AI-Powered Cold Email Automation That Books Meetings

How ProspectAI Solves This

Cold email remains one of the highest-ROI outbound channels, but only when done right. The challenge is that effective cold email requires three things most teams struggle to combine: verified contact data, genuinely personalized messaging, and healthy sending infrastructure. ProspectAI solves all three in a single platform. The AI agent researches each prospect individually — analyzing their company, role, recent activity, and industry context — then writes a unique email that references specific details relevant to that person. This isn't template personalization with variables swapped in; it's original copy crafted for each recipient. On the infrastructure side, ProspectAI handles everything: provisioning custom sending domains, warming up new inboxes with realistic engagement patterns, monitoring inbox placement rates, and automatically pausing accounts before they hit spam thresholds. The warmup system runs indefinitely, maintaining a healthy sender reputation even as you scale cold volume. Follow-up sequences are timed intelligently based on engagement signals — if a prospect opens but doesn't reply, the AI adjusts the follow-up angle. If they click a link, the next message references what they viewed. The result is cold email that feels warm, achieves inbox placement rates above 85%, and converts at 3-5x the rate of traditional template-based sequences.

Challenges This Solves

• Writing personalized cold emails is time-consuming and doesn't scale beyond a handful of prospects per day
• Generic template-based sequences get flagged as spam and damage sender reputation
• Managing deliverability infrastructure — domains, warmup, rotation — requires specialized expertise most teams lack

Key Features

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  AI writes unique, researched emails for every prospect — no templates or mail-merge variables

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  Built-in email infrastructure with custom domains, warmup, and inbox health monitoring

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  Automated follow-up sequences with smart timing based on prospect engagement signals

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  Real-time deliverability tracking with auto-pause for accounts approaching spam thresholds

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  Reply detection and classification across 12 categories including interested, objection, and out-of-office

Use Cases

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  Sales teams replacing manual cold email with AI-driven personalized outreach at scale

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  Founders and small teams generating pipeline without hiring SDRs

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  Agencies managing cold email campaigns across multiple client accounts simultaneously

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