DataGroomr taps ZoomInfo GTM.AI for Salesforce data quality

DataGroomr has integrated ZoomInfo’s GTM.AI as a context layer for Salesforce deduplication, cleansing and enrichment. The tie-up gives customers access to verified company and contact data inside their data quality workflows and extends the same governance model used across ZoomInfo’s wider AI ecosystem.

Why it matters: - Salesforce data quality problems cascade into AI SDRs, forecasting, scoring, audience building and territory planning. - DataGroomr’s integration with ZoomInfo GTM.AI aims to fix records upstream, so downstream systems read from a verified data set instead of stale Salesforce fields. - The move reflects a shift from one-time cleansing to continuously refreshed context.

What happened: - DataGroomr now uses ZoomInfo’s verified GTM intelligence through GTM.AI in its deduplication, cleansing and enrichment workflows. - ZoomInfo confirmed DataGroomr is integrated as a Powered-by-ZoomInfo Partner App. - The integration was announced June 19, 2026, in Vancouver, Washington. - DataGroomr customers can access ZoomInfo intelligence through API and Model Context Protocol, or MCP.

The details: - DataGroomr is an AI Salesforce data quality platform that detects duplicate records, verifies accuracy, standardizes formats and automates ongoing maintenance. - DataGroomr’s machine learning engine builds models tuned to each customer’s Salesforce data and improves matching as users approve or reject merges. - A native enrichment connector brings ZoomInfo GTM intelligence into matching, verification and enrichment workflows. - The connector grounds merge decisions and missing-field fills in verified company and contact records, rather than relying only on data already in Salesforce. - A GTM Studio Data Connector lets mutual customers enrich GTM Studio Audiences using DataGroomr licenses. - API and MCP access let partners build applications directly against ZoomInfo GTM intelligence. - ZoomInfo’s GTM Context Graph includes identity-resolved data on 100 million companies, 500 million contacts and billions of buying signals. - GTM.AI serves as the headless context layer for those surfaces.

Between the lines: - The pitch is not just better enrichment. It is verified context plus automated matching, which reduces the burden on customers to reconcile conflicting records themselves. - ZoomInfo is positioning GTM.AI as shared infrastructure across multiple AI agents and platforms, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude and ChatGPT. - Governance is a key differentiator. Data flows under the same access control, permissioning, lineage and audit logging across GTM.AI surfaces. - The release cites a broad data-decay problem: roughly 70% of B2B contact data decays every year.

What's next: - DataGroomr and ZoomInfo are signaling broader ecosystem use of the same MCP endpoint for partner and customer-built agents. - Customers using the combined stack will be able to keep Salesforce data quality tied to continuously updated GTM intelligence instead of periodic refreshes. - ZoomInfo directs readers to learn more and view GTM.AI.