"Personalized" emails that miss the mark
Your AI writes to someone as VP of Sales when they've been CMO for a year. The personalization makes it worse—it proves you don't actually know them.
The Hidden Bottleneck in AI ROI
Your AI tools aren't broken. Your data is.
Companies are investing heavily in AI-powered sales tools—and seeing underwhelming results. The problem isn't the technology. It's what the technology is working with.
The Problem
AI is only as smart as the data it runs on
You've invested in ZoomInfo or Apollo for enrichment. Gong for call intelligence. 6sense or Demandbase for intent. Maybe you've wired GPT into your workflows or rolled out Outreach's AI features.
And yet—the personalization feels generic. The prioritization is off. The predictions don't pan out. Your team is still guessing.
35% of B2B contacts change jobs every year.
If your CRM is 2+ years old and hasn't been cleaned, your AI is making decisions based on people who are gone.
When your AI tools ingest stale firmographics, duplicate records, and contacts who left 18 months ago, they don't get smarter—they get confidently wrong. The outputs look polished, but they're built on a foundation of noise.
Signs Your AI Tools Are Working With Bad Data
Account scoring that doesn't convert
Your intent signals say an account is hot, but firmographics are stale. You're prioritizing companies based on who they were, not who they are.
Enrichment that adds more noise
You're layering new data on top of bad data. Your enrichment tools are working fine—they're just enriching records that shouldn't exist.
Duplicates multiplying across systems
AI automation is fast. That's great when data is clean. When it's not, you're creating duplicates at scale and training models on garbage.
Forecasts that keep missing
Your AI can't predict pipeline accurately when half the contacts in your opportunities have changed jobs or gone dark.
Reps who don't trust the tools
They've been burned too many times. The AI recommended a lead that was dead. Now they ignore it and do their own research—defeating the purpose.
The Reality
Data quality is no longer optional—it's the prerequisite for AI ROI
Every AI tool you've purchased assumes your data is accurate. They don't verify it. They don't clean it. They just use it.
That assumption breaks down fast in the real world. People change jobs. Companies get acquired. Email domains expire. Phone numbers disconnect. And your CRM quietly accumulates noise while your AI tools confidently act on fiction.
- Clean data means your AI personalization actually resonates
- Verified contacts mean your sequences reach real people
- Accurate firmographics mean your scoring reflects reality
- Enriched profiles mean your models learn from signal, not noise
The companies seeing real ROI from AI aren't the ones with the best tools. They're the ones who fixed their data first.
The Solution
Three Ways to Get AI-Ready Data
Whether you need to clean what you have, enrich it deeper, or build something new—we've got you covered.
Foundation
Data Hygiene
Clean what you have. Verify, dedupe, and flag decay so your existing AI tools work with accurate records.
- Job change detection
- Email deliverability validation
- Duplicate identification
- Data decay reporting
- CRM sync with audit trail
Enhancement
Deep Enrichment
Go beyond basic cleaning. Add the company and persona context your AI needs for real personalization.
- Everything in Data Hygiene
- Company firmographic enrichment
- Persona-level insights
- Tech stack detection
- Intent signal layering
- Custom field mapping
Build
TAM/ICP Build
Start fresh with a net-new dataset built to your exact ICP—fully analyzed and ready for AI.
- Custom TAM definition
- ICP-matched account sourcing
- Full contact acquisition
- Pre-verified deliverability
- Enrichment included
- CRM-ready formatting
See what's really in your CRM
Get a free audit of 1,000 contacts. We'll show you exactly how much of your data is decayed—and what it's costing your AI tools.
Get Your Free Audit
No credit card required. Results in 48 hours.