AI-driven predictive analytics and intent data for hyper-targeted B2B growth.
Everstring, now fully integrated into the ZoomInfo MarketingOS and OperationsOS ecosystems for 2026, represents the gold standard in AI-driven B2B audience intelligence. Its technical architecture utilizes a proprietary company graph that maps millions of global entities across thousands of firmographic and technographic signals. By applying machine learning models to both first-party CRM data and third-party behavioral signals, Everstring identifies patterns in buyer journeys that human analysts cannot detect. In the 2026 landscape, its market position is defined by 'Deep Signal' processing—moving beyond simple firmographics to analyze real-time hiring trends, tech-stack deployments, and executive sentiment. The platform acts as a predictive engine for Total Addressable Market (TAM) expansion, allowing enterprise teams to automate account-based marketing (ABM) workflows with high-fidelity lookalike modeling. Its core value proposition lies in its ability to eliminate 'data rot' via continuous self-healing data pipelines that synchronize directly with Salesforce, HubSpot, and Marketo, ensuring that sales and marketing alignment is backed by verifiable mathematical probability rather than intuition.
Uses k-nearest neighbors (k-NN) algorithms to identify accounts with similar firmographic and behavioral signatures to a user's best-performing customers.
The premier B2B sales intelligence platform leveraging the world's largest professional network for precision targeting.
AI-Powered B2B Prospecting & Hyper-Personalized Outreach for Modern Sales Teams.
Autonomous Conversational AI for Real-Time B2B Lead Conversion
AI-Driven Lead Hygiene and Intent-Based Filtering for High-Velocity Sales Teams.
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Tracks the installation and removal of over 20,000 specific software products across target accounts.
Automated data hygiene engine that pushes updates to CRM and pulls interaction data to refine predictive scores.
Aggregates third-party web consumption data with first-party website visits and search trends.
Identifies geographic or industry pockets where your competitors are weak and your ICP match is high.
Uses unsupervised learning to cluster current customers and reveal hidden commonalities.
Bespoke algorithm that detects inconsistencies in company data (e.g., mismatched revenue and employee counts) and corrects them via master data verification.
Identifying which accounts are likely to cancel before they reach the renewal window.
Registry Updated:2/7/2026
Determining which foreign markets have the highest density of companies fitting the core ICP.
Manual lead scoring is too slow and results in high-value leads getting cold.