A tech company passionate about building things

As a team of applied AI engineers, we love solving real-world problems by applying the latest AI technology. To deliver operational and impactful solutions, we leverage machine learning, data, backend, frontend, UX, DevOps, and MLOps capabilities.
Through applied AI software building activities we continuously develop and expand our applied AI capability and capacity.
What you can expect from us
Studio
MVP building
As your technical co-founder we'll build an MVP in record time. Speed is critical to startup success: speed to user feedback, speed to data, and speed to market. And we build it right so you're ready for scaling and advanced AI.
Studio
AI Roadmap
To grow really big, a startup needs to have a compelling long-term technical moat for data and AI. We help create not just the vision, but the detailed long-term roadmap. Using our capacity and capability to help you execute.
Corporate Products
Bespoke AI solutions
We work with select corporate partners as their AI products partner to develop operational solutions that have a material impact on their business. We solve tough problems and get it done fast.
Studio
MVP building
As your technical co-founder we'll build an MVP in record time. Speed is critical to startup success: speed to user feedback, speed to data, and speed to market. And we build it right so you're ready for scaling and advanced AI.
Studio
AI Roadmap
To grow really big, a startup needs to have a compelling long-term technical moat for data and AI. We help create not just the vision, but the detailed long-term roadmap. Using our capacity and capability to help you execute.
Corporate Products
Bespoke AI solutions
We work with select corporate partners as their AI products partner to develop operational solutions that have a material impact on their business. We solve tough problems and get it done fast.
Investing in innovation
To be the best builders, we stay on top of the latest technology. Not just reading about it, but getting our hands dirty so we know when and how to implement it.
Innovation fellowship programs: Dedicated time for ML and SW engineers to learn and experiment with the latest AI tech.
Knowledge cafes: Sessions for the team to share and discuss the latest innovations; portfolio companies are also invited to attend and share.
Blog posts and code: Committed to sharing within the broader tech community, the team regularly writes articles and shares code open source.
Here's a snapshot of the tech team

Sybren Jansen

Senior machine learning engineer, drives AI innovation

Dr. Marc Weeber

Senior software engineer; drives corporate AI product development

Michael Bergeron

Senior software engineer; drives software innovation

Ayla Kangur

Senior machine learning engineer; responsible AI specialist, AI strategy

Bas Roelenga

Machine learning engineer; NLP and computer vision specialist

Artur Barseghyan

Senior back-end engineer; product development

Dr. Lottie Lane

Human rights and AI specialist; professor at RUG
Blog article
Graph Neural Network (GNN) Architectures for Recommendation Systems
Santhosh Rajamanickam, machine learning engineer
Read the article
Blog article
Explainable AI in Practice
Ayla Kangur, senior machine learning engineer
Read the article
Open source code
MPIRE for Python: MultiProcessing Is Really Easy
Sybren Jansen, senior machine learning engineer
Get the code
Blog article
Graph Neural Network (GNN) Architectures for Recommendation Systems
Santhosh Rajamanickam, machine learning engineer
Read the article
Blog article
Explainable AI in Practice
Ayla Kangur, senior machine learning engineer
Read the article
Open source code
MPIRE for Python: MultiProcessing Is Really Easy
Sybren Jansen, senior machine learning engineer
Get the code