AI voice agents that sound human, respond in 200ms, and speak your customer’s language.
the voice AI layer behind some of the largest sales funnels in the world. Picks up in 8 seconds, runs 10,000+ concurrent calls, handles objections, and books meetings — in English, Spanish, Hindi, Arabic, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati and Punjabi.
Real conversations, not IVR trees. Autonomous voice agents that act like your best tele-caller.
An AI voice agent is an autonomous system that holds real-time voice conversations — understanding speech, inferring intent, handling objections and completing tasks like booking meetings — without a human on the line. Modern voice agents fuse large language models with low-latency speech-to-text and text-to-speech to sound human and respond within 200 milliseconds.
Swiftex voice agents are trained specifically on Indian sales dialogues, built on co-located GPU pods for low latency, and integrated with the telephony stack, CRM and WhatsApp — so a call that starts as voice can finish as a WhatsApp confirmation in the same session.
Real conversation. Hindi–English code-switch. 38 seconds to booking.
Why Swiftex voice doesn’t feel like a voicebot.
Every conversational AI’s quality lives or dies on end-to-end latency. Anything over 400ms feels robotic. Here’s how we stay under 250ms.
Speech-to-speech budget (≈ 220ms)
Streaming inference
Tokens are streamed out of the LLM into TTS before generation completes — first audio byte in <100ms of end-of-user-speech.
Co-located GPU pods
Inference runs in the same availability zone as the telephony carrier. No cross-region round trips.
Turn-taking model
A dedicated VAD + endpoint model decides when to start, pause and back-channel — no awkward overlaps or silences.
Barge-in & interrupt
Caller can interrupt mid-sentence. TTS ducks, STT re-opens, model adapts — like talking to a human.
Objection library
Your top 40 real objections, trained from your own call history — not a generic dataset.
Warm handoff
When the caller asks for a human, Swiftex transfers the live call with a 15-second whispered context brief to the rep.
Built for how Indians actually talk.
Native accents, code-switching within a single call, and idioms that don’t translate. No “press 1 for Hindi” IVR.
Inbound, outbound, follow-up, verification — all one stack.
Inbound support
Answer every inbound call in <8 seconds — 24×7, multilingual, first-attempt resolution.
- Overflow from call-centre queues
- After-hours coverage
- Missed-call callback
Outbound campaigns
Run 10k concurrent dials with smart pacing, DND respect, and regulatory time windows.
- Lead qualification
- Meeting confirmation
- Renewal & winback
Follow-up sequences
Touch 7 to close — automatic follow-up calls at optimal times per lead, without agent fatigue.
- Multi-day cadence
- Intent-based frequency
- Stops on closed-won / opted-out
Verification & KYC
Confirm identity, address, document receipt on call with recording and consent.
- sector regulators (IRDAI, FSA, NAIC, FCA) recorded consent
- RBI KYC validation
- Tamper-evident audit trail
Service callbacks
Post-visit NPS, service reminders, appointment reschedules — without blocking agent calendars.
- NPS capture
- Service due reminders
- Feedback → CRM
Agent assist
Real-time whisper to human reps — objection prompts, compliance cues, next-best-action.
- Live transcript
- Objection prompts
- Compliance flags
WhatsApp automation
Start on voice, finish on WhatsApp — one continuous thread.
See WhatsApp → Pair withLead management
Voice is the execution layer. Lead mgmt is the orchestration layer.
See lead management → Level up humansCoaching & QA
Every AI and human call auto-scored. Reps see what works.
See coaching →AI voice, answered.
What is an AI voice agent? +
An autonomous system that holds real-time voice conversations — understanding speech, inferring intent, handling objections and completing tasks like booking meetings — without a human on the line. Modern voice agents fuse large language models with low-latency speech-to-text and text-to-speech to sound human and respond within 200 milliseconds.
What languages does Swiftex support? +
English, Hindi, Hinglish, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati and Punjabi. Code-switching within a single call (common in India) is handled natively — the agent detects language at every turn.
How low is the response latency? +
End-to-end speech-to-speech latency is typically 180–250ms — below the threshold at which humans start to perceive pauses as unnatural. Achieved with streaming STT, a 7B-parameter dialogue model and neural TTS running on co-located GPU pods.
Inbound and outbound both? +
Yes. Inbound pickup in <8 seconds, 24×7. Outbound at 10,000+ concurrent calls with smart pacing that respects DND, telecom rate limits and regulatory windows.
Does it sound robotic? +
No. Swiftex uses native-speaker neural voices with prosody, back-channels (“hmm”, “achha”), and natural turn-taking. In blind A/B tests, 74% of listeners could not reliably distinguish the agent from a human telecaller.
How does it handle objections and escalations? +
The agent runs a playbook of your top 40 objections (trained on your real calls) with branched responses. If the caller requests a human, says “manager” or crosses a confidence threshold, Swiftex warm-transfers to a live rep with a full transcript summary.
Is it compliant with DND and recording rules? +
Yes. Swiftex respects the DND / Do-Not-Call registries (TRAI, FCC, CRTC, EU PECR) and sector-specific rules (sector regulators (IRDAI, FSA, NAIC, FCA), RBI). Consent for recording is obtained at call start and stored with the transcript. SOC 2 and ISO 27001 controls apply.
What does it cost vs a tele-calling team? +
Typical outsourced tele-calling cost is $1.45–$3.60 per qualified lead. Swiftex voice agents land at $0.22–$0.48 per qualified lead at volume — telecom minutes are pass-through at cost, with no per-minute markup.
Hear it before you believe it.
15-minute call with a live Swiftex agent in your language, on your product catalog. Bring skepticism.