AI Voice Agents for Sales, Support & Call Automation — Just Like You.
Automate support and sales with AI voice agents that understand your business and engage naturally 24/7.
Tap to talk to Neha
Live voice · answers in under a second
Proprietary · built for enterprise call volumes
VARTA Cost Optimiser Engine
Our proprietary engine doesn't send every turn of a call to a large language model. Each call follows a deterministic flow your team designs and approves: rules, recognised intents and pre-built audio answer most turns instantly, and the LLM is called only when a turn genuinely needs reasoning. Enterprises get a fraction of the AI usage, the same approved behaviour on every call, and a ledger showing where each turn was answered and what it cost.
- LLM only when a turn needs reasoning
- Deterministic, auditable call flows
- Turn-by-turn cost ledger
Complex use cases · Core platform capabilities
Built for the hard calls — not just FAQs.
Each capability runs live on a trained agent. Tap and you're on a real AI call, with a real-time transcript as you talk.
Gemma
VartaAirlines Customer Support
Airline Support · IsiZulu
IsiZulu
Warm South African voice for VartaAirlines travel support.
Flight bookingBaggage & check-inRefunds & cases
Dr. Sarah
Healthcare Appointment
Healthcare · American English
American English
Clear, empathetic American accent for patient care.
DOB & ID verifyMasked dataAudit trail
Olivia
Call to Promote a Property
Real Estate · British English
British English
Confident and persuasive British real estate pitching.
Pitch deliveryObjection handlingSite visit booking
Wei Chen
Appointment Booking AC
Consumer Durables · Chinese
Native Mandarin
Fluent Chinese with proper honorifics and technical terms.
Mandarin scriptLive CRM lookupBooks tickets
Omar
Automobile Vehicle Recall
Automotive · Arabic
Arabic for the Gulf
Everyday Gulf Arabic, with the courtesies intact.
Gulf dialectVIN read backEnglish on request
Aishah
Govt Survey
Government · Malay
Bahasa Melayu
Formal and polite Malay for official government surveys.
Bahasa scriptData collectionConsent logging
Pooja
Appliance Feedback Call
Retail · Hindi
Hindi Conversational
Natural Hindi with empathy and context awareness.
Sentiment detectionAdapts toneEscalates smoothly
Sravani
Router Collection
Telecom · Telugu
Native Telugu
Natural spoken Telugu for logistics and collection.
Telugu scriptAddress confirmationTime slot booking
Riya
Admission in Coaching
Edtech · Indian English
Indian English
Warm and persuasive tone for student counseling.
Lead qualificationCourse pitchingFee discussions
Aditi
Forex Card Lead Qualification
Fintech · Indian English
Fintech Specialist
Fast-paced, engaging tone for modern banking.
Spoken brief on transferIntent passedKYC checks
Amit
Citizen Grievance Call
Government · Hindi
Formal Hindi
Patient and formal tone for handling citizen complaints.
De-escalationTicket raisingFollow-up tracking
Rohan
IT Service HelpDesk
IT · Indian English
Technical Support
Clear technical instructions with step-by-step guidance.
Live systems lookupGraceful fallbackTroubleshooting
Films
See VARTA work
Teaser · 56 s
The model can wait.
In a world where every voice agent waits for a model, one engine decided not to wait. Rules first, model last: seven layers, zero hesitation, the same voice at half the bill.
Explainer · 4 min
Train once. Run a million calls.
DAKSH uses a language model once per workflow, the way a programmer uses a compiler. VARTA runs every call on seven layers of code, asks the model last, and never lets it invent a route.
Walkthrough · 4 min
Configured once. Decided every turn.
Step by step through a bank KYC workflow: the configuration DAKSH writes at each step, and how it lets VARTA decide the call inside the engine instead of asking a language model.
Head to head · 1 min
Same call. Three agents.
One caller, one request, three voice agents: a cascaded pipeline, a speech-to-speech model and VARTA. Watch which one waits, which one mishears the address, and which one confirms it by rule.
Inside the engine · 47 s
One sentence through the VARTA engine
Follow one caller sentence through VARTA layer by layer: reflex, recognition and rules first, an LLM only when nothing else can answer, every step on one visible ledger.
