Chorus.ai

Chorus.ai, founded in 2015 and acquired by ZoomInfo in 2021 for $575 million, is a conversation intelligence platform that analyzes sales calls, meetings, and emails to extract actionable insights.

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AI-powered software that analyzes sales calls and meetings to help teams improve performance.

Chorus.ai, founded in 2015 and acquired by ZoomInfo in 2021 for $575 million, is a conversation intelligence platform that analyzes sales calls, meetings, and emails to extract actionable insights. The company specializes in using AI and machine learning to transcribe, analyze, and provide recommendations from customer interactions, helping sales teams improve performance and win rates. With 14 patents in conversation intelligence, Chorus.ai has established itself as a leader in the space, serving over 20,000 global revenue teams.

The platform integrates with Zoom and other communication tools to capture real-time data, offering features like call transcriptions, sentiment analysis, and competitive intelligence. Post-acquisition, Chorus operates under ZoomInfo's umbrella, contributing to its $70 billion addressable market. Recent focus includes expanding AI-driven insights for sales coaching and forecasting, though it faces stiff competition from newer AI-powered sales tools like Sybill, which raised $11M in 2024.

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Who buys this

  • Enterprise sales teams
  • Revenue operations leaders
  • Sales enablement professionals
  • Customer success teams
  • Go-to-market executives

Publicly disclosed clients

  • Hudl
  • TripActions

Strengths and what to watch

Strengths

  • Largest patent portfolio in conversation intelligence (14 patents)
  • Deep integration with Zoom and other collaboration tools
  • Proven adoption by over 20,000 revenue teams globally

Watch for

  • Post-acquisition integration challenges under ZoomInfo
  • Rising competition from AI-native sales tools like Sybill
  • Dependence on Zoom's ecosystem for call recording

Key Information

Founded
2015

Frequently Asked Questions

What is Chorus.ai?

Chorus.ai is an AI-powered conversation intelligence platform that analyzes sales calls, meetings, and emails to provide actionable insights. Founded in 2015, it helps sales teams improve performance and win rates through features like call transcriptions, sentiment analysis, and competitive intelligence.

How does Chorus.ai help sales teams?

Chorus.ai uses AI and machine learning to transcribe and analyze customer interactions, offering recommendations to improve sales performance. It provides insights like call transcriptions, sentiment analysis, and competitive intelligence, helping teams refine strategies and increase win rates.

Does Chorus.ai integrate with Zoom?

Yes, Chorus.ai integrates deeply with Zoom and other collaboration tools to capture real-time data from sales calls and meetings. This integration allows seamless recording, transcription, and analysis of customer interactions directly within the platform.

Who owns Chorus.ai?

Chorus.ai was acquired by ZoomInfo in 2021 for $575 million. It now operates under ZoomInfo's umbrella, contributing to its $70 billion addressable market while continuing to focus on AI-driven sales insights and coaching.

What are Chorus.ai's key features?

Chorus.ai offers features like AI-powered call transcriptions, sentiment analysis, and competitive intelligence. It also provides actionable insights from customer interactions, helping sales teams improve performance, refine strategies, and increase win rates.

How does Chorus.ai compare to competitors?

Chorus.ai leads with 14 patents in conversation intelligence and serves over 20,000 global revenue teams. However, it faces competition from newer AI-native tools like Sybill, which raised $11M in 2024, focusing on reducing administrative burdens for sales teams.

Sources

  1. www.businesswire.com — Acquisition details and market position
  2. www.businesswire.com — Patent portfolio and technology claims
  3. www.zoominfo.com — Current product capabilities and positioning
  4. techcrunch.com — Competitive landscape context