One analytics platform, layer by layer
Governed ingest, semantic model, dashboards, alerting, and API, no black boxes.
Ingestion with a contract
We connect transactional sources, events, and SaaS. Every table declares a schema contract and a freshness window.
From raw source to activation in one pipeline
Every byte is traceable. Every metric is defined once. No spreadsheets in the middle.
Versioned semantic model
Staging, intermediate, and marts layers in dbt. One metric, one definition, tests on every PR.
0
SELECT
date_trunc( 1 , order_ts) AS period,
SUM(amount_cents) / 100.0 AS revenue,
COUNT(DISTINCT customer_id) AS customers
FROM {{ ref( 2 ) }}
WHERE status = 3
GROUP BY 1;Executive and operational dashboards
Dashboards on the semantic model. No formulas scattered across 10 places.
Alerts to the right channel
Metric anomalies and contract violations route alerts straight to the table owner.
API for activation
Export any modeled metric via REST or reverse-ETL. No proprietary middleware in between.
curl https: 0
-H 1 \
-d 2 \
-d 3 Three queries, three answers
Tap a tab to see the query and pre-rendered result.
SELECT period, revenue FROM fct_revenue ORDER BY period DESC LIMIT 6;
| period | revenue |
|---|---|
| 2025-04 | $184,320 |
| 2025-03 | $163,880 |
| 2025-02 | $148,120 |
| 2025-01 | $132,400 |
| 2024-12 | $129,880 |
| 2024-11 | $121,200 |
Wire a real pipeline to your warehouse
30-min stack review. We come back with a scoped plan, an owner, and a freshness contract. No SDR, no slide deck.