Voice AI for the real world

Krisp's real-time Voice AI models make live conversations clearer and more natural, for both human-to-human and human-AI conversations.

200M
Deployments
80B
Minutes processed monthly
2500+
Customers
Discord-Logo-Blurple

"Our users expect world-class quality from their communication channels with Discord, and especially with their voice communications...Integrating Krisp's technology into our desktop and mobile applications was seamless."

Stanislav Vishnevskiy
VTO & Co-Founder, Discord
ultravox

"Integrating Krisp eliminates one of the biggest challenges of conversational AI—unwanted interruptions—ensuring seamless, interruption-free conversations."

Zach Koch
Founder & CEO, Ultravox
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"Krisp has transformed our product and the way we approach conversational AI. The improvement in call quality and customer satisfaction is undeniable—it’s like a new
 chapter in what AI can achieve for sale"

Kumar Saurav
CTO, Vodex
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"Partnering with Krisp lets us give every customer the gift of effortless conversation. Together, we’re turning every interaction into a crystal-clear, borderless experience and unlocking a new level of CX for our clients around the globe."

James Bednar
VP of Product Management, TTEC

 

Conversational AI succeeds or fails based on how well it understands speech in real-world conditions.

Krisp delivers AI-powered voice interactions both as a user-facing conversational interface and as embedded voice infrastructure used by other systems.

Across Krisp’s own applications and licensed deployments, conversation itself is the interface. Users engage through live voice, and AI operates in real time to improve understanding, timing, and conversational flow.

By stabilizing audio before it reaches conversational systems or users, Krisp enables more natural, productive voice interactions without changing interfaces or user behavior.

Krisp improves conversational AI by fixing the most common cause of failure in voice systems: poor understanding.

The Problem

Most conversational AI failures are not caused by model intelligence.

They are caused by real-world audio environments that lead to:

  • Misunderstood speech
  • Accents being misinterpreted
  • Incorrect turn-taking
  • AI talking over users or cutting them off
  • Missed cues that signal when a speaker has finished

When timing and understanding break, conversation stops feeling natural.


The Solution

Krisp applies real-time voice AI to improve speech clarity and signal quality before voice reaches conversational systems.

Cleaner audio enables:

  • More accurate speech detection
  • Fewer false interruptions
  • Improved turn-taking between humans and AI
  • More natural conversational flow

AI systems respond at the right time, in the right way, with fewer breakdowns.


Voice & Conversational AI Capabilities Enabled by Krisp

Krisp delivers next-level voice-first conversational experiences across all offerings:

  • Contact centers
    Live customer conversations, augmented by AI that improves clarity, converts accents, instantly translates 80+ languages, and provides real-time agent assistance.
  • Meetings and collaboration
    Live conversations with AI assistance, transcription, and accent conversion.
  • Real-time voice translation
    Bidirectional speech-to-speech translation that preserves conversational flow.
  • AI voice agents and assistants
    More natural responses through accurate speech detection and turn-taking.
  • SDK-powered platforms
    Voice applications and conversational AI systems use Krisp to deliver clearer, more natural real-time conversations for end users.

Why This Fits the Category

This is not a voice feature layered onto an interface.

Voice is the interface.

Krisp uses AI to make that interface usable, reliable, and natural across human-to-human and human-to-AI conversations.

 


Validation

  • Deployed on 200M+ devices
  • Processes 80B+ minutes of voice per month
  • Used in live, production conversational environments
  • Proven at global scale with real-time performance

Krisp supports the infrastructure layer that allows conversational AI to work in the real world, under real conditions, at scale.