Analytics that operators actually trust.
Pipelines, semantics, and dashboards built around the decisions your team makes, not the dashboards a vendor wanted to sell.
- First decisions automated
- 0-12wk
- Faster decisions
- 0-10×
- Pipeline reliability
- >0%
- Decision audit trail
- 0%
From raw data to defended decisions, in one platform.
We build the data pipelines, the semantic layer that names things consistently, the AI-augmented exploration tools that surface what's interesting, and the dashboards that hold up in a meeting.
- Bronze / silver / gold pipelines on dbt, Spark, or your existing stack
- Semantic layer with metric definitions your team agrees on
- Natural-language data exploration grounded in those definitions
From discovery to production.
- 01
Discover
We interview the people who actually make decisions, audit the data, and pick the highest-leverage analytics opportunities.
- 02
Prototype with evals
Build the metric definitions and test them against historical data. The dashboards must reproduce real past decisions.
- 03
Deploy
Pipelines, semantic layer, and dashboards shipped together, with monitoring, freshness SLAs, and on-call playbooks.
- 04
Operate
Continuous validation against new data, AI-suggested anomaly investigations, and metric definitions that evolve under change control.
Drowning in 14 dashboards that disagree on the basic numbers?
Book a 30-min consultWhat you get.
Numbers your auditor will sign off on.
Every metric has lineage. Every dashboard has a version. Every AI-suggested action has an explanation grounded in your data, not a hallucination.
- Full column-level lineage from source to dashboard
- Versioned metric definitions under change control
- AI exploration grounded in the semantic layer, no fabricated stats
Common questions.
Decisions on numbers everyone agrees on.
Free 30-minute consultation. We'll find the highest-leverage analytics opportunity in your stack.
Schedule consultation