About Mailor

Mailor is an AI sales copilot for founders and lean sales teams. It exists because outbound prospecting has two expensive bottlenecks — deciding who to contact, and writing a relevant email to each of them — and both of them are now automatable.

What problem does Mailor solve?

Small teams know their product but rarely have the time to research an ICP, build a lead list, and write hundreds of individualized emails. Mailor compresses that into a single flow: describe the product, confirm the inferred customer profile, pull matching leads, generate the emails, send, and watch replies come back.

How is Mailor different from a mass-mailing tool?

Mass-mailing tools assume you already have your list and your message. Mailor produces both. The ICP inference and the per-prospect email generation are the product; sending is the delivery mechanism, not the point.

What does Mailor believe about outreach?

• Relevance beats volume. A smaller list of well-matched prospects outperforms a large scraped one.
• Opt-outs are permanent. Unsubscribe is honoured without exception, in every plan and every sequence.
• The model assists, you decide. Generated text is a draft: it can be edited, regenerated or discarded before anything leaves your account.
• Data should be legitimate. Contact data comes from licensed business-data sources rather than scraped personal profiles.

Who builds Mailor?

Mailor is built and operated by the Mailor team. Product questions, support requests and privacy or data requests all reach a human — see the contact page for the right address, or read how AI is used in the product in the AI disclosure.

Where can I read the policies?

• Privacy policy — what is collected and how it is handled.
• Terms of service — the agreement covering your use of Mailor.
• Acceptable use policy — permitted and prohibited outreach.
• Refund policy — how refunds work.