Book a demo
See the system, not the dashboard.
An hour, shaped around your stack, your role and your questions.
A causal tree, not a dashboard
Every driver relationship is tested daily for statistical significance. Not correlation dressed up as an answer.
A named owner on every metric
Full RACI, and the moment a metric moves the Accountable owner is notified with the driver attached, escalating up the org chart if nobody acts.
Verified impact, not self-reported
Actions tie to the metric they were meant to move, and KPI Tree checks whether they worked.
The ground truth your AI agents inherit
Canopy exposes the same tree, owners and verified outcomes to Claude, ChatGPT and the rest over MCP.
Pick a time
1 hour · Google Meet
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Experience That Matters
Built by a team that's been in your shoes
Our team brings deep experience from leading Data, Growth and People teams at some of the fastest growing scaleups in Europe through to IPO and beyond. We've faced the same challenges you're facing now.
What the hour covers
The whole loop, live. Map. Measure. Prove. Act.
Map
Your business as one causal tree
The cause-and-effect model behind your metrics, from lead indicators to your north star, on one canvas.
Revenue
19 Mar 2025Precomputed for every date in your history · in-memory · no warehouse query
Measure
Any date, any grain, every comparison
More than twenty comparison frames precomputed for every date in your history. Budgets and reforecasts aggregate through the same pipeline.
Every driver edge. Every day.
Prove
Drivers with confidence, not narrative
Every edge is run daily through statistical tests, from Pearson correlation to Granger causality, Benjamini-Hochberg corrected.
Fix checkout flow
Verified · +£32kLinked to Revenue · measured by the actuals pipeline
Pause underperforming ad sets
Measuring…Act
Verified impact, not self-reported
Actions are tracked against the metric they were meant to move, and the impact is verified by the same pipeline that calculates your actuals.
The difference
The morning a metric moves. Before, and after.
Before
A dashboard nobody opened
Emma #revenue
anyone know what's driving the drop this week?
With KPI Tree
An owner who already knows
KPI Tree app · 09:14
Revenue is 15% below target. Conversion rate is the primary driver (Granger-causal at lag 3d). @Sarah Chen you are Accountable.
For agents
Your semantic layer says how metrics are calculated. Canopy adds what drives them, who owns them, and what actually worked.
Every other context layer helps agents answer. Canopy closes the loop: each metric carries its drivers, its owner and whether the last action worked, and precomputed context turns ten queries per metric into one.
Weekly revenue review
scheduled · Mondays
Opus 4.8Security
Enterprise security, by design
SOC 2 Type II. SAML and OIDC SSO, directory sync, audit log streaming, and an architecture that does not store your data.
