Introducing Nexus VOX

Record your voice for 10 seconds. Hear it speak 500 languages.

The first enterprise voice AI that sounds like a specific human — yours, your CEO’s, anyone’s that your customers and employees would trust — in almost every language on Earth. Built to sound like you, understands anyone, and most importantly, gets things done.

00:10

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Visitors record their own voice, Vox clones it, and plays it back in a language of their choice.

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Nexus VOX

The new gold standard for Enterprise Voice AI

Voice AI, finally built for the enterprise that sells, serves, and scales in every market

It sounds like you

Record any voice for 10 seconds. Vox clones its timbre, cadence, and emotional range…

Understands anyone

Accents, dialects, mumbling, interruptions, code-switching mid-sentence. Vox was trained on the messy reality of how people actually talk — including Gulf Arabic, Tamil-English, Bahasa-Javanese, and 500+ other languages and dialects most Voice AI can’t handle.

Gets things done

A voice agent that sounds human but can’t complete the task is a more expensive IVR.

Vox doesn’t just talk, it acts autonomously. Books the flight. Refunds the charge. Resets the password. Resolves the ticket. Because it’s built on Nexus Yellow.ai’s agentic platform, every conversation is wired to the systems that actually run your business seamlessly.

What makes it different:

Why regular voice AI isn’t really cracking the enterprise math, and why Vox does.

The problem isn’t the AI. It’s the architecture.

The way everyone else builds voice AI

Four pieces of software from four different companies.
One listens → Another thinks -> Yet Another speaks → Finally another handles the call.
Every handoff adds delay. Every vendor is a separate contract.
The voice doesn’t know what the AI is thinking.
The AI doesn’t know how the voice is feeling.

The result:

800ms+ pauses
Robotic delivery
Fragile integrations
And the voice bots all of us recognize, and unanimously hate.

The way Vox is built

One brain

One system

One runtime

Listening, thinking, speaking, and calling all happen in the same software, sharing the same understanding of the conversation in real time.

The result:

Sub-400ms responses – within the range of natural human conversation.
A voice that adjusts its tone when the caller is frustrated, understands what was just said without waiting for a transcript.

Impact

What “built as one system” actually gets you.

Every number on this page is a number a competitor can’t match. Here’s why.

End-to-end response latency within range of natural human conversation

<400ms

The pause your caller doesn’t notice

Use cases

5 Use Cases Vox Makes Perfect Sense In

The value of a voice agent is rarely in one call. It’s in the 10,000 calls a day your business can’t staff, the 47 languages you can’t hire for, the 2am shift nobody wants. These are the conversations Vox exists to handle, and what happens when it does.

Customer Service

The one with the airline

[1]

You’re at Frankfurt airport. Your connection to London was just cancelled. You call the airline — it’s 2am their time, no agents are on shift – and instead of pressing 1 for English, 2 for German, 3 for the menu you don’t need, a voice answers in your language:

“I can see your flight was cancelled. Would you like me to put you on the 6:40am tomorrow?”

You say yes. It’s done. 47 seconds total.

The business impact:

Rebooking’s that used to overflow to morning queues are resolved overnight. Containment rate on disruption calls rises from 12% to 70%+. Every passenger gets a human-quality voice in their own language – before they think to tweet about it.

The one with the bank

[2]

A caller in Riyadh and a caller in Beirut both speak Arabic — but not the same Arabic. Generic voice bots default to Modern Standard Arabic, which sounds stiff and institutional to native speakers. Vox recognizes the caller’s dialect within the first sentence and responds in kind – Gulf for the Saudi caller, Levantine for the Lebanese caller. The customer feels understood. The bank doesn’t lose a call to the agent queue.

“أهلاً فيك. شو بقدر ساعدك فيه اليوم بحسابك؟” “Welcome. How can I help you with your account today?” — in Levantine, not the stiff MSA the caller expected.

The caller pauses. Then keeps talking, in dialect.

The business impact:

One voice agent, six Arabic dialects. The bank stops losing high-value private banking calls to the agent queue, and the Gulf customer who would have hung up on an MSA bot stays on the line.

The one with the insurance claim

[3]

There’s just been an accident. The caller is shaken, probably shouldn’t be on the phone, and needs to file a first-notice-of-loss. Vox captures the claim with calm, empathetic pacing, sensing the caller’s state and adjusting tone. Dispatches a tow truck. Sends an SMS confirmation. Hands off to a human adjuster with the full transcript, so the caller doesn’t have to tell the story twice.

Softer, slower than the greeting before it. “Take your breath. You’re safe now — that’s what matters. When you’re ready, tell me where you are and I’ll get a tow on the way before we do anything else.”

A tow truck is dispatched 90 seconds later. The claim is filed while it’s en route.

The business impact:

First-notice-of-loss captured in under two minutes, tow dispatched before a human adjuster is involved. The most emotionally charged moment in your claims journey stops sounding like a form to fill out.

The one with the IT helpdesk

[4]

3am in Singapore. An engineer can’t get into the VPN and has a deployment window closing. Calling the US helpdesk means a 45-minute wait. Vox answers in Mandarin, verifies identity, resets the VPN token, confirms access — in 90 seconds. No ticket queue. No escalation. Just the answer.

