Feasibility and scoping
What the model would change, what data it needs, and whether the expected gain justifies the work. Including when the answer is no.
What we do
AI Services
The demo is the easy part. We work on what comes after: data readiness, evaluation, cost per request, and what happens when the model is wrong.
- MLOps
- Inference
- Retrieval
- Evaluation
Getting a model to produce something impressive in a notebook takes an afternoon. Getting it to produce something dependable, at a cost you can defend, in front of real users, is a different job — and it is mostly a data and infrastructure job.
We start by asking what decision the model is supposed to change. If there is no clear answer, no amount of engineering will save the project, and we will say so before you spend the budget.
Running it yourself
We deploy inference on your own infrastructure wherever it makes sense: sovereignty, latency, and per-request cost usually all point the same way once volume is real.
What this includes
Data readiness
Collection, labelling strategy, quality and governance — the part that decides the outcome long before model choice does.
Production inference
Serving, autoscaling, GPU scheduling and cost control, on your cloud or your own hardware.
Evaluation and monitoring
Test sets, regression tracking and drift alerts, so a quality drop is caught by a dashboard rather than by a customer.
Other services
01
Data Engineering Solutions
Streaming, storage and pipelines that hold up under load — designed, built and documented with your team.
Learn more03Consulting Services
Architecture reviews, technology choices and cost audits — an outside opinion with nothing to sell you.
Learn more04DevOps Services
Kubernetes, infrastructure as code and delivery pipelines your team can actually operate.
Learn more05Managed Services
We run your platform: monitoring, on-call, patching and capacity, against agreed response times.
Learn more06Managed SIEM
Log collection, detection and response on an open-source SIEM you own — no per-gigabyte surprise.
Learn moreTalk to us about this
Fifteen minutes on a call is usually enough to tell whether we are the right team for the job.