Why you can trust eMayl

eMayl only works if you can trust it. You are routing your email, and with it your identity, through software we built. That deserves more than a marketing promise. So here is exactly who we are, how we build, and why our incentives line up with yours.

eMayl is founded and driven by Rob and Michael: names, faces, and decades of experience building secure software. There is no anonymous team behind this product. Every decision in eMayl is ours, and we answer for each one. Meet us on the About page.

Everything in eMayl, from its architecture to the words on this page, is driven by us, its founders, because we extend trust with caution. That is the same caution we are asking you to bring to us, and we think a privacy product should be held to it.

It is also why we minimize open-source and third-party code. Most modern software is assembled from hundreds of dependencies its authors have never read, and every one of them is another party you are forced to trust. We use a small set of carefully chosen packages and continuously work toward needing fewer, because the less we borrow, the less you are forced to trust.

The dependencies we do keep are never set-and-forget. We monitor them continuously, with automated security audits scanning every day for newly disclosed vulnerabilities. When an issue surfaces in software we rely on, whether a security vulnerability, a bug, or anything else, fixing it goes to the front of the line: we patch, update, or replace the dependency, whichever protects you fastest.

And eMayl began as the software we wanted for our own inboxes. Building for ourselves set the bar where it belongs: the product has to reflect and enforce the values we live by.

eMayl uses AI for one job: recognizing emerging threat patterns in incoming mail, so spoofing and spearphishing attempts are caught even when they are brand new. It works inside the same real-time scan every message already passes through, and like the rest of that scan, it retains nothing after delivery.

Just as important is what our AI does not do. The models are built and trained entirely in-house, on air-gapped, on-premises infrastructure, using a corpus of hundreds of thousands of messages curated for years by co-founder Rob Abbott. Your mail is never part of that training, in any way, shape, or form, and your messages are never sent to a third-party AI service. The AI works for you, not on you.

eMayl is a paid product. A free service has to make money to survive: if that's not from you paying for the service, then it's usually made from monetizing your data. We chose the model where working for you is the only way we get paid: no ads, no trackers to feed, and your data is never sold.

And paying never becomes a trap. If you stop, your mail does not fall off a cliff: every eMaylias keeps forwarding for a 30-day grace period before your account is deactivated, so nothing you rely on disappears the moment a subscription lapses. Managing them again, including turning one off, does take an active subscription.

It would be easy to read eMayl as another aliasing tool. Hiding your address matters, but it is the floor, not the ceiling. The part we care about is what happens afterward: every eMaylias also shows you how far that address has travelled and who passed it along, with or without your permission. That turns a guess about who leaked your inbox into a fact you can do something about.

So that is where most of our current work goes. We are deepening those insights, so you can see not only that an address was shared but how the senders holding it actually behave. Personas will grow past the name and birth date they carry today. And the scan every message already passes through keeps widening, so more of what arrives is caught before it ever reaches you.

Two larger goals shape the rest of the roadmap. The first is scope: eMayl should work for a household or a small business, not only for one person, with the same visibility and management gathered in one place. The second is the reason we built this at all. Email is the last place most people still hand their identity to a service that makes its money monetizing it, or training AI models on it, and we would like to give you somewhere else to go. We will tell you when each piece lands, rather than promise you a date now, and the people building it are the same people who answer this page's contact link.

Questions this page did not answer? Check the FAQ, or ask us directly. The people replying are the people who built it.