Data platforms
Contracts, lineage and a named owner for every field that matters.
Software engineering
Platforms that have to stay up
The same layers, with no model in them. A data platform that has to hold ten times its current traffic, a service that falls over on peak day, a pipeline nobody owns — none of that needs a model, and all of it needs the same four disciplines.
What we build
Services and gateways
Sized against a stated capacity and latency budget, not against last quarter's average.
Migrations off legacy stores
Run beside the store they replace, with a path back that stays available.
Observability
Answers the failure question before a customer does: what failed, where, and at what cost.
Security for software that acts
Least privilege on every grant, reviewed as a change rather than issued as a default.
Brand systems
Rules written as a machine-readable spec, with every asset generated from it.
Pillar 2 · it has to hold
Sized before it is built
Throughput, p99 latency, capacity and cost per request are written down before the build starts and load-tested before launch.
We publish the method we use to measure. We do not publish a result we have not measured on your system.
Where it usually leads
A platform that holds is the precondition for anything reading it. Most transformations start here. See the transformation work.
Send us the problem
Describe what is stuck. We will come back with an architecture, a timeline and the first commit.