Platform design
Reference architecture, capacity model and cost envelope, sized on your real workloads rather than a vendor benchmark.
What we do
Platforms that move and keep your data reliably, at the volume your business actually produces — not the one in the vendor benchmark.
Most data platforms do not fail on the day they are built. They fail eighteen months later, when the volume has tripled, the person who designed them has left, and nobody dares touch the cluster.
We build for that eighteenth month. The architecture is sized on your measured workload, deployed as code, and handed over with the runbooks needed to operate it. If we are not there any more, it still works.
A two-week assessment of what you run today: volumes, growth, failure modes, cost per terabyte, and the two or three things that would hurt most if they broke. It ends with a written recommendation you can act on with or without us.
Reference architecture, capacity model and cost envelope, sized on your real workloads rather than a vendor benchmark.
Cluster deployment as code, data migration with a rollback plan, and a cutover rehearsed before the day itself.
Ingestion, transformation and quality checks, with lineage and alerting so that a silent failure stays impossible.
Runbooks, dashboards and pairing sessions until your engineers operate the platform without us in the room.
From a first useful model to inference running in production, on infrastructure you control.
Learn more03Architecture reviews, technology choices and cost audits — an outside opinion with nothing to sell you.
Learn more04Kubernetes, infrastructure as code and delivery pipelines your team can actually operate.
Learn more05We run your platform: monitoring, on-call, patching and capacity, against agreed response times.
Learn more06Log collection, detection and response on an open-source SIEM you own — no per-gigabyte surprise.
Learn moreFifteen minutes on a call is usually enough to tell whether we are the right team for the job.