Forecasting, anomaly detection and plain-language answers on your data.
Dashboards tell you what happened. We build the layer that tells you what is about to happen and what to do about it — grounded in your warehouse, not a vendor's black box.
±8%
Forecast accuracy
6–10 weeks
Implementation
Hourly
Refresh cadence
The problems this solves.
- Dashboards nobody opens after the first week
- Anomalies discovered a month too late
- Forecasts built on gut feel in a spreadsheet
- Analysts spending their week answering repeat questions
Engagements from
$5,400 / project
Scope, forecast and pricing are confirmed after a diagnostic call — never before.
Book a diagnosticDeliverables in every engagement.
Data model
A clean warehouse layer unifying marketing, sales, product and finance data.
Forecasting
Channel and revenue forecasts with confidence ranges, refreshed automatically.
Anomaly detection
Alerts when a metric breaks its expected band, with likely causes attached.
Natural-language querying
Ask questions in plain English and get answers with the underlying query shown.
A process you can hold us to.
01
Diagnose
We audit the account, the data and the unit economics before proposing a single tactic.
02
Architect
A 90 day roadmap with named owners, forecast ranges and the measurement stack that proves it.
03
Build
Work ships weekly. You review live output, never mockups or status decks.
04
Scale
Winners get budget and headroom, losers get cut fast, and the system gets productised.
Before you ask.
Do we need a data warehouse already?
No. We will stand one up — most clients start on BigQuery or Postgres.
Is our data sent to a model provider?
Only metadata and schema by default. Row-level data stays in your warehouse unless you explicitly opt in.