Let AI enforce your qualification rules at scale, so reps stay focused on revenue and not list cleanup.
Create natural-language filters (e.g., “>5 engineers in San Francisco,” “fintech startups hiring in Europe”) to generate precisely segmented datasets for analysis, outreach, and audience building at up to 10,000 records per run.
When signals are incomplete or ambiguous, online qualification use live web crawling and LLM reasoning to validate unknown contacts and extract missing firmographics, roles, and classifications with high accuracy.
Set the ICP that matters to your team. Create natural-language Yes/No checks using attributes like industry, team size, technology usage, hiring patterns, compliance requirements, or region, and let AI apply those rules consistently at scale.
Once your audience is qualified, you can instantly export results. Upload verified contacts into your CRM or outbound tools, ensuring your next campaign runs on clean, compliant data.
Each qualification run includes an AI-generated summary of key patterns across verified contacts, highlighting firmographics, tech clusters, and readiness indicators so you can refine targeting and update your ICP.
Binary qualification checks that score, clean, and validate B2B contacts/companies using Yes/No logic for pipeline-ready accuracy.
Enrichment appends fields; AI Filters actively verify fitness and accuracy using live signals plus manual QA.
Offline runs fast batch verification on indexed data (up to 10k records).
Online conducts deep research via web crawling and LLMs for ambiguous or missing entries.
Most Offline runs complete in minutes. Online depends on complexity, typically < 24 hours.
AI confidence + human validation yields >90% verified accuracy.
