Features
Eight capabilities behind every number
Each one exists to answer a question somebody asks in a forecast call. Together they turn a single figure into something a team can interrogate, defend and act on.
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.
Renewal and expansion signals in one place
Product usage, support load, invoice health and stakeholder change combine into a single renewal outlook per account.
Customer success sees a downgrade forming months out instead of hearing about it on the renewal call, and expansion candidates surface while the sponsor is still engaged rather than after the budget has been set.
Connects to the systems you already run
Reads your CRM, data warehouse, billing, product analytics and support tooling without a migration project.
Field mappings are yours to review before anything is used, syncs are incremental, and nothing is written back to your CRM unless you switch it on. Most teams are looking at a first modeled forecast within days.
Governance built for a board-facing number
Every forecast version is retained along with its inputs, its assumptions and the person who submitted it.
Single sign-on, role-based permissions and a complete audit history mean the number that reaches the board can be traced back to the data it came from, months after the meeting has finished.
Under the hood
Signals are weighted by what has actually predicted outcomes for you
Nothing here is a fixed template. The platform ranks each signal by how well it has predicted closes in your own history, segment by segment, and tells you when a signal has stopped being useful.
Signal strength, enterprise segment
Trailing 12 weeks
- Predictive signal
- Risk signal
- No data
Engagement depth and multi-threading strengthen as a deal matures, and the platform knows what that pattern looks like when it ends in a close. When the pattern breaks, the deal score moves and the reason is written down.
Risk signals are read in the other direction. A rising support load or a late invoice pulls the score down, and the account appears in the renewal book with the specific cause attached rather than a generic health colour.
Where a signal is missing entirely, the platform says so instead of quietly filling the gap with an average. Confidence ranges widen and the affected segment is flagged.
Bring a quarter you already know the answer to
The fastest way to judge any of this is to watch the model call a period you have already closed. That backtest is part of every evaluation.
