Production Engineering

Applied
Development.

Engineering scalable machine learning systems from frontier research to high-performance production.

Execution Model

Expert Engineering

Rapid deployment of custom-made machine learning solutions tailored to production requirements.

Collaborative engineering that combines deep ML expertise with rigorous development practices. Our teams focus on building robust, scalable systems that deliver measurable impact.

Production History

Featured Projects

Deployment of high-performance ML systems across diverse industry domains.

FirstRing AI Crisis Communication Platform

FirstRing

Industry

An AI-powered communication platform that generates response plans and messages within seconds. Engineered for safety-critical environments where speed and reliability are paramount.

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

For NPO we built AI systems that unlock archived audio in seconds and accelerate radio production workflows, transforming how editorial teams work.

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

A secure, model agnostic AI chat interface designed for Gemeente Zaanstad to control and connect safely. This prototype 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

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 Design Data ingestion, annotation strategies, model training, evaluation, and deployment.
  • Sovereign & On-Prem Deployment Full control over models, data, and runtime — no third-party dependency.
  • High-Reliability Visual Intelligence Built 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

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.

Co-Development

Direct integration with internal engineering teams, sharing best practices and technical debt mitigation.

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.

Our approach focuses on building sustainable AI capabilities within your organization, ensuring long-term technical autonomy and performance.

Initiate Deployment
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 has led numerous technical implementations and advises global organizations on AI deployment. His approach combines rigorous engineering with a deep understanding of the ML lifecycle.

Verification

Review & Impact

Technical collaboration reflected in project success.