Customers

Running in production, on real revenue.

Fintech, B2B SaaS and BFSI teams using the same core — each starting with the module that hurt most, then widening once it proved itself.

SkydoCashfree PaymentsEbullionAbleCredit
Fintech · 120 revenue staffCross-border payments
IllustrativeReplace with approved figures before publishing
ModulesPipeline ManagementForecastingAI Revenue Analyst

A forecast the board stopped arguing with

The problem

Quarterly forecasting ran on a spreadsheet reconciled by hand from two CRMs. The number moved every week and nobody could explain which deals caused it.

What changed

Stage conversion and slippage computed from three years of the company's own history, with variance attributed deal by deal. Forecast review moved from negotiation to exception handling.

BFSI · regulatedB2B lending
IllustrativeReplace with approved figures before publishing
ModulesCustomer ExperienceRetention & ExpansionCommand Center

Churn signals that reached the account owner in time

The problem

Support tickets and product usage lived in systems the account team never opened. Renewal risk surfaced at the QBR, after the close date had already slipped twice.

What changed

Support sentiment, escalation history and usage joined to the renewal calendar, with alerts carrying the full history to the owner before the renewal conversation.

Series B · 20–200 seatsB2B SaaS
IllustrativeReplace with approved figures before publishing
ModulesDeal IntelligenceExecution EnginePipeline Management

Silent pipeline surfaced while it was still recoverable

The problem

Deals stalled without anyone noticing. By the time a rep flagged it, the champion had been unresponsive for weeks and the quarter was already committed.

What changed

Engagement decay tracked per deal against the company's own baseline, with drafted follow-ups and next-step invites queued for one-click approval.

Why they bought

The same three questions, from three different chairs.

For the CRO

A forecast you can defend to the board

Built from your history — stage conversion, slippage, rep performance — with the variance explained deal by deal, before anyone asks.

For the CFO

Leakage in dollars — found and recovered

Stalled deals, silent pipeline, missed expansions, quantified in currency. Every recommendation carries its expected impact and its evidence.

For the COO

Execution you can audit

Every AI action is scoped, approved and logged. Autonomy is a dial you set per action type — from suggest-only to fully automatic for the safe stuff.

See it on your pipeline, not ours.

Thirty minutes, your data, and an estimate of the leakage worth recovering.

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