What we build
Kavra reads every visit on several layers at once: the network it comes from, the device and environment, the integrity of the browser, how the visitor behaves and what we know about the device over time. An AI/ML risk engine weighs that evidence and returns a plain-language assessment with a recommended action: allow, verify or block.
It is built for the fraud that pays: multi-accounting, bonus abuse, account takeover, fake signups, scraping and payment fraud, and for the tools behind it: antidetect browsers, residential proxies, automation and AI agents. See how the platform works.
Why we built it
The tools that abuse websites no longer look like bots. Browsers that fake a new device for every profile, home IP addresses rented by the minute and scripts that type like people are cheap and sold off the shelf. Each of them is designed to pass one check: a CAPTCHA, an IP blocklist, a cookie or a device fingerprint.
None of them stays consistent across every layer at once. Kavra is built to find those contradictions, and to show the evidence, because a fraud team cannot defend a decision it cannot explain.
How we work
Evidence over scores
Every assessment carries the findings behind it in plain language, so analysts, support and auditors see why, not just a number.
You decide
Kavra recommends; your backend applies your rules. We never block your customers on our own.
Nothing for real people to do
All checks run in the background. Kavra never asks a visitor to solve a puzzle, drag a slider or click a checkbox.
Privacy by design
No names or emails are needed, visitor IDs are pseudonymous, and the legal basis is applied per visitor region. Details are on our security page.
False-positive discipline
New checks run in shadow mode and influence decisions only after they are validated on real traffic.
No invented numbers
We do not publish customer counts, accuracy rates or awards we cannot back up. When we publish results, we publish the method.
Company details
| Details | |
|---|---|
| Brand | Kavra Lab (product: Kavra) |
| Legal entity | SIA ADVERTIMO |
| Registration number | 42103094905 (Republic of Latvia) |
| Registered office | Pulkveža Brieža iela 21–6, Rīga, LV-1010, Latvia |
| Where data is processed | EU infrastructure as the baseline; see the privacy policy for providers outside the EEA |
| Contact | Contact form |
Editorial standards
The guides, glossary and comparison pages on this site are written and reviewed by the Kavra Lab team. We follow a few rules so the pages stay useful even to people who never buy from us.
- We explain how attacks and tools work in plain language, without detection recipes that would help attackers.
- Facts about laws, standards and other companies link to primary sources, listed under Sources on each page.
- Comparisons use each vendor's own public materials, say where another product may be the better fit, and carry the date they were checked.
- We do not publish statistics we cannot source, and we never invent customers, reviews or certifications.
- Each page shows the date its content was last updated. If you find an error, tell us through the contact form and we will correct it.