The Platform

Your revenue model, trained on your data

Not a generic scoring template — a forecast model fitted to your company's historical outcomes, updated weekly as new signals arrive.

Module 01

Pipeline Intelligence

Every open opportunity gets a model-generated close probability updated daily — not the rep's stage % from the dropdown. Scalivo reads CRM engagement signals (call frequency, email response rate, stage velocity, multi-threading score) alongside product activity to produce a weighted deal score. Drill from your aggregate pipeline coverage ratio to the individual deal's signal breakdown. See exactly which factors are stalling a deal that your rep has marked "commit."

Module 02

Expansion Engine

Expansion ARR is the highest-margin revenue you have — and the most commonly missed. The Expansion Engine combines DAU/MAU trend, feature adoption breadth, current MRR, and renewal date to produce an expansion probability score for every customer account. Accounts are ranked and pushed to your CRM weekly. Your CS team gets a prioritized list: accounts with rising engagement and billing headroom, sorted by probability and potential uplift. Not a health score. A ranked action queue.

Module 03

Churn Early Warning

Churn risk scores fire 60–90 days before renewal — early enough to intervene, not just document the loss. Every flag is traceable to its contributing signals: login frequency drop over 30 days, core feature abandonment rate, seat count contraction, support ticket volume. Scalivo does not output a single opaque health score. It shows you the signal vector — so your CS team walks into the call knowing what changed and when, not just that the account is "at risk."

Module 04

Forecast Room

The board-ready view: P10/P50/P90 quota attainment projections broken out by rep, team, and segment. Exportable to CSV or slide-ready format. Version-controlled — every weekly forecast snapshot is saved so you can show the board that your model held within the stated confidence band last quarter. Drill from total ARR forecast to individual rep attainment distribution. Flag accounts where model confidence diverges from rep-submitted forecast category.

Under the hood: weighted multi-signal fusion

Every account gets a signal vector assembled from three source categories: CRM engagement (stage velocity, call frequency, email thread depth, multi-threading score), product usage (DAU/MAU ratio, feature adoption breadth, API call volume, session depth), and billing signals (MRR delta over 30 and 90 days, seat count change, payment behavior, contract term). Scalivo trains a gradient-boosted model on your historical closed-won and churned outcomes — so the feature weights reflect your customers and your sales motion, not an industry benchmark from a different product. The model retrains weekly as new closed deals and churned accounts add to the training set. Signal decay is accounted for: a product engagement drop 6 weeks ago carries less weight than one that started last week.

Your pipeline data stays yours

Scalivo does not sell your data, does not use it to train shared models, and does not share it with other customers. Your signal data influences only your model.

Encrypted in transit and at rest

All data in transit over TLS 1.3. At-rest encryption with AES-256. Logical tenant isolation — your pipeline data, product signals, and billing events are partitioned from all other customer data and never enter another customer's training set.

Read-only by default

All source connections use read-only OAuth scopes. Scalivo does not write to your CRM, product analytics, or billing systems except the specific opportunity fields you configure for risk flag and expansion score push-back.

Audit log and right to deletion

Full audit log of all data sync events, available on request. On account close, all customer data — signals, model weights, and forecast history — is deleted within 30 days. No archiving, no retention for product improvement.

See what the model finds in your pipeline

14-day free trial. Connect Salesforce or HubSpot, add a product analytics source, and get your first P10/P50/P90 forecast within 48 hours. No credit card, no implementation project.