About VerbaSense

Language shapes outcomes.
We help get it right.

VerbaSense was built for industries where a single phrase can trigger a compliance breach, damage a client relationship, or end up in a headline.

Give every professional a language safety net

Most communication risk happens not from malice, but from habit — phrases that felt fine until they weren't. A guarantee made in passing. A confidential detail shared carelessly. A tone that read differently than intended.

VerbaSense sits inside the tools your team already uses and catches these moments before they become problems. Not as a gatekeeper, but as a silent expert at your side.

We believe professional communication should be confident and safe — and that those two things don't have to be in conflict.

60% Average reduction in risky language incidents within 30 days
5 min Average time from signup to first risk detection
3 platforms Outlook Desktop, Outlook Web, Gmail — one license

Built on a few simple beliefs

These aren't buzzwords. They're the constraints we design under.

🔍
Precision over noise
We flag specific phrases, not entire emails. The goal is clarity — not anxiety. If everything is flagged, nothing is.
🔒
Privacy by design
Your team's communications are analyzed to help them — not stored, sold, or used to train models. What happens in your org stays in your org.
Zero workflow friction
If it requires a new tab, a new habit, or an IT ticket, it won't be used. VerbaSense works where your team already writes.
🏢
Enterprise-grade, SMB-friendly
The same risks that affect Fortune 500 legal teams affect 30-person finance firms. We built for both.
📋
Your policies, your rules
Generic risk detection is a start. Real compliance means detecting violations against your specific guidelines — not ours.
📊
Visibility creates accountability
Managers can't coach what they can't see. Department-level analytics turn vague risk into actionable insight.

Ready to protect your team's language?

1-month Pilot for $99 · Up to 10 users · No commitment.

Start Pilot →