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Founders Note

  • Why ROX Exists?
  • Customer Use Cases
  • Agent Swarms
  • System of Records

Product Overview

  • Pricing

Using ROX

  • Getting Started
  • Doing Research
  • PG Asistance
  • Meeting Asistance

How ROX Works

  • Platform Architecture

Copyright © 2024 RoxAI. All rights reserved. 251 Rhode Island St, Suite 207,
San Francisco, CA 94103

On this page
  1. How Rox Works
  2. Agent Swarm
  3. Abilities
  4. Engage

Transcription

What is it?

  • Description: A powerful meeting assistant built directly into the Rox Mac App that transforms your customer conversations into actionable intelligence. The Rox Agent Swarm not only captures meeting transcripts, but analyzes conversations in real-time to surface key insights, track commitments, and compile clear next steps --- all automatically organized within Rox Notes & Calendar for seamless follow-up.

  • How are people using it today:

    • Sales reps stay focused on customer conversations while Rox handles notes and follow-ups

    • Teams quickly align on meeting outcomes through AI-generated summaries

    • CS managers easily track product feedback across meetings

    • AEs use transcripts for team onboarding and relationship continuity

    • Sales leaders leverage insights for coaching and deal visibility

What’s the buzz?

  • Meeting transcription eliminates the cognitive load of note-taking, allowing sales reps to focus fully on customer conversations

  • While basic transcription tools exist, Rox's solution contextualizes transcripts and next step suggestions based on (1) your preferences, (2) previous meeting history and (3) account data.

What’s in the secret sauce?

  • Feature desiderata: accurate (high-quality transcription), intelligent (context-aware), fast (generates transcription in near real-time)

  • Technical details

    • Architecture:

      • Audio Processing: Real-time speech-to-text conversion with speaker diarization

      • Context fetching: Fetch context relevant to meeting (people, meeting history, account usage, relevant insights, etc.) using a combination of structured queries and semantic-based retrieval.

      • Analysis: Processes transcribed text using LLMs to identify key discussion points, commitments, and action items.

      • Integration: Automatically saves and organizes transcripts within Rox SOR and notes.

What’s next?

  • Automated follow-up: take next step actions (i.e., draft email, schedule calendar events)

  • In-meeting support: provide strategic real-time feedback during a meeting based on company playbooks!

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Last updated 5 months ago