Ask questions. Get answers you can trust.
See how Pedestal answers complex business questions—with answers you can trust, verify, and own.
“Why did gross margin drop in Q3?”
Gross margin declined 6.8% in Q3, driven primarily by product mix shifts and increased freight costs in the Western region.
Gross Margin by Month
Q3 trend showing the decline
Sound familiar?
These questions trigger a scramble: threads, dashboards, and a week of back-and-forth.
"Why did margin drop in our Western region?"
"Which routes are consistently missing delivery windows?"
"What's driving the cost increase in fulfillment?"
"Which customers are most likely to churn next quarter?"
"How does on-time delivery compare across carriers?"
"What's our actual cost-to-serve by customer segment?"
Other AI guesses. Pedestal knows.
How Pedestal works
Three steps: capture what your team knows, refine it together, make it yours.
1
Understand
Map what your terms actually mean.
Pedestal learns from your docs, dashboards, schemas, and the people who know how things work. It extracts real definitions your whole organization can trust.
2
Iterate
Your team refines it. No code required.
Finance, RevOps, and Data review each definition. They edit, add context, and approve without touching code. When they sign off, it's locked in.
3
Validate
It becomes code you own.
Approved definitions compile to real code. Readable. Testable. Versionable. Every answer traces back to logic your team approved.
def gross_margin(df):revenue = df["revenue_usd"]cogs = df["cogs_usd"]returns = df["returns_usd"]return = (revenue - cogs - returns) / revenuereturn margin
See how it works.
Most teams are live in days, not months.
Book a 20-minute demo—we'll walk through Pedestal on real example data and map what it would look like to connect yours.
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