Make data trust operational, not aspirational

AI-ready data quality with DataAgent

What's wrong with the status quo?

  • Underperforming GTM AI

    Flawed AI research, imprecise personalization, and ineffective prioritization

  • Wasted time and resources

    Endless CRM cleanup cycles amplified by more data sources and integrations

  • Lost trust in data

    Broken processes, ignored leads, and lost productivity

What's the secret sauce?

Ensure your CRM is ready for AI GTM.

  • Visibility into the state of your CRM

    Understand where poor data quality is undermining the execution of your GTM team. Get transparency into outdated contacts, duplicate contacts, and duplicate accounts.

  • Quality AI execution with quality data

    Build your AI practices on quality data instead of orchestrating your revenue workflows on blind trust or soon-to-be-broken automations.

  • Continuous clarity

    DataAgent is always surfacing issues as your data evolves, so that your data improves over time and stays that way. This is how data trust becomes operational, not aspirational.

I'm in! Where do I start?

DataAgent represents the natural evolution of our core belief: AI is only as powerful as the foundation it’s built upon.

We’ve spent five years building Person360, the most sophisticated identity resolution engine in GTM tech and throughout the process we’ve unified billions of signals across hundreds of GTM tech stacks. We’ve seen every flavor of messy data, and we’ve built our AI engine to specifically handle the data complexity that rule-based systems cannot.