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    Cleanlist AI

    Cleanlist AI

    Clean, verify, and enrich your B2B leads with 98% accuracy. 15+ data sources.

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    About this product

    Cleanlist AI is a data operating system for GTM teams that enriches and verifies B2B contact data by waterfalling queries across 15+ providers with 98% accuracy.

    What is Cleanlist AI?

    Cleanlist AI takes a CSV upload or connects directly to a CRM, then runs a waterfall enrichment engine that queries 15+ data providers—including Wiza, Findymail, Prospeo, and Lusha—to return verified contact data at 98% accuracy. The product operates as a web application with API and webhook support, enabling custom workflows and integrations with major sales tools.

    Key Features

    • Waterfall Enrichment — Queries 15+ data providers in sequence to maximize coverage (85–95% match rate vs. 50–70% from a single source).
    • Email Verification — Triple verification with catch-all detection delivers 98% accuracy on email validity.
    • Smart Agents — AI-powered job title normalization, data cleaning, and ICP scoring automate lead qualification.
    • Playbook Builder — Visual workflow automation for creating repeatable enrichment sequences without code.
    • CRM Sync — Native integrations with HubSpot, Salesforce, Pipedrive, and 10+ other tools for two-way data sync.
    • API Access — Full REST API and webhook support for building custom enrichment pipelines and integrations.

    Who is it for?

    • GTM operations teams — Upload a CSV of raw leads and receive enriched, deduplicated, and scored data ready for outreach.
    • Sales development reps — Connect their CRM to automatically append missing phone numbers, emails, and job titles to existing contacts.
    • Revenue operations (RevOps) — Build Playbook workflows that normalize titles, score accounts against ICP, and sync results to multiple CRMs or data warehouses.

    What can you do with Cleanlist AI?

    • Sales prospecting: Upload a list of company domains and job titles; the waterfall engine returns verified emails and phone numbers for each contact.
    • Data hygiene: Run Smart Agents to standardize job title formats, flag out-of-date records, and apply ICP scoring before importing into a CRM.
    • Automated enrichment sequences: Use Playbook Builder to chain enrichment, verification, and CRM sync into a single repeatable process triggered by webhooks or schedule.

    How does Cleanlist AI work?

    1. Input data — Upload a CSV file or connect a CRM (HubSpot, Salesforce, Pipedrive, etc.).
    2. Waterfall enrichment — The engine queries each of 15+ data providers sequentially until a match is found, maximizing coverage.
    3. Verification & normalization — Triple checks email validity and applies AI-based title standardization and ICP scoring.
    4. Output — Download the enriched CSV, sync results back to the CRM, or forward data via API/webhook.

    Pricing

    Cleanlist AI operates on a freemium model. The free plan includes 30 credits per month. Paid plans start at $29 per month. No credit card is required to begin.

    FAQ

    Is Cleanlist AI free?

    Yes. The free plan gives you 30 credits per month to enrich and verify contacts. No credit card is needed to sign up, and you can use the full waterfall engine and basic features within that quota.

    How many data providers are integrated?

    Cleanlist AI queries 15+ providers, including Wiza, Findymail, Prospeo, and Lusha. The waterfall engine calls them in sequence until a match is found, yielding 85–95% coverage compared to 50–70% from a single provider.

    What CRMs does Cleanlist AI sync with?

    Native integrations exist for HubSpot, Salesforce, Pipedrive, and 10+ other tools. The API and webhooks allow custom connections to any system that supports REST endpoints.

    What accuracy can I expect?

    Email verification achieves 98% accuracy through triple verification with catch-all detection. Job title normalization and ICP scoring are powered by AI models trained on cleaning patterns.

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    01_LAUNCH INSIGHTS

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    Pricing
    Freemium
    Launch date
    Mar 21, 2026
    Status
    Published
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