Krisp

Krisp

Software Development

Berkeley, California 36,984 followers

Krisp’s mission is to maximize voice productivity in online conversations.

About us

Krisp maximizes the productivity and impact of every conversation by eliminating noise distractions, increasing the fidelity of voice communication, and transcribing and synthesizing the most relevant details and analytics from every voice interaction. Unlike other solutions, Krisp works with any software or hardware configuration in a private and discreet way.

Website
https://krisp.ai/
Industry
Software Development
Company size
51-200 employees
Headquarters
Berkeley, California
Type
Privately Held
Founded
2017
Specialties
artificial intelligence, machine learning, deep learning, communication, video conferencing, recording, noise cancellation, virtual background, and voice productivity AI

Locations

Employees at Krisp

Updates

  • View organization page for Krisp, graphic

    36,984 followers

    This eye-opening discussion for anyone leveraging AI in CX is a must-see. Catch the full interview here 👉 https://lnkd.in/eGm8xRH3

    7 out of 10 people are either frustrated or annoyed with today’s AI voice agents 😱 Respondents say their biggest complaints for human agents are long wait times (39%) and the agent having difficulty understanding accents or speech clarity (39%). In this interview, John Robb, Head of Customer Success at Tenyx and I do a deep dive into how customers perceive AI voice agents today. Here’s what stood out to me most 👇 1) AI systems must focus on more than speed, including understanding pauses, interruptions, and background noise. 2) Latency improvements in AI are important, but sometimes systems may need to slow down for better interaction quality. 3) People are disappointed with the current state of automation, presenting both a problem and creating an opportunity for innovation. 4) Many current automated systems are based on outdated, 10+ year-old technology and customers expect more. 5) Automated solutions and deployment should deliver immediate benefits to both businesses and customers. 6) Technologists must avoid trying to do too much, too soon in AI development. 7) AI deployment should start small and gradually expand to be successful. 8) Striking a balance between innovation and practical application is crucial for successful AI deployment. 9) Consumer frustration likely lies more with outdated, inadequate tech than lack of human touch. 10) Consumers prefer human agents but are frustrated by long wait times and agents’ inability to understand accents. 11) Perfectly functioning automation should connect users to human agents as quickly as possible, and enable humans to be super agents once connected. 12) Effective AI agents should quickly address the top 10 customer queries and deliver needed information fast. 13) Over the next five years, AI will increasingly remember preferences, leading to smoother and more personalized interactions. 14) Fully conversational AI agents will reduce or eliminate wait times, massively improving customer experience. John, thanks for your time and insights 🙏 Full interview here 👉 https://lnkd.in/eGm8xRH3

  • Krisp reposted this

    Zoom is one of the largest Voice/Video platforms in the world. Ever wondered how Zoom builds Voice AI internally? In this interview, Tommy Gaessler, Lead Developer Advocate/Engineer at Zoom and I do a deep dive into how Zoom builds Voice AI. Here’s what stood out to me most 👇 1) Zoom has an API and SDK-first mindset 2) The SDK is a core technology 3) Zoom’s SDKs see over 55,000 weekly installs across various package managers and platforms 4) Zoom has a world-class AI team led by CTO Xuedong (XD) Huang, previously CTO at Microsoft Azure AI. 5) Zoom's platform approach aims to open as many building blocks as possible for various use cases. 6) Zoom takes a federated approach, allowing developers to integrate AI models within Zoom’s infrastructure, providing maximum flexibility 7) Prioritizing features in product management is a challenge due to the platform's scale. 8) Zoom's approach to problem-solving is taking a few steps back to fully understand it before solutioning. 9) Typically Zoom prefers building its own technology rather than buying or acquiring products. 10) Many open-source technologies are not great, prompting the need for better proprietary solutions that will benefit users. 11) By owning and continuously improving core technologies, Voice AI companies are more likely to become category leaders and own the use case. 12) Zoom is exploring AI use cases for enhancing sounds, like hearing a heartbeat better in telehealth. 13) A new voice AI inside Zoom Rooms allows identifying the primary speaker and focusing the video on them 14) Zoom was built on customer feedback and it will continue to drive their roadmap and innovations in the coming years. Tommy, thanks for your time and insights 🙏 Full interview here 👉 https://lnkd.in/egii8yJc

  • Krisp reposted this

    Zoom is one of the largest Voice/Video platforms in the world. Ever wondered how Zoom builds Voice AI internally? In this interview, Tommy Gaessler, Lead Developer Advocate/Engineer at Zoom and I do a deep dive into how Zoom builds Voice AI. Here’s what stood out to me most 👇 1) Zoom has an API and SDK-first mindset 2) The SDK is a core technology 3) Zoom’s SDKs see over 55,000 weekly installs across various package managers and platforms 4) Zoom has a world-class AI team led by CTO Xuedong (XD) Huang, previously CTO at Microsoft Azure AI. 5) Zoom's platform approach aims to open as many building blocks as possible for various use cases. 6) Zoom takes a federated approach, allowing developers to integrate AI models within Zoom’s infrastructure, providing maximum flexibility 7) Prioritizing features in product management is a challenge due to the platform's scale. 8) Zoom's approach to problem-solving is taking a few steps back to fully understand it before solutioning. 9) Typically Zoom prefers building its own technology rather than buying or acquiring products. 10) Many open-source technologies are not great, prompting the need for better proprietary solutions that will benefit users. 11) By owning and continuously improving core technologies, Voice AI companies are more likely to become category leaders and own the use case. 12) Zoom is exploring AI use cases for enhancing sounds, like hearing a heartbeat better in telehealth. 13) A new voice AI inside Zoom Rooms allows identifying the primary speaker and focusing the video on them 14) Zoom was built on customer feedback and it will continue to drive their roadmap and innovations in the coming years. Tommy, thanks for your time and insights 🙏 Full interview here 👉 https://lnkd.in/egii8yJc

