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Krisp Tech Stack

Real-time voice AI for noise cancellation, translation, and agent assist

Software Development Berkeley, California 51–200 employees Founded 2017 Privately Held
krisp.ai LinkedIn

Krisp operates a real-time voice AI platform deployed across 200M+ devices processing 80B+ minutes of conversations monthly. The tech stack reveals a mature ML infrastructure (TensorFlow, PyTorch, Kubernetes, ECS/EKS) built for scale and privacy (Okta, Azure AD, Terraform-managed infrastructure). Current hiring is senior-heavy and distributed across sales, marketing, and research — signaling simultaneous pushes into mid-market enterprise (build outbound sales motion, manage large accounts) and new capability development (accent conversion, voice translation research).

Tech Stack 46 technologies

Core StackOkta Azure AD Zendesk Jira Python TensorFlow PyTorch AWS Jenkins Terraform Ansible Docker Kubernetes After Effects Adobe Premiere Pro Figma Adobe Illustrator Adobe Photoshop macOS Salesforce Service Cloud Jira Service Management Azure GCP AWS ECS AWS EKS bash VDI Chrome Synthesia Runway+16 more

What Krisp Is Building

◆Challenges

  • Enterprise client workflows
  • Customer adoption challenges
  • Technical issue resolution
  • Customer health monitoring
  • Enterprise trust and compliance
  • Pii handling
  • On-prem vdi deployments

▲Active Projects

  • Ai noise cancellation
  • Ai voice translation
  • Accent conversion
  • Manage and expand book of medium- and large-business accounts
  • Build outbound sales motion
  • Expand footprint across apac
  • Research and prototype new methods in voice ai
  • New feature go-to-market strategy
  • Demo and launch asset creation
  • Market research for differentiation

Hiring Activity

Accelerating8 roles · 8 in 30d

Department

Marketing
2
Design
1
Engineering
1
Product
1
Research
1
Sales
1
Support
1

Seniority

Senior
6
Manager
1
Mid
1
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About Krisp

Krisp builds real-time voice AI for communication platforms, contact centers, and developer integrations. Core capabilities include noise cancellation, voice isolation, bidirectional accent conversion, and speech translation spanning 60+ languages, alongside agent-assist and speech-analytics tooling. The platform is deployed at scale — 200M+ devices, 80B+ monthly conversation minutes — with customers drawn from both enterprise and developer segments. Infrastructure runs on AWS, Azure, and GCP with security-first architecture (PII handling, enterprise compliance, on-premises VDI support).

HeadquartersBerkeley, California
Company Size51–200 employees
Founded2017
Hiring MarketsArmenia

Frequently Asked Questions

What is Krisp's tech stack?

ML core: TensorFlow, PyTorch. Infrastructure: AWS (ECS, EKS), Azure, GCP, Kubernetes, Docker, Terraform. CI/CD: Jenkins. Security: Okta, Azure AD. Customer ops: Salesforce Service Cloud, Zendesk, Jira.

What is Krisp working on?

New voice AI research (accent conversion, translation, noise cancellation); enterprise sales expansion (outbound motion, APAC footprint, mid/large-account management); go-to-market for new features; and addressing enterprise workflows, PII handling, and on-premises deployments.

How this profile is built

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.