Combine intent signals, ICP rules, and enriched data to automatically discover and score outbound accounts so every rep starts with prioritized, high-fit targets.


Data cleanup. Tool-switching. Bad data and inconsistent CRM records. The inconsistency adds up fast, costing reps 8+ hours per week in manual research. It's eating into selling time and showing up in your pipeline numbers.
Filter accounts based on industry, company size, region, revenue, and technology usage. This creates a clear starting list aligned with your target customer profile.
Enrich accounts with intent data and other company signals that reflect buying activity and context. This adds depth beyond basic firmographic filters.
Combine filters and signals into a single scoring model to rank accounts by fit and relevance. This removes manual sorting and keeps prioritization consistent.
Send prioritized accounts directly into CRM and outbound workflows. Reps can begin outreach without rebuilding or re-filtering lists.
These capabilities ensure discovery and scoring remain consistent, configurable, and scalable across outbound programs.
Discover accounts across industries and regions using aggregated data from more than 150 global sources.
Layer your own signals on top of firmographic, technographic, and intent data to reflect how your team defines fit and buying relevance.
Rank accounts using all defined criteria within a consistent scoring framework, removing subjective prioritization and stabilizing targeting quality.
Define different discovery and scoring logic for industries, geographies, or company sizes to maintain segmentation accuracy as outbound scales.
Sync enriched and prioritized accounts directly into your CRM and outbound tools without workflow changes.
Score and prioritize thousands of accounts efficiently, enabling continuous outbound programs without increasing manual effort.
Schedule a 30-minute walkthrough to see how Pintel.AI helps teams discover, prioritize, and target the right accounts.