Voice AI Blog

The Voice AI Guide: what Voice AI is and who the main players are, an AI voice agent built for Hindi, Hinglish and English calling in India, Voice AI use cases, pricing and architecture, and deep-dives into open-weight Hindi TTS — reverse-engineering Veena, training a better Hindi voice model and running it in production.

  1. Part 1

    What Is Voice AI? How AI Voice Agents Work, What They Solve and the Top Platforms in 2026

    · 8 min read

    What is Voice AI? A plain-English guide to AI voice agents: how they work, the business problems they solve, Voice AI vs IVR, the types of Voice AI platforms and the main competitors in 2026.

    Voice AIAI voice agentsMarket overview
  2. Part 2

    An AI Voice Agent Built for India: Hindi, Hinglish and English Calls That Qualify Leads

    · 7 min read

    Meet our AI voice agent for Indian businesses. It makes and answers phone calls in Hindi, Hinglish and English, qualifies leads automatically and pushes them into your CRM. Features, and how it compares with other Voice AI platforms.

    AI voice agentVoice AI IndiaProduct
  3. Part 3

    Voice AI Use Cases, Pricing in India and the Architecture of an AI Calling Agent

    · 9 min read

    Real Voice AI use cases (real estate, lead qualification, reminders, surveys, inbound support), how per-minute Voice AI pricing works in India, and the technical architecture of an AI calling agent: OpenAI Realtime, Twilio, G.711 audio and more.

    Voice AI use casesVoice AI pricingArchitecture
  4. Part 4

    Inside Veena: Reverse-Engineering Maya Research's Open-Weight Hindi TTS Model

    · 10 min read

    A deep look at how Maya Research's Veena and Maya-1 Hindi text-to-speech models actually work: Llama-3.2-3B predicting SNAC audio codec tokens, vocabulary expansion math, the voice-design prompt format and the inference tricks that make the voice sound clean.

    Voice AIHindi TTSModel reverse-engineering
  5. Part 5

    How to Train a Hindi TTS Model Slightly Better Than Veena

    · 11 min read

    A practical, evidence-backed recipe to train an open-weight Hindi text-to-speech model that beats Maya Research's Veena: data sources, codec choice, tokenizer wins, training stages, evaluation and a nine-week project plan with GPU cost estimates.

    Hindi TTSModel trainingVoice AI
  6. Part 6

    Low-Latency Hindi Voice AI in Production: Running Veena Behind OpenAI Realtime and Twilio

    · 10 min read

    How we ship a Hindi AI phone agent with sub-second turn latency: hybrid pipeline with OpenAI Realtime for ASR, LLM and VAD, Veena self-hosted on vLLM in Mumbai for Hindi TTS, SNAC streaming decode, barge-in handling and the latency levers that actually matter.

    Voice AIHindi TTSArchitecture
  7. Part 7

    OpenAI Realtime vs Cascaded Voice Agents: What the Numbers Actually Show (and Where Hybrid Wins)

    · 9 min read

    A sourced comparison of OpenAI Realtime (speech-to-speech) and cascaded STT+LLM+TTS voice agents: real figures from a16z and Deepgram's State of Voice AI 2025, framework adoption, cost and latency math, why cascaded still dominates production, and where the hybrid lane fits — especially for Hindi and Indic voice AI.

    Voice AIArchitectureMarket
  8. Part 8

    How Blue Machines Actually Builds Their Voice AI: Floe, Aurora, Polaris and BM Zap Explained

    · 10 min read

    A technical teardown of Blue Machines AI, the Apna Group's enterprise voice AI platform. We walk through Floe (code-mix language detection), Aurora (BFSI speech-to-text), Polaris (mixture-of-experts conversational LLM), BM Zap (their in-house low-latency voice framework), and the frontier-model routing that sits behind it — then explain why Polaris is almost certainly a fine-tune of an open MoE base, not a from-scratch pretrain.

    Voice AIArchitectureIndia