Ingestion, tested transforms, warehouse modeling, and dashboards that everyone can trust. Built by our data fleet so your numbers are current, consistent, and never quietly wrong.
Most early companies run on a tangle of spreadsheets and exports that disagree with each other. When two dashboards show different revenue, people stop trusting all of them.
Data becomes an asset only when it’s modeled, tested, and served from one source of truth. We build the pipeline properly: ingestion from your real sources (batch and streaming), transforms as version-controlled dbt models with quality contracts that fail loudly when data is wrong, a warehouse where metrics are defined once, and dashboards that read from that layer so definitions never drift. No more ‘which number is right’. It’s the same discipline that feeds the analytics behind our own fleet — 18 live platforms whose metrics come from modeled, tested pipelines, not hand-maintained sheets.
From raw sources to a dashboard people trust — each layer built so numbers stay correct.
We build ingestion, transforms, and modeling as one engineered flow — so data moves from source to dashboard on a schedule, tested at every hop.
Metrics are defined once in the warehouse and every dashboard reads from that layer — so revenue means the same thing everywhere, and a refresh failure is caught, not shipped.
A tested pipeline — ingest, transform, model, and serve, with a quality gate before anything reaches a decision.
This is an autonomous data fleet — a data engineer owning pipelines, transforms, and quality contracts — with a human steering. The proof is our own operation: the analytics behind our 18 live platforms run on modeled, tested pipelines, including spend and usage across 130 agents.
Delivered by the data fleet that feeds our own analytics.
The real, relevant stack we build this with — model-agnostic, open-source-first, production-grade.
Every technology below is delivered by the same composed engineering team.
Tell us your sources and the decisions you need to make. We’ll build the pipeline, model the warehouse, and ship dashboards that read from one source of truth.
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