AI Growth · Service 03
Predictive forecasting, scoring and next-best-action over your revenue data.
We consolidate your commercial data into a unified layer and build forecasting, scoring, risk and churn detection models, plus copilots that suggest the next best action. We turn CRM data into revenue decisions.
Promise: We deliver a system that predicts — and the dashboards you operate from.
The product
AI Pipeline
this week · 4 new leads
Leads
247
+34 this week
Reply rate
22%
+4pp
Demos booked
18
+6
Top 4 qualified leads
Acme Industries
Demo booked
92
AI score
BlueRiver Labs
Email sent
78
AI score
Verde Solar
In sequence
64
AI score
Northwind Co
Qualifying
51
AI score
Sound familiar?
Opaque pipeline, forecasts updated by hand every Friday, lead scoring based on gut feel. The data is there — but nobody exploits it with judgement. Decisions stay subjective.
How we ship it
We consolidate your commercial data, build predictive models for forecasting, scoring and churn, and deploy copilots that suggest the next best action to each rep.
We map every commercial data source (CRM, marketing, billing, support). We build a unified revenue warehouse with auditable data quality.
Probabilistic close forecasting, explainable lead scoring, risk prediction on active opportunities, early churn-signal detection.
AI assistant that suggests the next best action per account to each rep, based on model signals. Integrated in the CRM — it's not a separate dashboard.
Probabilistic forecast vs. team commitment, evolution of pipeline scoring, risk alerts, cost-of-acquisition metrics per segment.
→ It's not Salesforce Einstein with marketing. It's revenue intelligence built on YOUR stack, with YOUR data, with explainable models your CRO can defend in committee.
Honest filter
We don't sell to everyone. Here's who it works for and who it doesn't — so you can decide with criteria before signing.
It's for you if…
It's not for you if…
The concrete delivery
What you receive when the service ships. No "discovery phases" billed separately, no "iterations" without scope.
The promise: We deliver a system that predicts — and the dashboards you operate from.
No surprises
After the technical call with the CRO/Head of Revenue, the flow is:
Technical call
Technical call
We understand the current data stack, sales-process maturity, CRO priorities and technical constraints. Detailed proposal in 1 week.
Weeks 1-4
Weeks 1-4
Source mapping, quality assessment, revenue warehouse design, first consolidated dataset for validation.
Weeks 5-8
Weeks 5-8
Model build and validation (forecast, scoring, risk, churn). Backtesting against historical data. Iteration with the sales team.
Weeks 9-12
Weeks 9-12
Copilots deployed in the CRM. Executive dashboards live. Training for sales team and CRO. Usage metrics from day 1.
Month 4+
Month 4+
Monthly model-quality review, adjustments based on sales feedback, scoring evolution. Quarterly executive reports.
Pricing
Due to technical complexity and integration, 30 minutes of conversation beats a cold quote.
Mid-market / enterprise
$10,000–$60,000
setup / project
+ $4,000–$20,000/mo recurring
Requires a mature CRM and decent deal volume.
Case studies
← Swipe to see more cases
A reasonable benchmark: 12 months of closed/lost pipeline history and at least a couple of hundred opportunities. Below that, the models are anecdote.
Audit and data consolidation: 4-6 weeks. First production models: 8-10 weeks. Operational dashboard for the sales team: 10-12 weeks.
In your infrastructure (your own data warehouse: BigQuery, Snowflake, Redshift) or in a layer we build for you. Never in systems you don't control. GDPR-compliant from day one.
No, it amplifies them. RevOps stops wrestling with data cleanup and spends time interpreting signals and redesigning processes. What it replaces is the manual work of extraction and formatting.
30 minutes of technical conversation, no strings. We tell you what fits, what doesn't and the rough price.