AI Lead Scoring & CRM
Stop Guessing Which Leads Will Convert
Sales teams waste time on low-probability leads. Your CRM data holds predictive signals that most companies don't use. We build AI models that score leads, predict deal outcomes, and surface actionable insights directly in your existing CRM — so your reps focus on the opportunities that matter.
What You Get
Five integrated capabilities that turn your CRM from a record system into a revenue intelligence platform.
Predictive Lead Scoring
ML models that rank leads by conversion probability using your historical data. Focus your team's time on the deals most likely to close.
Pipeline Forecasting
Accurate revenue predictions based on deal signals, not gut feeling. Know what's coming next quarter before it arrives.
CRM Integration
Native integration with Salesforce, HubSpot, and other major CRM platforms. Scores and insights surface where your reps already work.
A/B Testing & Optimization
Continuously test and refine scoring models for maximum accuracy. Every iteration makes your predictions sharper.
RevOps Analytics
Dashboards showing win rates, cycle times, and pipeline health by segment. The metrics your revenue team actually needs.
Subscription + Initial Setup
Priced per account/seat with an initial setup phase. Includes model training on your historical data, CRM integration, and ongoing optimization to keep scoring accuracy high as your market evolves.
Request Pricing DetailsFrom CRM Data to Predictive Scoring in 10 Weeks
Data & Pipeline Audit
Assess CRM data quality, map conversion events, and identify predictive features across your sales funnel
Model Development
Train scoring models on your historical win/loss data using gradient-boosted and logistic regression ensembles
CRM Integration
Surface scores, explanations, and next-best-actions natively in Salesforce, HubSpot, or your CRM
Calibration & Rollout
A/B test model accuracy against rep intuition, calibrate thresholds, and launch with RevOps dashboards
Predictive Scoring Across Industries
B2B Technology
Score inbound leads using product usage signals, firmographic data, and engagement history to prioritize sales outreach.
Financial Services
Rank cross-sell and upsell opportunities by analyzing transaction patterns, life events, and portfolio data.
Commercial Real Estate
Predict buyer intent from property search patterns, inquiry frequency, and financial pre-qualification data.
Manufacturing
Score distributor and channel partner leads based on order history, territory potential, and seasonal demand signals.
Mercedes-AMG
30% increase in workflow efficiency through data-driven process optimization. We helped Mercedes-AMG transform raw operational data into actionable intelligence that streamlined decision-making across teams.
Read the Case StudyCommon Questions About AI Lead Scoring
What data does the scoring model use?
The model trains on your historical CRM data: deal outcomes, engagement signals (emails, calls, meetings), firmographic attributes, and behavioral data like website visits and content downloads. We identify predictive features specific to your sales motion.
How does it integrate with Salesforce or HubSpot?
Scores and explanations surface natively inside your CRM as custom fields and dashboard widgets. Reps see scores where they already work — no new tool to learn, no tab-switching.
How long until we see results?
Initial scoring models are live within 10 weeks. Most customers see measurable improvements in pipeline efficiency within the first quarter as reps learn to trust and act on the scores.
What if our CRM data quality is poor?
We start with a data audit to assess completeness and identify gaps. Data enrichment and cleaning are part of the setup phase. Even with imperfect data, models can deliver value — and accuracy improves as data hygiene improves over time.
Ready to Turn Your CRM Into a Revenue Engine?
Tell us about your sales pipeline and CRM setup. We'll show you where predictive scoring can make the biggest impact — no commitment required.
Discuss Your Challenge