You have a prototype
“We built something with AI - but is it real?”
Whether you have a demo or just the problem, we give a straight answer: can it be done in practice, in your domain, at a sensible cost, and is it the right thing to build?
We turn AI experiments into systems that survive production.
GenAI made it easy to start. Surviving production is the hard part. We take the experiment the last, difficult mile: proven in practice, secure, in your domain, at a sensible cost.
Defence
real-time detection
Healthcare
reliable decision support
Critical infrastructure
operational monitoring
Regulated Europe
GDPR, audit, handover
Production isn't the moment a model works. It's when evidence, controls, and operation line up.
Prototype
The idea behaves in a controlled setting.
Evidence
The result holds against real data and domain constraints.
Controls
Security, audit, explainability, and failure modes are known.
Operation
Your team can run it, improve it, and trust it.
A prototype that demos well isn't a system you can trust.
Trust takes both: a model that's reliable and explainable, and the engineering around it: data, security, integration, scale. That's the gap where most pilots die, and exactly where we work.
Reliable models, secure infrastructure, operational integration, monitoring, ownership, and scale - treated as one system.
Industry reality
~95%
of enterprise AI pilots never make it into production.
A demo only has to work once. Production has to hold every day - under real data, real users, and real scrutiny. That is where most pilots stall.
1 in 20 reaches production. We build that one.
Proof
Proof, not slideware.
The people who scope it are the people who build it. Every number below comes from a system we built and handed over.
Defence · Critical infrastructure
Real-time drone detection
A lab model became a system operators trust: cleaner signals, sub-second alerts, and live monitoring, all running on-premise.
<1%
false positives, from 42%
<400ms
sensor to alert
99.1%
detection rate
Defence · Simulation
Automated simulation pipeline
Thousands of monte-carlo simulations a day - automated, traceable, and the data foundation real ML models depend on.
1,000s/day
simulations automated
0
manual runs
Defence · Computer vision
Modernising a legacy CV platform
A monolithic, hard-to-maintain codebase rebuilt into a modular system on DevOps and MLOps foundations, deployable on-premise.
>90%
more features shipped
2x
code coverage
Fintech · Payments
Securing a payment platform for ISO 27001
A full security assessment of an AKS Kubernetes platform migrating to Azure, mapped against ISO 27001 controls.
ISO 27001
controls assessed
AKS
hardened on Azure
Where we usually enter.
The best engagements start with a real constraint, not a neat service category.
You need it hardened
“Can you build the version that holds?”
We make the model reliable and explainable, and harden everything around it: security, audit, MLOps, scale. This is the part most teams can't finish.
You need to own it
“And then - are we locked in?”
You own the result. We hand it over cleanly and make sure your team can run it - or, when it makes sense, we keep running it with you.
You don't need another opinion. You need it to work.
Consulting from Denmark, delivered by the engineers who scope, build, and hand over the system.
An AI idea that's stalled. A prototype that can't reach production. A problem your current team or consultants can't crack.
We love hard problems - tell us about yours.