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AI-powered self-service analytics

Self-service sales analytics that never invents a number.

Ask in plain English. Covirage chooses the calculation, runs it in deterministic code, and shows the figure with the rows behind it. No dashboard backlog, no analyst queue, no hallucinated totals.

Upload sample data to try itSee a demoUpload a file or send one on a schedule. Every answer names its source.
Askevery figure from a tool
Which accounts in the Northeast grew last quarter but are below 50% coverage?
Eleven accounts. Together they grew 18% quarter on quarter and sit at 41% average coverage. The three largest are 2291, 0876 and 1140. Ranked list below, with the rows behind each figure.
from accounts_filter(region=NE, growth>0, coverage<0.5) · rank(by=revenue)
0figures produced by the model
4 smedian time to a reconciled answer
1definition of every metric, owned by ops

Why a question beats a dashboard

A dashboard answers what someone anticipated. Self-service means the person with the question gets to ask the next one, and gets a number they can take into a meeting.

Plain-English questions

Filters, comparisons, rankings and time windows, understood the way your team says them.

Deterministic answers

Every figure is computed by our tools and checked. The AI model explains it; it never does the arithmetic.

Governed definitions

One definition of revenue, coverage and share, set by ops and used by every answer.

How it works

Three steps, in this order.

Send a file

Upload it, push it to the API, or drop it in storage on a schedule. One format, whatever the source.

Define

Confirm the definitions. Ops owns them; everyone else inherits them.

Ask

Anyone on the team, any question, with the rows behind every figure.

“We stopped building dashboards nobody opened. People just ask now.”How a head of sales operations would put it

Questions teams ask

Short answers. The Help center has the long ones.

How is this different from asking a chatbot?

A chatbot writes the number. Covirage runs a tool that computes it and shows the rows. The model only chooses the tool and explains the result.

What if the question cannot be answered from the data?

It says so, and says what data would be needed. It never fills the gap with a guess.

Can I see how an answer was built?

Every answer names the tools it called and links to the rows they used.

Read more

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