Revenue AI PlatformPredict revenue outcomes with unmatched accuracy.
Read your CRM, warehouse, billing and product data. Model how deals actually behave in your business. Get back a forecast with a confidence range and the reasoning attached, instead of a single number somebody has to defend.
Backtested against your own closed history before you commit. Read-only by default, with nothing written back to your CRM unless you switch it on.
Q4 forecast, enterprise segment
Recalculated hourly
- Closed
- Forecast
- Confidence range
- Plan
- Forecast
- 18.2M
- up 1.4 this week
- Plan
- 17.2M
- tracking above
- Confidence
- 80%
- 15.6M to 20.0M
Reads from
- CRM
- Data warehouse
- Billing
- Product analytics
- Support
- Marketing automation
Capabilities
Everything the forecast call actually needs
A forecast is only useful when you can see what it is made of. Each number here opens onto the deals, signals and assumptions underneath it.
Forecasts that carry their own error bars
Every forecast arrives as a range with a stated confidence level, not a single number somebody has to defend.
Finance gets a floor to plan against and a ceiling to staff for. When the range narrows, the quarter is settling. When it widens, something has changed, and the platform names what changed rather than leaving you to find it.
See what moved the number, and why
Week-over-week movement is broken down to the deal, the stage and the signal that caused it.
Instead of opening the forecast call with a two million dollar gap and no explanation, revenue operations opens with the eleven deals that slipped and the three that pulled forward. The debate starts at the cause instead of the arithmetic.
Risk scoring on every open deal
Each opportunity is scored on engagement depth, stage velocity, champion activity and buying-group coverage.
Managers walk into one-to-ones already knowing which deals are single-threaded and which have gone quiet, so coaching time lands on the deals that can still be saved rather than the ones that are already lost.
Scenarios you can run before the meeting
Model a slipped renewal, a hiring freeze, a pricing change or an underperforming segment, and see the revenue impact.
Planning stops being a workbook somebody rebuilds every quarter. Run the downside, save it, and share the assumptions alongside the output so the next person to open it can check your work.
Pipeline coverage that reflects reality
Coverage is tracked by segment, team and rep against target, with stale and duplicated pipeline discounted automatically.
Three times coverage means very little when a third of it has not been touched in six weeks. Coverage here is weighted by how the pipeline is actually behaving, which makes it a number you can plan against.
Where teams use it
Four jobs, one source of truth
Sales, finance and customer success work from the same signals, which is what stops the forecast, the plan and the renewal book from telling three different stories.
- Sales leadership and revenue operationsSales ForecastingReplace the roll-up call with a forecast that already agrees with the data.Forecast calls that debate deals, not definitions.
- Finance and strategyRevenue PlanningBuild the annual plan on the same signals that drive this quarter's forecast.A plan that stays connected to the quarter it is meant to govern.
- Sales managers and revenue operationsPipeline InsightsKnow which pipeline is real, which has stalled, and which is missing.Coverage numbers that survive contact with the quarter.
- Customer success and account managementRenewalsSee the renewal forming months before the renewal date.Renewal conversations that start early enough to matter.
How it works
From connected data to a defensible number
Four steps, no migration project. Most teams see a first modeled forecast within days of connecting a CRM.
- 01Connect dataPoint the platform at the systems that already hold your revenue data.
- 02Model signalsThe platform learns how deals behave in your business, not in general.
- 03Generate forecastsA ranged forecast, refreshed continuously, with its reasoning attached.
- 04Monitor and optimizeWatch the number move, get told why, and hold the model to account.
Customers
What changes once the number is trusted
We used to spend the first twenty minutes of every forecast call agreeing on what the number was. Now the number is already agreed and we spend that time on the deals that actually moved it. Our commit has landed inside the range every quarter since we switched.
The part that changed how we plan was scenarios. When the board asks what happens if enterprise slips a quarter, I answer in the meeting with the assumptions on screen, instead of promising them a model by Friday and rebuilding a workbook all week.
See it run against your own closed history
We backtest the model on your data before you commit to anything, so you can watch it call quarters you already know the answer to.