Investor FAQ

The questions we get most often, with direct answers.

No spin, including the uncomfortable ones. Prevyber is at an early stage, with a prototype and a plan: we say so openly.

If the opportunity is so big, why has no one done it already?

Because of how the incentives are built. Incumbents earn on the cure, not on prevention, and a product that prevents cannibalizes their model. Also, the technology to read language in real time arrived only in the last two or three years, and the large platforms cannot declare what is a scam without becoming the referee of content.

Google already has scam detection. Doesn't that cut you out?

Google covers its own channels and its own devices, and does so as a feature, not as a dedicated product. It cannot run interpretive detection on competitors' apps. If anything, a player that large moving on the problem validates the thesis.

The market is full of huge players. How do you fit in?

We do not compete with them, we compete with the void. Each covers one channel, while 95% of attacks exploit the human factor and no consumer product protects against social engineering across channels.

Is a sole founder a risk?

It is a fair question. The mitigation is concrete: technical and business skills covered by the same person, senior hires planned right after the round, and a round structured precisely to build the team with the capital. The plan does not hide the starting condition, it addresses it.

You read what appears on the screen. What about privacy?

Analysis favors on-device processing, content is not stored, and only what is suspicious is handled, with consent and in anonymous form. Compliance is part of the design from the start, not a constraint added later.

Won't false positives ruin the experience?

The system favors precision: multi-level thresholds, the user's context and simple feedback to correct. Better to alert less but well, than to flood with useless alarms.

Who pays for a security subscription?

It is one of the few subscriptions with a direct economic return: avoiding a single scam can be worth far more than the annual cost. And the daily-use features make the app part of the routine, not an insurance you forget.

What is the long-term moat?

Twofold: a brand that builds a relationship of trust with the person, and a network effect on the data, where every reported scam protects all the other users and becomes harder to replicate as the base grows.

Let's talk.

If you want to dig into the thesis, the market or the round, write to us. We reply directly.