"Using Airspeed across our GTM motion helped us increase outbound-generated deals by 41% and improve churn by 2.4%."
AI Sales Forecasting
A forecast built from every call, email, and CRM field.
Airspeed pulls call sentiment, buyer behavior, deal velocity, and MEDDIC completeness into one forecast, so you stop defending a number built on half the picture.
The weather frog
Before satellites, people used frogs to predict rain.
Sales forecasting has been running on the same logic. A rep's gut feel, rolled up into a number nobody fully trusts. Airspeed replaces the guess with real signals.
The old way
You pull CRM data, skim a few call transcripts, maybe paste something into ChatGPT. You get a number. But it's missing the signals that actually predict whether a deal closes.
With Airspeed
Every deal signal lives in one place. Call sentiment, engagement patterns, rep override vs AI call, stakeholder coverage. Airspeed reads all of it and tells you where your forecast needs to move.
Deal signals
Your CRM knows what reps typed in. Airspeed knows what actually happened.
CRM data tells you what a rep recorded. Call signals tell you how the buyer actually responded. Airspeed connects both, so the forecast reflects reality, not admin.
Manager view
See quota attainment and pipeline coverage for every rep.
And see where Airspeed's signals diverge from what reps are calling, across your whole team, in real time.
The forecast
A number you can walk into the board meeting with.
When Airspeed has read your call signals, cross-checked your CRM, and modelled your pipeline, the forecast it gives you is one you can defend.
Teams using Airspeed
"CRM becomes accurate by default and GTM finally runs on what actually happened, not what someone typed later."
"Within six weeks, they saw a 30% reduction in average sales cycle length, simply because deals no longer got stuck waiting for next steps."
Forecasting for both sides of the table.
For CROs + Sales Directors
See where the number is inflated
Most forecast roll-ups are just rep sentiment, wrapped in a spreadsheet. Airspeed gives you the signal layer underneath, so you see where the number is right, where it's inflated, and what needs attention before the quarter closes.
For Reps
Know where your deals actually stand
Airspeed shows you how your deals look against real signals before you submit a forecast.
100s
of revenue teams run on Airspeed
100%
of deals analyzed, not just the ones managers know about
GA
AI forecasting, available now
Frequently asked questions
What is AI sales forecasting?
AI sales forecasting predicts revenue from what is actually happening in your deals, not just the stage and close date in the CRM. Airspeed reads every call and email, scores each deal on real buyer signals, and rolls that into a forecast that updates continuously.
What signals go into the forecast?
Call sentiment, buyer behavior, deal velocity, and MEDDIC completeness, across 100% of your deals. Deals that look healthy in the CRM but sound wrong on the calls get flagged weeks before the close date, with a specific reason.
How is this different from the forecast in my CRM?
CRM forecasts run on fields reps fill in by hand, so they are only as accurate as your last pipeline review. Airspeed fills those fields automatically from the conversations themselves and analyzes every deal, not just the ones managers know to look at.
Which CRMs does it work with?
HubSpot, Salesforce, and integrations with all other major CRMs. Airspeed writes deal data and MEDDIC fields back to your CRM automatically, so the forecast and the CRM stay in sync without rep data entry.
What does Airspeed cost?
Plans start at $5K per year. Every plan includes a forward-deployed RevOps analyst who tunes the forecast to how your team actually sells.
How fast can I see it on my own pipeline?
Teams are live in days, and you can see Airspeed AI Forecasting on your real deals in a 30-minute demo.
See what your pipeline actually looks like.
See Airspeed AI Forecasting on your real deals in 30 minutes.