Krisp builds real-time voice AI covering noise cancellation, voice isolation, accent conversion, speech translation and infrastructure for AI voice agents. Its ML serving stack (PyTorch, TensorRT, Triton, vLLM, Ray Serve) points to heavy investment in low-latency inference. Current hiring is accelerating and skews to marketing, finance and sales in Armenia, signaling a push to convert self-serve usage into paid team accounts and build an outbound motion.
Krisp is a privately held voice AI company founded in 2017 and headquartered in Berkeley, California, with 51–200 employees. Its products improve live voice conversations through noise cancellation, voice isolation, bidirectional accent conversion, multilingual speech translation, agent assist and speech analytics. It also provides infrastructure for developers building AI voice agents. Krisp serves individual users, businesses and developers, with a self-serve model alongside sales-led team accounts, and runs payments through Stripe and PayPal and customer support through Zendesk and Salesforce Service Cloud.
Krisp's ML stack includes Python, PyTorch, TensorFlow, TensorRT, Triton, vLLM and Ray Serve, alongside Jira, Notion, Amplitude, Okta, Salesforce Service Cloud, Zendesk and Stripe.
Krisp's current openings are in Armenia, focused mainly on marketing with additional finance and sales roles, and hiring is accelerating.
Krisp is launching new models, APIs and SDK capabilities, producing launch demos and short-form video, and building an AI-native revenue engine and outbound sales motion.
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Krisp's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