For enterprise · 1 min
Why VARTA works for enterprise
Fluency no longer closes deals. Decisions by rule, writes to your ERP mid-call, live data volunteered only when a threshold is crossed, and a deterministic cost engine, in four markets.
Premium voices · 1 min
Keep your voices. Cut the bill.
Keep the premium voice you chose. VARTA replays the lines an agent has said before from cache, in the same voice, and sends only the new ones to your provider.
Layer 5 · 1 min
NITI: the rule engine inside VARTA
Every voice agent waits for a language model. VARTA mostly does not. NITI resolves a turn by rule in under two milliseconds, with the LLM as the last resort.
UPCHAAR and SHALYA · 2 min
How VARTA heals itself
Most voice agents stay as smart as the day they were written. VARTA’s two healing layers learn from every LLM rescue and propose structural fixes, checked before anything goes live.
Launch film · 24 s
Introducing VARTA
A voice-agent platform with a visible cost ledger: seven explicit layers, cached audio for repeated phrasing, and only the turns that need reasoning reach an LLM.
Industry verticals
Built for the industries that run on conversations
Pre-trained voice agents, workflows, and integrations purpose-built for high-volume customer interactions across these focus verticals.
- 8M+ calls/mo
Airlines & Travel
- PNR & Booking Support
- Flight Status & Alerts
- Loyalty & Upgrades
- Baggage Claims
- 60% lower CPA
Consumer Goods
- Dealer Activation
- Order & Dispatch
- Service Requests
- Warranty Renewals
- 3x recovery
BFSI
- Collections & EMI
- KYC & Onboarding
- Loan Cross-sell
- Card Activation
- 92% containment
Utility & Energy
- Bill Reminders
- Outage Communication
- Meter Reading
- New Connection
- 5x lead qualif.
Education & Coaching
- Admission Counselling
- Fee Reminders
- Course Upsell
- Parent Updates
- 40% no-show ↓
Healthcare
- Appointment Booking
- Lab Report Delivery
- Refill Reminders
- Insurance Pre-auth
- 2.4x site visits
Real Estate
- Lead Qualification
- Site Visit Booking
- Price Negotiation
- Document Collection
- 30% conv. lift
Automotive
- Test Drive Booking
- Service Reminders
- Exchange Offers
- Insurance Renewal
Runtime · call time
VARTA Engine
Watch one bank KYC call run through all seventeen layers, and see what answering with rules and cached audio saves on LLM calls and speech synthesis.
AI Agent Training Center · design time
DAKSH
How a workflow is written before any call happens: steps, rules, language data and pre-built audio, every one of them checked before it can reach a customer.
- L1
Caller: Hi, I need to reschedule my appointment.
VARTA: Sure, I can help with that. Could I get your booking ID?
100mscached — no model call - L2
Caller: It's BK4521.
VARTA: Got it, BK4521. What date works for you?
150mscached — no model call - L4
Caller: Could you check if Friday works, and if the technician can come after 5pm?
VARTA: Friday after 5pm is available -- I've held that slot for you.
650msLLM call - L6
Caller: Thank you, that's a relief.
VARTA: I understand -- glad we could sort that out for you.
100mscached — no model call - L7
Caller: That's everything, thanks, bye.
VARTA: You're all set for Friday after 5pm. Have a great day!
100mscached — no model call
- Turns
- 5
- Total cost
- ₹1.80(illustrative)
- Cache hit rate
- 80%
Why VartaVoice is Fundamentally Different
Our proprietary VARTA engine delivers real performance advantages.
- <300msavg response
Sub-500ms Latency
Streaming ASR + LLM-Last + Neural TTS pipeline delivers human-like conversation speed.
- 70%cost reduction
70% Lower LLM Cost
LLM-Last architecture invokes LLM only when necessary.
- 3xfewer tokens
Optimised LLM Usage
Context engine reduces token usage significantly.
- 100msfirst byte
Smart TTS Streaming
Streaming TTS starts instantly for natural conversation.
- 60%fewer agents
60% Seat Reduction
AI replaces repetitive call center tasks efficiently.
- ∞concurrent
24/7 Instant Scale
Scale instantly without hiring delays.
Why VartaVoice?
Empower your business with Conversational AI that supports, sells, and connects — 24×7, with natural voice interactions across every channel your customers use.
Conversational Voice AI
Natural voice conversations that handle FAQs, service requests, and lead nurturing with context-aware responses.
