Krisp

Voice AI is moving from pilot to operating model. Our new 2026 State of Voice in CX report shows what’s scaling now and where budgets are shifting. From human translation reliance falling from 65% to 35% to 60% to the biggest barriers to scaling voice support globally, the report reveals the shifts reshaping voice CX and where the market is headed next. Read the report: resources.krisp.ai/hubfs/Whi…

Day 2 at #VapiCon: @davitb just wrapped @Vapi_AI’s Future of Voice AI panel. The theme: multimodal is the norm, and voice is the easiest way in. We see it too. Krisp handles 1B+ voice AI minutes a month. Voice can't be an afterthought anymore. Visit booth #7 for a shot at $3K. Drawing at 3 PM 💸

Day 1 of #VapiCon is a wrap! 1,200 voice AI builders under one roof and the energy was unreal. 75 people demoed KrispAgent today, and one walked away with $3K cash 💸 Day 2: 🎙️ 10:20 AM: Future of Voice AI panel, main stage 🎯 Booth #7: demo KrispAgent for a shot at $3K (drawing 3 PM) 🚗 Need a ride? Grab a Krisp lift on us See you tomorrow!

Krisp is a founding member of the @DeepgramAI Marketplace, an open, reviewed directory for voice agent builders. Need clean audio and better turn-taking before a word hits STT? Find us there: deepgram.com/marketplace/kri…

Proud to be a founding member of the new @DeepgramAI marketplace

📅 You asked. You waited. It's finally here! One of our most-requested features, Multiple Calendar Support, is now live in Krisp! Enable multiple calendars from your connected account and keep all your meetings organized in one place. 💜

💥Better turn-taking, more accurate speech recognition, and cleaner transcripts. Japan-based wevnal is building voice AI agents designed to handle customer calls 24/7, from inquiries to account-related requests. @wevnalinc uses Krisp’s VIVA SDK across both speech-to-speech and STT/TTS interactions. It’s improving their agents' turn-taking and real-time speech recognition, while cleaner audio gives its speech detection system a clearer read on when customers are speaking. That carries through after the call too, improving transcript accuracy and timestamps. Voice AI is global. The infrastructure underneath it has to work across languages, architectures, and real-world conversations.

💥Deploying voice AI at scale looks different from market to market. @aethexailabs is building end-to-end voice AI, powering enterprises across emerging markets with speech models and infrastructure designed for real-world conditions. Its voice agents are built to handle the realities of live conversations, from background noise and interruptions to natural turn-taking and uneven network conditions. Aethex uses Krisp’s VIVA SDK as part of its voice infrastructure, supporting clearer, more reliable voice interactions in the real-world environments where its agents operate. A strong example of what it takes to bring reliable voice AI into production across diverse markets.

Meetings are easier when you have less to manage. KrispWork keeps conversations clear and takes care of the notes. Stay in the conversation, wherever the day takes you.

💥 @ServiceNow is building on Krisp's VIVA SDK. Their AI Voice Agents handle IT, HR, and customer service calls on the Now Platform: authenticate the caller, retrieve their context, resolve the issue, kick off the workflow, hand off to a person when one is needed. All of it runs on a transcript, and a transcript is only as good as the audio underneath it: clean speech gets you around 5% word error rate. Add a warehouse floor, an open office, or one other person talking nearby and that jumps to 15-30%. Those errors don't stay in the transcript. They become the wrong record, the wrong action, the escalation that shouldn't have happened. VIVA sits in front of the STT. Across 10 speech-to-text engines, voice isolation cut average WER by 46%, and by roughly 70% on calls with competing speakers. Turn-taking and interruption handling come from the same layer, so the agent waits out the pause while someone digs up an order number instead of talking over them. Enterprise calls don't happen in a studio so getting the voice layer right is what lets everything downstream work.

10M+ call minutes a day. Voice quality has to hold up. @telnyx helps developers scale real-time voice AI across 140+ countries, with Krisp’s VIVA built into the stack to help agents hear clearly, handle turns better, and avoid false interruptions. At this scale, voice quality affects everything the agent does next. Telnyx is building the infrastructure to make those conversations work in production.