Krisp company profile and hiring status. Explore Krisp careers information, funding context, and official application links when available. Founded 2017. Team size: 201-500. Krisp provides AI-powered noise cancellation and meeting intelligence software that removes background noise, voices, and echoes from calls in real time. The platform also offers meeting transcription, AI meeting notes, and voice AI features for contact centers and remote teams. Krisp serves hundreds of thousands of agents and processes over 75 billion minutes of conversations monthly.
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Company profile last updated on May 27, 2026.
Krisp careers and hiring status: no open roles are currently listed here, but you can review the company profile and check the official career page for the latest openings. Official careers page
Krisp is an enterprise saas company. Krisp provides AI-powered noise cancellation and meeting intelligence software that removes background noise, voices, and echoes from calls in real time. The platform also offers meeting transcription, AI meeting notes, and voice AI features for contact centers and remote teams. Krisp serves hundreds of thousands of agents and processes over 75 billion minutes of conversations monthly.
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Candidate questions
Krisp provides AI-powered noise cancellation and meeting intelligence software that removes background noise, voices, and echoes from calls in real time. The platform also offers meeting transcription, AI meeting notes, and voice AI features for contact centers and remote teams. Krisp serves hundreds of thousands of agents and processes over 75 billion minutes of conversations monthly.
Krisp does not have open roles listed on our platform right now. Visit the official company website or career page for the latest openings. You can also subscribe to our newsletter to get notified when new roles are posted.
Krisp has raised $17.5M in total. The latest known stage is Series A.
Krisp reports an employee count of 201-500.
Krisp was founded in 2017.
Krisp is associated with AI, Voice AI, NLP, Machine Learning, Productivity Tools, SaaS, and other related technologies.
Company context