For B2B Companies with Dedicated Sales Teams

Stop Wasting Sales Time on Leads That Will Never Buy

We build AI lead scoring systems that predict which prospects will convert—helping your team prioritize the right leads and close 30%+ more deals

Join 20+ B2B companies with predictive lead scoring

30%+ more closed deals
Zero wasted follow-up time
Instant lead prioritization

The Lead Prioritization Nightmare

Your SDRs spend 60% of their day chasing cold leads while hot prospects sit in the queue unnoticed

Your CRM has 5,000 leads but nobody knows which 50 are actually ready to buy right now

High-value leads get cold because your team is overwhelmed and can't respond within the critical first hour

Marketing generates hundreds of leads but sales complains they're all garbage—and nobody has data to prove otherwise

Your 'lead scoring' is just simple rules from 2019 that don't account for actual buying behavior

You're losing deals to competitors who respond faster because they have better lead intelligence

We've Built Lead Scoring For 20+ B2B Companies

From enterprise software sales with 6-month cycles to high-velocity B2B services, we build AI that predicts conversion with scary accuracy.

Why Choose Us

We don't just turn on HubSpot's built-in lead scoring and call it a day. We build custom machine learning models trained on YOUR past deals—what characteristics, behaviors, and engagement patterns actually predict YOUR conversions. White box, not black box.

What Makes Us Different:

Custom ML model trained on your conversion data
Transparent scoring you can trust
Real-time predictions as leads engage

From Lead Chaos to Closing Machine

AI Predicts Who Will Buy

Machine learning analyzes 50+ signals—demographics, firmographics, website behavior, email engagement, past purchases—to score each lead's conversion probability. Your team knows exactly who to call first.

Instant Hot Lead Alerts

When a high-score lead shows buying signals (visits pricing page, downloads case study), your CRM notifies the right rep immediately. Strike while they're hot.

Close 30%+ More Deals

When reps focus on leads that will actually convert, everything improves. Higher close rates, shorter sales cycles, better pipeline velocity. Typical clients see 30%+ lift in closed deals.

What Clients Say

"Our close rate went from 18% to 29% in 90 days. Same team, same product—just way better lead intelligence."

Kevin Martinez

VP of Sales, CloudVantage SaaS

"The AI caught a $180K deal we would have missed. The lead looked cold on paper but showed perfect buying behavior."

Dana Thompson

Revenue Operations Director, TechFlow Solutions

"We cut time-to-first-contact from 24 hours to 45 minutes. Game changer in our competitive market."

Michael Chen

Sales Director, SecureData Systems

Simple 3-Step Process

Step 1

Free Lead Intelligence Audit

30-minute session analyzing your historical conversion data to identify the signals that predict YOUR deals

Step 2

We Build Your Custom ML Model

4-5 weeks to train machine learning model on your data and integrate with your CRM for real-time scoring

Step 3

Watch Your Close Rate Climb

Your team prioritizes the right leads, responds faster, and closes more deals with the same headcount.

Why We're Different

Custom ML model (not generic rules)
Trained on YOUR historical conversion data
Transparent scoring (you understand why leads score high/low)
50+ signals analyzed (demographics, behavior, engagement)
Real-time score updates as leads engage
Integration with major CRMs (Salesforce, HubSpot)
Automated hot lead alerts to right reps
Continuous learning (gets smarter over time)
A/B testing to optimize scoring criteria
ROI typically seen within 60-90 days

What's Included

Custom machine learning model development
Historical conversion data analysis
50+ signal tracking and analysis
Demographic and firmographic scoring
Website behavior tracking and scoring
Email engagement scoring
Social media engagement analysis
Lead source quality analysis
Real-time score updates
Automated high-score lead alerts
Integration with Salesforce, HubSpot, Pipedrive
Custom field mapping and enrichment
Lead routing automation
Scoring transparency dashboards
Model performance analytics and optimization

Common Questions

How is this different from our CRM's built-in lead scoring?

Built-in scoring uses simple rules (job title + company size = points). We use machine learning trained on your actual conversion data to find the complex patterns that predict YOUR deals. It's way more accurate.

How much historical data do we need?

Ideally 6-12 months of closed deals (both won and lost) with associated lead data. We need at least 100 closed opportunities to train an accurate model. The more data, the better the predictions.

What if our sales process changes?

The model continuously learns from new data and adapts. We also offer quarterly optimization reviews to retrain the model if you launch new products, enter new markets, or change your sales motion.

Can you explain why a lead scores high or low?

Yes. Unlike 'black box' AI, our models are transparent. We can show you exactly which factors contribute to each score—job title, company size, website visits, email opens, etc. No mystery math.

Does this work for long, complex sales cycles?

Absolutely. In fact, longer cycles benefit more because there are more engagement signals to analyze. Enterprise software, financial services, industrial equipment—we've done it all.

What if we don't have a data scientist on staff?

That's exactly why we exist. We handle the data science, model training, integration, and ongoing optimization. You just use the scores to prioritize your pipeline.

Ready to Get Started?

Book your free consultation and discover how we can transform your business with AI.