Voice-First Integration
Unified dashboard for inbound and outbound voice interactions across all your communication channels.
Universal Integrator Layer
Connects with any CRM, ERP, or payment system through natural-language API configuration.
Human + AI Synergy
Your agents focus on empathy while AI handles efficiency, creating the perfect balance.
Global network
Powering Voice AI Worldwide
A true 24/7 operation. Headquartered in India with localized GTM, delivery, and regional hubs across the US, UK, Middle East, and APAC.
- New Jersey, USAFounder-led GTM
- London, UKGlobal Delivery
- Amman, JordanRegional Operations
- Riyadh, KSAPartner (MyMobiForce)
- India (Global HQ)Engineering & AI
- Malaysia & SEAAPAC Hub
Global & Indian language voice AI
Speaks your customer's language.
English, Arabic, Spanish, French, German, Portuguese, Mandarin, Japanese, Malay and Bahasa Indonesia — plus Hindi, Hinglish, Tamil, Telugu, Bengali and every major Indian language. 90+ languages and dialects in all.
- Languages
- 90+
- Languages
- People covered
- 800M+
- People covered
- English
- Arabic
- Spanish
- French
- German
- Portuguese
- Mandarin
- Japanese
- Italian
- Malay
- Bahasa Indonesia
- Hindi
Why "the engine, not a prompt" matters
Most voice-agent platforms hand a language model one long, growing instruction and let it decide every turn. That single architectural choice is the common root of the problems teams report after a pilot: inconsistent behaviour on the same input, invented numbers, a pause before every reply, and a bot that quietly slides back into English mid-call.
VARTA is built the other way. Cheap, deterministic logic decides first; the language model is called only when nothing else can resolve the turn, and even then it can only choose from options the workflow itself defines -- it never composes a free-form answer.
What that buys you
- No invented prices, dates, or IDs. Logic, not the language model, owns anything that goes into a system of record. When the model does run, it picks from a shortlist the workflow defines; a low-confidence pick falls through to a re-ask instead of a guess.
- Human-speed responses. Most turns are answered without a model call at all, and cached audio plays back instead of being resynthesised live.
- A cost ledger per call, not a blended rate. Every model call, every synthesised character and every second of silence is priced and attributed, so you can see what a specific call cost -- not an average across your whole account.
- Caching that survives personalisation. A caller's name, order number and amount don't have to break the cache the way naive hash-the-sentence caching does -- see how the caching layer works on the platform page.
- Every language your callers actually speak, including how they mix them. The engine itself contains no language-specific text, so there is no English default for it to fall back to under pressure.
- Callers can interrupt, backtrack, and change their mind, and the call flow keeps track of where it needs to return to.
- Empathy your brand can govern. What the agent can, cannot and must never say to an upset caller is written down as policy, not left to a prompt's good judgment.
- A workflow a non-engineer can author, described in plain English, with an AI co-author drafting the flow, the rules and the language variants -- and an engineer can still read and review every step, because the flow is a structured graph, not a prompt.
- A decision trace, not just a transcript. Every turn records which layer of the engine answered and why, on real calls as well as test calls.
- A regression gate for conversation quality, the same way a codebase has one for correctness: before-and-after runs, not "we changed the prompt and it sounded fine on a few calls."
Live today, not a lab demo
humanise.ai runs as a live, multi-tenant SaaS product on this exact engine, handling real calls in production. Read more about how the platform is put together, or see what running it inside your own environment looks like.
Common Questions
How quickly can I deploy an AI voice agent?
Go live in under 48 hours. Upload your knowledge base, configure the persona, and start handling calls immediately.
What languages are supported?
90+ languages including English, Arabic, Spanish, French, German, Mandarin and Bahasa, plus Hindi, Tamil, Telugu, Bengali and every major Indian language — each with native accents.
Can AI agents transfer to humans?
Yes, seamless handoff with full context. Configure triggers for sentiment, complexity, or explicit requests.
What systems do you integrate with?
Salesforce, SAP, Zoho, ServiceNow, Freshdesk, and 50+ enterprise systems via pre-built connectors.
Is my data secure?
Enterprise-grade security with SOC 2 Type II in progress, end-to-end encryption, and India-based data sovereignty.
Have more questions?
Book a Demo With Us