Kuration

Sales and RevOps teams today rely on shared databases like Pitchbook, ZoomInfo and Lusha, which all pull from the same underlying sources. Because every competitor draws from the same pool of contacts, teams end up emailing the exact same prospects with the exact same information, eliminating any advantage. This breaks down further in niche markets and fast-moving verticals, where mainstream databases offer only around 10% coverage and frequently return wrong contacts. Teams in these situations are often the last to reach a prospect because a competitor has already emailed everyone in the shared database.

Kuration lets users describe an ideal customer profile in plain English, and its AlexAI agent researches across 200+ live sources including event pages, PDFs, government registries, Google Maps, directories and the open web to build a custom dataset. It verifies every claim by cross-checking against the source, enriches companies and contacts with emails, phone numbers, firmographics and buying signals through waterfalls of 15+ providers, then deduplicates into one canonical row per company. The platform includes Deep Search for finding lookalike companies, People Search for decision-maker contacts, extractors for websites and PDFs, an LLM-based scoring and segmentation tool that learns from corrections, and two-way integrations with CRMs like HubSpot and Salesforce and cadence tools like Smartlead and Instantly. Users can then engage prospects directly on email, LinkedIn and WhatsApp with replies landing in one inbox, and lists are maintained on a schedule with suppression to avoid re-spending on already-contacted companies.

The page argues that mainstream databases all draw from the same sources, so any team using them loses any competitive edge, and that custom, continuously refreshed data has become the only approach that actually works in niche or fast-moving markets.