  • Krisp reposted this

    Today, all Contact Center BPOs are actively integrating Voice AI technology to make their services more efficient and frontline agents more productive. This is a top-of-the-mind investment for executive teams. In this interview, Praveer Chadha, SVP of Customer Management Services at Datamatics and I do a deep dive into how they utilize AI today. Here’s what stood out to me most 👇 1) Voice AI in contact centers is here to stay and it is the way forward. 2) Current challenges include concerns about hallucination, data privacy, and impact on customer experience. 3) There's a lot of talk about AI implementation, but they still need to be fully deployed. 4) Contact center managers are afraid of changing operations, but executive teams are all in and see the big picture. 5) In the next few years, companies must adapt to AI or become Xerox and risk going out of business. 6) Praveer recommends treating AI as an investment in CapEx and letting it appreciate. 7) Properly implemented AI can reduce contact center costs by 30-40% by automating routine tasks, reducing the need for as many human agents and lowering training costs. 8) Most customer calls are not value-add, they are failure-demand stemming from customer issues. 9) The goal is to create a frictionless customer experience with AI, and AI should optimize channels for customer interactions. 10) Effective AI integration requires a seamless escalation path to human agents. 11) Voice AI can assist with real-time translation, making communication easier across languages and regions. 12) SuperCX is Datamatics' solution for transforming contact centers into AI-led operations. Praveer, thanks for your time and insights 🙏 Full interview here 👉 https://lnkd.in/d4h8fgKN

  • View organization page for Krisp, graphic

    36,984 followers

    Krisp and Vodex.ai have joined forces to perfect GenAI-powered voicebot calls with AI Noise Cancellation. 🔥 🤝 This partnership ensures high-quality lead qualification and crystal-clear communication with Vodex's advanced voicebots, even in noisy customer environments. Learn more >> https://lnkd.in/d-bscivr #VoiceClarity #LeadQualification #AI #Voicebots #Innovation #KrispAI

    Krisp and Vodex Partner to Perfect GenAI-Powered Voicebot Calls for High-Quality Lead Qualification

    Krisp and Vodex Partner to Perfect GenAI-Powered Voicebot Calls for High-Quality Lead Qualification

    https://krisp.ai/blog

  • View organization page for Krisp, graphic

    36,984 followers

    We’re excited to share insights from our CEO Davit Baghdasaryan's latest interview with Eric Guarro, SVP of Digital Transformation at ibex! 🔥✨ Discover how AI is revolutionizing digital transformation and reshaping customer service. 🚀 Catch the full interview here: https://lnkd.in/dHTBehPV #DigitalTransformation #AI #CustomerService #Innovation #KrispAI

    The AI narrative is clear | Eric Guarro (SVP Digital Transformation, Ibex)

    The AI narrative is clear | Eric Guarro (SVP Digital Transformation, Ibex)

    voice-ai-newsletter.krisp.ai

  • View organization page for Krisp, graphic

    36,984 followers

    Insightful discussion with NYTs bestselling author Shepard (Shep) Hyken and Davit Baghdasaryan on the consumer perception of AI, building (and keeping) trust around AI interactions, and striking the right balance between human interaction and AI to deliver the optimal customer experience. 🔥

    Customer: "Am I talking to an AI or a Person?" 63% of consumers are unsure about trusting AI, but don’t realize they’re interacting with it in their daily lives. Transparency in Voice AI interactions helps people feel more comfortable and trusting. In this interview, Shepard (Shep) Hyken, CX Expert and NYT bestselling author and I do a deep dive into where is voice AI going to be in 5 years. Here’s what stood out to me most 👇 1) Shep conducts consumer-based research to fuel his work and tell the industry what it needs to be thinking about. 2) Shep believes the biggest challenge in Voice AI is consumer trust and comfort. 3) 63% of consumers are unsure about trusting AI, but don’t realize they’re interacting with it in their daily lives. 4) Positive AI experiences build trust, but one bad experience can make people skeptical for a long time. 5) Transparency in Voice AI interactions helps consumers feel more comfortable and trusting. 6) AI bots should detect frustration and seamlessly transfer customers to live agents to improve service. 7) AI needs to anticipate customer needs and provide predictive insights to enhance customer service. 8) Despite Voice AI investments, many companies are still adding employees rather than replacing them. 9) Shep thinks it will be at least five years before AI starts replacing human agents. 10) The adoption of digital, bot-led self-service varies by generation, with younger people more open to it. 11) There needs to be a balance between human interaction and digital support for optimal customer experience. Shep, thanks for your time and insights 🙏 Full interview here 👉 https://lnkd.in/dHeC6EQn

  • View organization page for Krisp, graphic

    36,984 followers

    We’re thrilled to announce our partnership with Aarista Technologies 🎉 🌟 Together, we're enhancing healthcare communication with advanced AI Noise Cancellation. 🚀 This integration is set to improve physician dictation accuracy, critical for effective patient care, and will soon revolutionize telemedicine with two-way AI noise cancellation. 🎙️🏥 Learn more 👉 https://lnkd.in/dt5CthQi #KrispAI #Aarista #HealthcareInnovation #AI #NoiseCancellation #Telemedicine #Partnership

    Krisp to Provide AI Noise Cancellation to Aarista Technologies Cutting Edge Solutions

    Krisp to Provide AI Noise Cancellation to Aarista Technologies Cutting Edge Solutions

    https://krisp.ai/blog

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Funding

Krisp 4 total rounds

Last Round

Series A

US$ 9.0M

See more info on crunchbase