DataAgent

Make data trust operational, not aspirational

Power AI-ready data quality with DataAgent

What results can I expect?

What's wrong with the status quo?

  • Mediocre AI GTM results

    Poor data hygiene is amplified by AI and misinforms your entire GTM strategy. Sales productivity suffers and you don’t realize it until a quarter or fiscal year is at risk.

  • Outdated, brittle, rules-based logic for data cleanup

    Fragile heuristics, ungainly automations, and overly-simplistic deduplication, normalization, and validation rules do a poor job of maintaining good CRM data hygiene

  • Ad-hoc data cleanup initiatives that waste time and money

    The quarterly fire drill to try and "get CRM hygiene in a better place" is time consuming and is out of date after one day. Data hygiene is always-on work and requires an always-on solution

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 Get transparency for three crucial data points: outdated contacts, duplicate contacts, and duplicate accounts.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.

  • Constant clarity

    DataAgent is always on and continuously surfaces 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.