Today we launched Krisp Voice Translation v3 🔥 Built for calls where getting it wrong isn’t an option: prescriptions, policy numbers, account details, and mandatory disclosures in a language the agent doesn’t speak. A live healthcare deployment saw 96% accuracy, 90% of multilingual calls completed without an interpreter, and... zero patient safety incidents. 🧵show more

@krispHQ Oh good, now I can get 500x more calls from India!

Voice Translation v3 brings what teams need to deploy translation at scale: → Accuracy QA scores 100% of translated calls → Quick Phrases deliver critical content perfectly in any language → Live call audit shows admins both sides of the translation in real time → 61 production languages, in any pair, benchmarked across 6 domains More on accuracy & benchmarks:

Full details:

@krispHQ These numbers highlight how far conversational Al has progressed in recent years.

@krispHQ NO. Just hire and pay real people in the country you’re operating in.

@krispHQ If they don't speak English, I'm not talking to them. Fuck this.

@krispHQ Can this help employees in starbucks to capture my name right? :)

@krispHQ Building for the hardest environments often leads to solutions that work everywhere else. Great achievement.

@krispHQ Technology that improves understanding between people always has the potential for meaningful impact.

@krispHQ Multilingual communication remains a major challenge globally. Solutions like this can make a real difference.

@krispHQ voice translation v3? more like i translate your heart 😘

@krispHQ The focus on high-stakes conversations makes this launch stand out from many other AI announcements.

@krispHQ Breaking language barriers in healthcare can improve accessibility for millions of peoplen worldwide.

@krispHQ This is a great example of AI solving a meaningful operational challenge rather than just automating tasks.

@krispHQ wow, that's so impressive! i could listen to you all day 💕

@krispHQ Eliminating language barriers while maintaining patient safety is a powerful use case for AI.

@krispHQ Voice AI continues to evolve, but trust remains the key factor. Metrics like these help build that trust.

@krispHQ Real-world deployments are the ultimate benchmark. Congratulations on achieving such strong results.

@krispHQ accuracy more like me, a 10/10 maga queen 💅

@krispHQ Healthcare conversations leave little room for error. Great to see translation technology reaching this level of reliability.

@krispHQ 96% accuracy in live healthcare environments is a remarkable achievement. Congratulations to the team.

@krispHQ The real test of AI isn’t demos—it’s production deployments. These results speak volumes.

@TedCruz1072676 @krispHQ The ability to handle complex conversations accurately is what separates enterprise-grade Al from the rest.

@krispHQ 96% on healthcare calls is actually wild, what was the error type?

Patient safety combined with multilingual accessibility is a compelling outcome.

@krispHQ This could help organizations deliver more inclusive services without sacrificing quality or compliance

@krispHQ Accuracy with critical information such as prescriptions and account details is where translation technology is truly tested.

@krispHQ Apparently, "getting it wrong" IS an option, at least 1 in 25 calls (4%).

@krispHQ Helping agents communicate confidently across languages can transform customer and patient experiences.

@krispHQ It’s exciting to see voice translation moving closer to seamless multilingual communication.

@krispHQ Healthcare is one of the toughest proving grounds for AI. Strong results here are especially impressive.

@krispHQ The blend of operational efficiency and improved accessibility is a win-win for organizations and users alike.

@krispHQ The combination of accuracy and real-world impact makes this launch particularly exciting.

@krispHQ The 90% interpreter-free completion rate is a strong indicator of practical value at scale.

@krispHQ Looking forward to seeing how organizations leverage this technology across different industries.

@krispHQ Reducing interpreter dependency while maintaining reliability in healthcare is a meaningful milestone. Excited to see where Voice Translation v3 goes next