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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…
Big one for us: Krisp ranked #2 out of 500 companies in @Cybernews’ 2026 AI Trustworthiness Ranking. 🔥
We earned a 97/100 overall score, including perfect scores in Security, Data Privacy, and Organizational Transparency.
Trust is built into the way our products work every day, from how data is handled to where processing happens and how clearly those choices are communicated.
Take a closer look at our approach to security and trust in Voice AI: krisp.ai/blog/ai-trustworthi…
3/ The numbers are especially meaningful when you look at the benchmark:
The average company scored 65/100 overall, while the average Security score was 32/100.
Krisp scored 100/100 in Security.
4/ For Voice AI operating inside real customer conversations, security and privacy are foundational.
See the full Cybernews 2026 AI Trustworthiness Rankings cybernews.com/ai-knowledge-b…
💥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.
Krisp retweeted
Better listening starts with a little chaos.
Here’s the story behind our voice isolation dataset 👇
krisp.ai/blog/speech-recogni…
💥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.
💥 @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.
Krisp retweeted
Introducing VIVA 2.5, with our most advanced models yet.
@krispHQ's Voice Isolation has been running in production for 2 years, across 1B+ mins of voice AI conversations a month, improving WER by focusing on primary speaker only.
As more teams ran voice isolation in front of their STT, we started seeing a subtle problem: on the hardest segments with most multi-speaker overlap, the model was removing too much signal which was resulting in WER degradation.
Voice Isolation 2.5 fixes that.
Across 10 STT engines from 7 vendors we saw:
– 46.4% fewer word errors
– 69.7% fewer on background speech, the hardest case there is
– No harm on clean audio. An important update from previous VI 2.1 model
– A 3.5x smaller version, comparable results
Full details: krisp.ai/developers/viva/
Krisp retweeted
I heard this feedback from day one at @krispHQ
You wanted to have our amazing noise cancellation on your phone
And now you can!
Introducing Krisp's Noise cancellation in our mobile app so you can take calls from places you probably shouldn't and nobody will know
Link below👇
Benchmarks don't prove Voice AI can hold up in a real conversation.
That gap between the demo and the day job is what our Co-Founder and CEO @davitb talked through with @CXOtodayAlerts: what it takes to run Voice AI in a contact center, and what changes now that deepfakes have grown from 0.1% to 6.5% of the fraud attempts we detect.
Read the full interview: cxotoday.com/corner-office/b…
