Voice AI Platform

Voice AI that runs
on your terms.

Build a fully sovereign voice AI stack with open-source voice cloning and SIP integration — or deploy NextNeural, our pre-built platform. Multilingual across Indian and global languages. Inbound and outbound campaigns. Every call recorded, transcribed, and structured. Agents backed by your data.

Works with
SIP / PSTNTwilioPlivoExotelAsteriskFreeSWITCHWebRTC
Two ways to build

Custom stack or
ready-to-deploy platform.

Whether you need deep customisation or want to move fast, we cover both paths — with the same underlying capability.

Custom Build

Build your own sovereign stack

Superteams embeds an R&D team to design and ship a custom voice AI infrastructure — running entirely on your cloud or on-premise. Full IP ownership, zero vendor lock-in.

  • Open-source ASR & TTS fine-tuned to your domain
  • Custom voice cloning from your brand recordings
  • Deep integration with your data, APIs, and workflows
  • Sovereign deployment — no third-party data exposure
  • Full source code and documentation handoff
Discuss a custom build
Full capability stack

Everything the modern
voice AI stack needs.

From the audio layer to the data layer — built to run in production, not just demos.

Open-source voice cloning

Brand-owned voices built on Coqui XTTS, F5-TTS, and Kokoro — cloned from a short reference recording and deployed entirely on your infrastructure.

Fully sovereign architecture

ASR, TTS, LLM, and audio all run on your cloud or on-premise. Zero data egress to third-party APIs — critical for regulated industries.

SIP & telephony integration

Native SIP trunk support plus connectors for Twilio, Plivo, Exotel, Asterisk, and FreeSWITCH — plug into your existing telephony without disruption.

Sub-800ms end-to-end latency

Optimized inference stack with edge-deployed ASR and streamed TTS synthesis — conversations feel natural, not robotic.

Multilingual — India & global

Hindi, Tamil, Telugu, Bengali, Kannada, Malayalam, Marathi, Gujarati, and 15+ global languages. ASR models fine-tuned for regional accents.

Inbound & outbound campaigns

Run AI-driven outbound calling campaigns at scale. Handle inbound calls with conversational agents that replace legacy IVR trees entirely.

Recordings, transcripts & structured data

Every call is recorded, transcribed, and parsed into structured fields. Download recordings, export transcripts, or push structured data to your CRM or data warehouse.

SQL & document-backed knowledge

Voice agents query your live databases and document stores in real time — answering account questions, checking inventory, or surfacing policy details mid-call.

Agentic workflows & human handoff

Chain voice agents with web search, document retrieval, and API tools. Route complex cases to a human agent or specialist AI agent with full conversation context.

How it works

From first call to
production in weeks.

01

Stack Decision

We map your call flows, data sources, and compliance requirements. We help you choose between a custom sovereign build and a NextNeural platform deployment.

02

Voice & Telephony Design

ASR/TTS pipeline selection, voice cloning model training, SIP trunk or telephony provider integration, and low-latency serving architecture design.

03

Agent & Workflow Build

Conversational agents connected to your SQL databases, document stores, and APIs. Inbound and outbound campaign flows built and tested on real traffic.

04

Deploy & Hand Off

Production deployment with call recording pipelines, transcript exports, structured data routing to your CRM, and full knowledge transfer to your team.

India-first, globally ready

Voice AI built for
Bharat and beyond.

Most voice AI platforms treat Indian languages as an afterthought. We don't. Our ASR models are fine-tuned for regional accents, code-switching (Hinglish, Tanglish), and the acoustic conditions of real Indian call centres.

Discuss your language requirements

Indian Languages

HindiTamilTeluguKannadaMalayalamBengaliMarathiGujaratiPunjabiOdia

Global Languages

English (US/UK)ArabicSpanishFrenchPortugueseMandarinSwahiliIndonesianJapanese+more
In the real world

What this looks like
when it's running.

BFSI

A microfinance company runs 30,000 daily EMI reminder calls in Hindi — with a sovereign AI stack that also captures structured responses from customers about preferred payment dates, repayment intent, and financial constraints, feeding directly into their CRM.

Higher collection rates, richer borrower data, zero third-party data exposure
SaaS

A SaaS platform streamlined its outbound sales pipeline by connecting voice AI directly to its leads database — automatically qualifying prospects, handling objections, and booking discovery calls with sales reps.

3× pipeline throughput, no SDR headcount added
E-commerce

A retailer reduced cart drop-off by deploying a voice agent that proactively reaches out to hesitant shoppers — answering product questions in real time using live catalogue, personalised transaction history, and recommendation data.

Significant reduction in cart abandonment, higher conversion on outreach
Common questions

Before you
book the call.

Ask us anything
What does "sovereign architecture" mean in practice?

Every component — ASR, TTS, voice cloning model, and LLM — runs on your infrastructure. No audio or transcript data is sent to OpenAI, Google, or any external API. This matters for BFSI, healthcare, and government use cases with strict data residency requirements.

What is NextNeural and how does it differ from a custom build?

NextNeural is our pre-built Voice AI platform — with voice cloning, SIP integration, multilingual ASR, campaign management, recording storage, and agentic tools already assembled. A custom build gives you deeper integration and IP ownership. We help you choose based on your timeline and requirements.

Which Indian languages do you support?

Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, and Odia — with ASR fine-tuned for regional accents and code-switching (Hinglish, Tanglish). We also support 15+ global languages including Arabic, Spanish, French, and Mandarin.

Can the voice agent query our database in real time during a call?

Yes. Agents are connected to your SQL databases, vector document stores, and web search tools. Account balance, policy lookup, inventory check — all answered within the call latency budget.

How fast can we go to production?

With NextNeural, a standard deployment with your telephony provider takes 1–2 weeks. A custom sovereign stack typically takes 4–6 weeks from kickoff to live calls, depending on integration complexity.

Ready to build?

Your voice AI stack
starts with one call.

Book a 30-minute strategy session. We'll map your call flows, language requirements, and data sources — and tell you exactly whether to build custom or deploy NextNeural.

Usually responds within 24 hours · No commitment required