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✦Edge AI · Build For Indian Languages

Voice AI Layer ForEnterprise Applications

Build real-time voice experiences in Indian languages, across cloud and edge.

Divya · English

Female · Indian English

Edge AI

AI, closer to the user

  • Faster experiences

    Run speech processing directly on supported devices to reduce network round trips and deliver faster responses.

  • Privacy by design

    Keep speech data on-device when processing locally, reducing the need to transmit audio to remote servers.

  • Works with no network

    Enable speech experiences in low-connectivity environments once the required models are downloaded to a supported device.

  • Built for edge devices

    Run compact speech models on supported devices, with deployment options suited to your product requirements.

DEPLOYMENT OPTIONS

One platform. Three deployment models.

Flexible deployment
  • On-device

    Speech models run on the device, offline where supported.

    Voice stays on the phone

  • Hybrid

    Local speech processing, plus the cloud when you need it.

    One short hop, text only

  • Cloud

    Hosted speech models, served through APIs.

    Full round trip, audio included

12 languages on-device.22 through cloud APIs. Choose the deployment model and language coverage that fit your product.

From on-device processing to cloud APIs, choose the right fit for your product.

Solutions

Voice AI for real-world business challenges

Live Translation

Bolo

Real-time language translation

Help people communicate across language barriers with real-time, two-way translation for face-to-face conversations and supported calling workflows.

Conversational AI

Hello

AI-powered voice agents

Automate customer interactions with voice AI agents that answer enquiries, collect information, and respond in a natural, brand-aligned voice.

Enterprise AI

Puchho

AI-powered knowledge search

Help support, sales, and operations teams find answers across company documents and knowledge sources, with deployment options suited to enterprise requirements.

Deployment

Your voice AI, wherever your data lives

  1. Cloud

    Ready to integrate

    Managed speech APIs, ready to use.

    Shabd cloud

  2. Private Cloud

    Dedicated cloud environment

    Isolated deployment in your VPC.

    Your cloud

  3. On-Premises

    Your infrastructure, your control

    Run on your own servers.

    Your data centre

  4. On-Device

    Offline, on the device

    Compact models. No GPU needed.

    Stays on device

  • Same models everywhere
  • One API
  • Switch without rewriting code

Let's build a solution for multilingual India together