Verified identity for digital communication, starting with email and expanding to voice, video, and messaging.
Attacks are no longer obvious. Impersonation is cheap. AI makes persuasion scalable.
Modern attacks mimic real people, real brands, and real workflows. The signal is no longer clear.
Content scanning and training push the final trust decision onto employees, under time pressure.
Reactive filters, endless exceptions, and false positives create overhead without restoring trust.
Trust should not be inferred from content. Trust should be anchored to identity.
We introduce verifiable identity signals directly into the communication experience so recipients can distinguish verified senders from unknown or unverified sources at a glance.
This is not another content filter. It is a trust layer that helps make identity explicit and interpretable.
Clarity beats complexity. Trust indicators should be consistent, portable, and easy to interpret.
Identity is represented with clear indicators so trust decisions are faster and more defensible.
Built to reduce recurring operational burden instead of creating permanent tuning work.
Email is the entry point. The trust layer extends across voice, video, and messaging as identity risk expands.
Reality is easy to fake. The cost of confusion is rising. Identity infrastructure is finally mature.
Teams that cannot afford ambiguity about who they’re communicating with.
Operator-led. Built with enterprise constraints and real-world threat models in mind.
Founder and operator focused on strategy, partnerships, and go-to-market execution.
Enterprise technologist with deep experience in identity systems, security architecture, and large-scale platforms.
We are engaging with design partners and early investors.
