Featured
Why we focus on data platform internals
How we narrowed our scope to reliability and performance, and how we run engagements.
Design and build data-intensive systems.
We work on the parts of your data platform that can't afford to be slow, expensive, or unreliable.
Tools we go deep on
No stack switch required. We use these where they cut risk and improve outcomes.
Memory safety by default, compile-time guarantees, and production deploys we can trust under load.
A reliable relational core with strong query planning and long-term maintainability as systems scale.
Fast analytics on large datasets with low-latency exploration and predictable cost-performance.
Composable Arrow-native execution that gives us precise control over domain-specific query behavior.
What we shipped
A concise snapshot of internal and client delivery outcomes.
3 internal milestones shipped
Internal execution includes a data-intensive pipeline, GDPR/compliance delivery, and observability platform hardening.
3 customer deliveries highlighted
Customer work spans event ingestion reliability, follow-the-money monitoring, and SOC platform software architecture.
Production reliability first
Claims are scoped to observed operational behavior and implementation outcomes, not marketing metrics.
Blog
What we learned building and fixing data platforms.
ClickHouse observability patterns at scale
How to keep ClickHouse observability useful as your team and data grow.
A minimal ADR format for platform teams
A lightweight decision record format that improves clarity without slowing you down.
Production readiness checklist for custom execution
What to check before shipping custom execution components: ownership, observability, rollback.
Let's talk about your system.
We take on a few engagements at a time. If you have a data platform problem, reach out.