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Frank
Quiet
#9547 Radar 22

An AI meeting assistant that fact-checks claims and detects deception in real-time.

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Product memo

Frank joins virtual meetings to provide real-time fact-checking, helping participants identify inaccuracies and evasiveness. It targets individuals who need an objective assistant to catch details easily missed during discussions. By focusing on specific 'slip-ups' like financial discrepancies, technical inaccuracies, and dodged questions, it offers a specialized tool for more informed decision-making.

For who

Meeting participants needing real-time fact-checking

Solves what

Detects lies, bad math, and dodged questions during virtual meetings.

  • Real-time fact-checking
  • AI-powered analysis
  • Supports Zoom, Meet, Teams

In their own words

Frank doesn't let anyone bullshit you in meetings.

The quiet advisor in every meeting

He joins your Zoom, Google Meet, or Microsoft Teams call and quietly tells you when something's off — bad math, financial sleight of hand, technical claims that don't hold up, contradictions with what was said earlier, dodged questions, and promises with no name on them.

CTA: Get started

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A 60-day trial substitutes for a free tier, lowering adoption friction.
  • All core fact-checking features are included across every paid.

Operator context

Operating setup

Founded

May 2026

Platform

Web app

Audience

General

Social footprint

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About Frank Expand

Frank is an AI-driven meeting assistant that provides real-time fact-checking during virtual calls. Designed for meeting participants, it helps identify inaccuracies, financial sleight of hand, technical claims that don't hold up, and contradictions.

Frank integrates with popular platforms like Zoom, Google Meet, and Microsoft Teams, quietly flagging when something is amiss. Its specialized focus on detecting specific types of 'slip-ups' — from bad math to dodged questions — helps users make more informed decisions.

This approach offers a distinct advantage over generic meeting tools, providing a specialized layer of scrutiny for critical discussions.