Sorting used textiles with AI, NIR, and a recycling framework
A circular economy project with Wargön Innovation, funded by Vinnova: image recognition and near infrared spectroscopy fused into an automated sorting process.
Machine learning that ships. Sovereign by design.
We build and deploy production ML for Swedish industry and the public sector, on infrastructure you own, or on sovereign cloud. Your data never leaves the perimeter.
Trusted by
Wargön InnovationCircular economy
ItmotiveConsulting
Braha ITConsulting
On-prem & edge capable
EU jurisdiction & data residency
No vendor lock-in
Every engagement ends in a system your team runs
Open-weight models, nothing behind someone else's API
By design
Numbers we hold ourselves to
100%
of systems designed to run on infrastructure you own
0
bytes of your data required to leave your perimeter
1
EU jurisdiction, one legal framework, fully auditable
100%
source code and documentation handed to your team
What we do
Three ways
Three ways
to work with us.
Build and run production ML on infrastructure you own, put our MLOps and data engineers inside your team, or use the products we build on our own stack. Whichever you choose, you keep the source and the ability to run it without us.
Services
We build the system and run it until your team can. Production builds on infrastructure you control, ML Ops on a retainer designed to shrink, and private AI set up on your own hardware.
Read more →MLOps & Data Engineering Consultants
A Quince engineer inside your team, by the hour, by the month, or for a fixed scope. Pipelines, feature stores, model serving, monitoring, and the migration off providers you cannot afford to depend on.
Read more →Products
What we build on our own stack. MQ Flow, an AI system for heating and ventilation built with our partner Mifimi, and Qonverge, our talent matching platform.
Read more →Or skip the build,
and just run it yourself.
Not every organisation needs a model built from scratch. Most need the thing everyone already knows how to use, running somewhere their material is allowed to go. We set that up: an open-weight model, an interface your team can use on the first day, and your own documents behind it. On hardware you own, on a device, or in a Swedish data centre.
How we build,
documented.
We're a young studio. As client projects close, they appear here as named case studies with verified numbers. Until then, our work notes show exactly how we think and build.
Building Qonverge, our AI talent matching platform
The talent matching platform we built for ourselves and now run as a product, in production at Itmotive and Braha IT. What we built, and where we stopped the AI.
A reference architecture for sovereign ML
The stack we reach for when a system has to run on-prem for a decade: open-weight models, portable serving, and an exit path at every layer.
Two verticals,
known deeply.
We'd rather understand two industries properly than ten superficially, and both of ours run on trust, jurisdiction, and uptime.
Manufacturing & industry
Visual inspection, predictive maintenance, energy optimisation: machine learning that runs on the factory floor, OT-safe, with no round-trip to anyone's cloud.
Edge-first: we quantise and deploy models on-device (Jetson, STM32, RISC-V), built for offline-first operation.
Public sector
Machine learning for organisations that answer to citizens: data residency in Sweden, GDPR and EU AI Act compliance designed in from the first commit, and systems your own staff operate.
Built for public scrutiny: every model documented, every decision auditable, nothing hidden behind a vendor's terms.
Why sovereignty
Convenience is rented. Control is built.
The easy path routes your most valuable asset, your data and the models trained on it, through infrastructure and APIs you don't own. Quince builds the other path.
The default
Rented intelligence
- Data and prompts leave your perimeter to third-party clouds and model APIs.
- Pricing, rate limits, and model behaviour change underneath you.
- Compliance depends on a vendor's terms you can't fully audit.
- Switching provider means rebuilding. The lock-in is the product.
The Quince way
Sovereign intelligence
- Models run where your data lives: on-prem, private cloud, or at the edge.
- An open-weight stack you can inspect, fine-tune, and keep running indefinitely.
- Compliance designed in: GDPR and the EU AI Act as architecture, not afterthought.
- Portable by default: no single provider you can't walk away from.
Nordic engineering,
applied to your data.
Quince AI is a machine-learning studio in Gothenburg, on Sweden's west coast, a region that quietly built automotive, manufacturing, and deep-tech engineering that had to work for decades. We bring the same discipline to AI: rigorous, dependable, and built to last.
Start the conversation
Let's build AI you don't have to hand over.
Thirty minutes, no commitment. Tell us the problem and the constraints, and we'll tell you honestly whether, and how, machine learning fits.