Everything you need, built in.
The essentials for teams that want to move fast without giving up control.
40+ signals, weighed against 2M outcomes.
Stage-in-pipeline, days since last touch, meeting cadence, decision-maker engagement, champion response times, discount discussions, and 34 more features go into every score. Every input is auditable.
- Temporal features: stage velocity, days-in-stage, forecast drift
- Engagement: reply rate, thread depth, meeting attendance
- Stakeholder: champions identified, exec threads, mobilizers
- Commercial: pricing discussions, procurement signals, legal back-and-forth
Better forecasts, one deal at a time.
Per-deal probabilities aggregate into team, region, and company forecasts. Reps submit commit / best-case; Atlas produces the third number — the one that's right ±3% at quarter-end.
- Deal-level → rep-level → team-level → company-level roll-up
- Variance explained in plain English ('Q2 weaker: Stripe slipped')
- Submit AI Forecast as a first-class forecast category
- Historical accuracy shown per rep and per quarter
Scores that change, move money.
When a deal slips from 72% to 48% overnight, Atlas fires a Slack alert with the exact reason and a suggested play. Leadership sees the at-risk deals before the weekly pipe review.
- Slack / Teams / email alerts on 10+ point drops
- Auto-generated save play with 3 suggested actions
- Deal-room summary for exec intervention
- Weekly 'at-risk' digest for managers and VPs
Teams ship revenue with this.
Real-world use cases across every revenue function.
Frequently asked questions
How accurate is the model?
±4% mean absolute error against actual close outcomes across our customer base, measured over trailing 90 days. Accuracy varies by vertical and stage — Atlas shows per-stage MAE in settings.
Is it trained on my data or shared data?
We ship a general base model trained on de-identified industry data. You can opt into customer-specific fine-tuning that uses only your data, deployed in an isolated tenant. No training across customers, ever.
Can reps override the AI score?
Yes. Reps can enter their own probability alongside the AI score. Managers see both and can require a reason when they diverge by 20+ points.
How often does it refresh?
Every 15 minutes for active deals, real-time on stage changes or email replies. Closed-won and closed-lost freeze at close date.