Founded by European engineers with a passion for privacy and security. We're building the email protection solution we always wanted to use.
The WaverSec creators previously built enterprise email misdirection prevention at a cybersecurity and privacy company. After that chapter closed, they rebuilt the concept from scratch with a B2B focus, privacy-first architecture, and modern ML/NLP/AI at the core. We are R&D-first and committed to staying self-funded.

Experienced full-stack engineer with 10+ years in startup and product teams, shipping scalable web apps, dashboards, and integrations with strong product execution and customer-driven UX. Led migrations to modern Next.js stacks, built UI systems, and delivered cross-platform Outlook add-ins with real-time processing. Hands-on across React/TypeScript and Node, with a focus on performance, clean architecture, and fast iteration.

Hands-on engineering executive with 20+ years in platform, cloud, and distributed systems, plus an MBA and 10+ years of leadership and CTO roles. Builds and scales fault-tolerant platforms, integrates ML/AI into production, and drives cloud-native transformations under tight performance and compliance requirements. Deep expertise in backend architecture, data platforms, and ML/NLP, with a senior enterprise focus.
Engineering and R&D are at the core of how we build, validate, and ship.
Every detection engine, policy rule, and ML/NLP model is developed entirely in-house. No black-box dependencies, no third-party detection APIs. We own every line of code.
Local-first means pragmatic security. We don't receive, store, or have access to your emails. Our backend stores only organization configurations and anonymized metrics.
Entirely self-funded. No venture capital, no investor pressure. Small team, big ambitions. Built by engineers, we ship fast, iterate often, and stay close to our users.
Founded by European engineers, WaverSec Protect is developed with GDPR requirements built-in—not bolted on. Privacy-first from the start.
The same compute engine runs natively on-device and server-side for API-based deployments. One codebase, any runtime, which lets us ship novel solutions quickly without retooling.
We leverage AI-assisted testing to achieve comprehensive coverage. Combinatorial test generation, property-based testing, and automated fuzzing catch edge cases early, so we can move fast while delivering high-quality releases.
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