Double

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Type de tarification : Freemium
Plateforme : Web

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Double, a Y Combinator–backed AI prospecting platform, positions itself as the antidote to this modern paradox. By synthesizing web-scale research, verified contact discovery, and generative message personalization in a single workflow, Double promises to cut hours of manual research down to minutes and lift reply rates by 2–4× compared to traditional outbound sequences.

1. Web-wide Research at Machine Speed

Double’s first pillar is a proprietary research agent that crawls and reasons over public web data in real time. Unlike legacy databases that refresh monthly, Double’s crawler revisits thousands of sources—corporate websites, job boards, SEC filings, tech-stacks like BuiltWith, and even app-store listings—every time a user submits a query. The system uses a fine-tuned large-language-model stack (reportedly based on GPT-4-turbo with retrieval-augmented generation) to answer free-form questions such as “Does this company run a call center?” or “Is SOC 2 compliance mentioned anywhere on their site?” The answers are returned with inline citations so reps can verify accuracy before launching campaigns.

2. Multi-Source Email Enrichment Pipeline

Email discovery is not novel, yet Double claims “more comprehensive coverage than Apollo and RocketReach” by stitching together 10+ premium data partners, including People Data Labs, Clearbit, and niche European GDPR-compliant vendors. A probabilistic scoring layer cross-validates each address against SMTP bounces, job-change signals, and social graph updates, then assigns a “deliverability confidence” score. Users can set a threshold (e.g., ≥95 %) so only the cleanest addresses enter their CRM.

3. Generative Message Personalization

Once prospects are qualified, Double’s prompt-engineering layer auto-writes hyper-contextual snippets. The model ingests the research outputs—tech stack, recent news, hiring intent, and even podcast quotes from executives—to craft one-to-few sentences that reference non-obvious facts. Early adopters report that these AI-generated icebreakers outperform human-written templates by 20–35 % in open-to-reply conversion.
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