“我看到你的 VPN token 过期了。我现在帮你重置 — 大概十秒钟,你试一下。” “I can see your VPN token expired. I’m resetting it now — give it ten seconds and try again.”

Engineer is back in. Deployment window saved. No ticket was ever opened.

The business impact:

Level-1 IT tickets resolved in 90 seconds, in any regional language, 24/7. Your helpdesk stops being the bottleneck on every deployment window in every timezone.

The one with the HR Support

[5]

n employee in São Paulo wants to know her leave balance. An employee in Paris is asking about parental leave policy. An employee in the Philippines needs a salary certificate for a visa application. All three get an answer in their own language, within seconds, not a form to fill out and a 3-day wait.

“Você tem 14 dias de férias acumulados, e mais 2 vencendo em março. Quer que eu já solicite alguns dias pra você?” (“You have 14 vacation days accrued, plus 2 expiring in March. Want me to go ahead and request some for you?”)

She has her answer in 8 seconds. No form. No 3-day wait.

The business impact:

HR operations handles the 20% of queries that actually need a human. The other 80% stop consuming a person’s afternoon, and your employees stop waiting three days for a leave balance.

ROI

Why stitched voice stacks get expensive fast

A voice bot built from four different vendors’ APIs isn’t just technically fragile — it’s operationally expensive. Every vendor is a separate contract, a separate SLA, a separate renewal negotiation, a separate procurement cycle, a separate integration your team has to maintain. Vox replaces all of that.

What enterprise
buyers actually ask

How many vendors am I managing?

Typical end-to-end response latency

Languages supported

Can I clone a specific brand voice?

Channels supported

CX + EX use cases

Does the voice layer know what the AI is thinking?

Cost structure at 100M+ annual minutes

Nexus Vox

<400ms

500+

Yes, from 10 seconds of audio

Telephony, web, and API from one configuration

Both, natively

Yes – shared runtime

Single platform pricing

Traditional stitched
voice stacks

4+ (STT, TTS, LLM, telephony)

700–1,200ms

20–40

No, or severely limited

Telephony-first

CX only

No — separate systems

Multiplies across per-vendor per-minute fees

Trusted by Leaders and Experts

Trusted at scale. Heard in every market.

Yellow.ai has helped us accelerate our AI automation journey for some of the most important use cases. Our After-Hours voicebot deployment with Yellow.ai has been very successful. Offering reliable customer support, the voice AI agent answers customers succinctly. Automation of routine queries has helped us save millions of dollars over the past year with high customer satisfaction.

Doug Mooneyham

Director, Operations Applications, Waste Connections

We aim to make life simple for our customers and provide service before you even think to call Ferrellgas. However, when you do need to call, Yellow.ai’s VoiceX has the ability to completely transform the customer’s interaction. Voice AI is a great tool for our customer service professionals and is so intuitive that it raises the bar on the customer’s experience with Ferrellgas. This is a new thing to watch for and Ferrellgas is so excited to collaborate on this with Yellow.ai.

Joanne Reusch

Director, Service Quality

Customer engagements are rapidly evolving from clicks to conversations, driven by advancements in conversational AI and voicebots. Yellow.ai’s generative AI-powered voice platform, VoiceX, addresses limitations like high latency, poor audio quality, and limited conversational depth. It delivers seamless, real-time voice conversations to help enterprises enhance self-serve capabilities and redefine customer experience.

Anubhav Das

Practice Director, Everest Group

The onboarding and implementation was very smooth. The team is excellent that we worked with through Yellow AI and we were able to keep to the schedule very well. The platform is fabulous, very easy and it’s really easy for me to jump in and get the information and the metrics that I need to start showing ROI. All around we’re able to see big, big returns in this short amount of time that we’ve launched. It’s really, really good.

Dayna Jordan

Chief Operating Officer, InteleTravel

With Yellow.ai, we moved from endless delays to delivering real results. In just six weeks, we launched a fully functioning AI-powered chat that now automates more than 70% of customer interactions. Our clients are thrilled, our costs are down, and our agents get to focus on the conversations that matter most. It’s truly transformed how we deliver customer service

Jeff Kramp

Chief AI Officer, VIPdesk

Hyundai Motor India, is dedicated to using cutting edge AI technology leading to elevated customer satisfaction. By leveraging Yellow.ai’s Dynamic Automation Platform, we are able to provide 24/7 customer support, run personalized marketing campaigns, enable lead-gen and boost agent productivity. With Yellow.ai, we are providing efficient, cost-effective support and setting a new standard in the industry for customer experience.

Virat Khullar

Vertical Head – Marketing, Hyundai Motor India

With deep back-end integration with the Sony CRM, the voice AI agent collects, records and analyzes user information to deliver personalized experiences. We are pleased to join hands with Yellow.ai for their support in taking Sony’s exceptional customer service support a notch higher. Within two months of going live, Isha has successfully handled over 21,000 customer and dealer calls with seamless integration.

Vishal Mathur

National Head of Customer Service, Sony India

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