with Gemeente Zaanstad: a secure, model agnostic AI chat interface that enables local governments to manage their own AI models hosted entirely within the Netherlands or the EU.

Key Features

  • Model Agnostic (Llama, Mistral, GPT)
  • Prompt Library for shared expertise
  • Custom styling based on organization
Computer Vision Pipeline Development

Computer Vision

Product

Together with our clients, we engineer production-grade computer vision systems for organizations that cannot afford black boxes, vendor lock-in, or fragile demos.

From data pipelines and model training to deployment on sovereign infrastructure, we design systems that remain auditable, scalable, and under your control — even in high-stakes operational environments.

Core Focus

  • End-to-End CV System DesignData ingestion, annotation strategies, model training, evaluation, and deployment.
  • Sovereign & On-Prem DeploymentFull control over models, data, and runtime — no third-party dependency.
  • High-Reliability Visual IntelligenceBuilt for real-world variability, not lab conditions.

Core Stack

Capabilities

Full-spectrum engineering across the machine learning lifecycle.

Forecasting

Predictive analytics & time series

RAG Systems

Retrieval-augmented generation

Interfaces

Conversational AI & high-perf UIs

LLM Ops

Scale & production deployment

Computer Vision

Image & video analysis

Multimodal

Cross-domain data integration

Engineering

Robust scalable systems

Architecture

Backend & Cloud infrastructure

Process

How Does It Work?

From first idea to production — a clear and transparent process in 8 steps.

Step 01

Share Your Vision

Send us a message with information about what you want to build. We'll review your idea and get back to you quickly.

1
Step 02

Discovery Meeting

We schedule a meeting to discuss the possibilities. Where should it be hosted? How does it work? We map out the technical landscape together.

2
Step 03

Quote & Mockups

Based on the meeting, you receive a detailed quote and several mockups showing how the solution could work.

3
Step 04

Review & Refine

We discuss the project timeline and adjust anything you'd like to see different. Your input shapes the final direction.

4
Step 05

Development Kickoff

After you agree to get started, our team begins development. We set up the infrastructure and start building.

5
Step 06

Iterative Development

During development we keep you up to date with progress. You can test the product and give feedback in real time.

6
Step 07

Launch & Delivery

When everything is exactly how you want it, we either hand over the project to your technical team, or we can host and maintain it for you at a great price.

7
Step 08

Grow & Expand

Want to improve or expand? That's always possible. We're here for the long run to help you scale your AI capabilities.

8

Ready to start building? Our process is designed to be transparent, collaborative, and always centered on your goals.

Get Started

Methodology

Development Approach

Adaptable engineering workflows focused on knowledge transfer and production stability.

Deployment Options

Full Service Engineering

Complete lifecycle management from prototype to high-scale production deployment — we handle everything, or work alongside your team.

Co-Development

Direct integration with your engineering team. You bring the domain expertise, we bring the AI knowledge. Sharing best practices and building together.

Intelligence Transfer

Flexible Infrastructure

Deployment across managed clouds or on-premise high-security hardware environments.

Team Empowerment

Active training in ML architecture, optimization, and responsible engineering standards — so your team grows with every project.

Our partnership approach builds sustainable AI capabilities within your organization. You stay in control, while gaining long-term technical autonomy and performance.

Start Your Partnership
Dr. Maarten Sukel
Founder & Chief Engineer

Dr. Maarten Sukel

Ph.D. Multimodal Machine Learning

Dr. Sukel specializes in the engineering of high-performance machine learning systems. His work bridges the gap between frontier research and production-grade applications, focusing on scalable architectures and measurable ROI.

He partners with organizations worldwide to deploy AI that truly fits their needs. His approach: you are the expert in your domain — together, we build the AI that makes it work.

Verification

Review & Impact

Technical collaboration reflected in project success.