ax1om

ax1om is a predictive scoring platform for RevOps and GTM teams. It trains gradient-boosted models on your own CRM data and scores your pipeline by conversion likelihood, so prioritization reflects what actually closes for you, not a market average. It scores across the lifecycle, all shipped today: · Leads, accounts, and opportunities by conversion likelihood · Renewal and churn propensity for existing customers · Timing, so you know when an account is entering its window, learned from a survival model on your own behavioral history Every score ships with its "why." SHAP feature importance breaks down the exact CRM fields that drove the number, in language reps already read ("renewal date < 90 days · 3 stakeholders engaged · pricing page viewed twice"), plus a Feature Stability Score so you know how far to trust each input. A score reps can explain is a score they work, and one you can defend to leadership account by account. Trained on your first-party data. The model learns from your closed-won, your fields, your motion. It uses whatever is already in your CRM, including enrichment you have pushed there, and adds no outside data of its own, so your scores do not degrade when a vendor's coverage drops. Built to be self-serve. Connect Salesforce or HubSpot via OAuth, define what "won" means, and get a working model from as few as 50 closed-won records. Minutes, not months. Scores and feature importances write back into your CRM automatically, or pull them through the Live API. No data-science hire, no multi-week engagement. Forward-validation shows predicted-vs-actual on real outcomes, so you can watch the model earn its place instead of taking it on faith. Built by an ops practitioner for ops teams who need to understand the drivers behind their revenue predictions using their own first-party data.