Services
Engineering that works
after we leave.
We embed with your team to build AI systems, data platforms, and engineering capabilities your organisation can run and evolve independently. Every engagement starts with your constraints and ends with outcomes that last.
Most organisations have run AI pilots. Far fewer have AI reliably creating value in production. Our machine learning and computer vision consulting bridges that gap, working with your teams to identify the right use cases, build responsibly, and operate with confidence.
Building a model is the easy part. The hard part is the system around it: ingestion, validation, training, versioning, deployment, and monitoring. Our MLOps consulting delivers end-to-end pipelines that keep models running reliably in production.
Production ML needs more than a data lake and a notebook. We build data infrastructure that is tested, governed, and fast enough for the workloads that depend on it.
Cloud architecture should make your systems simpler, not just cheaper. Our Kubernetes and cloud infrastructure consulting delivers systems that handle real workloads, keep costs predictable, and give your team confidence in what is running.
The best platform is one your engineers actually use. We design internal developer platforms that reduce cognitive load, enforce sensible defaults, and remove bottlenecks so your team ships faster with fewer surprises.
Security in the EU regulatory landscape is no longer optional, but it should not slow teams down. We help you build secure systems from the start and prepare for frameworks like the EU AI Act, GDPR, and NIS2.
How we engage
We embed with your team rather than handing over a document and leaving. Engagements are scoped to deliver a clear outcome - whether that is a working system, an operating model, or a team that can carry the work forward independently.
Not sure where to start?
Most engagements begin with a short discovery conversation. No commitment, no sales pitch.