Experience Edge
Real-time Voice Translation
Saaras + Mayura + Bulbulమీకు ఎలా ఉంది?
On Device · One pass · Processing...
One partner. Every layer
Models, silicon optimisation, and deployment in one place. No separate vendor for each layer.
Sovereign Models
ASR, translation, and synthesis. One stack, built entirely by Sarvam, under 1GB. No external dependencies.
Smart Runtime
Routes each inference call to the right chip automatically. Models update over the air. Enterprise policy controls define what runs and where.
Per-Chipset Variants
Pre-validated model variants for Qualcomm, NVIDIA, Intel, and Apple Silicon. Each one re-validates on every update.
India Cloud Fallback
When device capacity is reached, inference overflows to Sarvam's India-hosted cloud. Data never leaves Indian infrastructure.
The On-Device Edge
On-device AI is not a technical trade-off. It changes the economics, the risk profile, and the experience for end users.
Zero cloud bills
No per-call charges. Once deployed, every query runs at zero marginal cost regardless of how much it is used.
The economics shift entirely once the models are on the device.
Sovereign and private
Audio never leaves the device. No data, no model weights, and no queries ever leave Indian infrastructure.
Full audit trail with hardware-level attestation. DPDP-ready by design.
Instant. Works anywhere
Responses in under 80ms with no network call. Works fully offline on factory floors, in moving vehicles, and in areas with no signal.
Same accuracy and latency, connected or not. Tested on every supported chipset.
Deploy anywhere
Speech, translation, synthesis. The full stack fits under 1GB. One integration covers phones, cars, wearables, and AI PCs. No per-chipset rework, no storage trade-off.
Saaras 294MB · Mayura 334MB · Bulbul 60MB. No storage trade-offs.
Built into the next generation of devices
The companies building the next generation of devices have chosen Sarvam.
First Indic language AI on Meta Ray-Ban glasses, running natively without a phone or cloud.
Voice AI for navigation, climate, and vehicle controls in 22+ Indian languages, fully on the vehicle's hardware.
Full stack AI validated for Snapdragon's Hexagon NPU across phones and Windows laptops.
See it in action with Bosch
Built for high-volume use cases
Production-ready AI for the sectors that serve millions.
Education
On-Device Learning
Voice tutoring in any Indian language. Real-time translation and exam prep, no internet required.
Productivity
Enterprise Voice AI
Voice dictation, meeting transcription, and hands-free workflow control in 22+ Indian languages. No audio leaves the device.
Customer Support
Multilingual Voice Agents
Voice agents for banks, hospitals, and government counters. Natural conversation under 200ms.
Accuracy that holds up, on the device
Measured against the leading cloud-based competitor across ten Indic languages. No network call. No compromise on accuracy.
Vistaar Benchmark: Character Error Rate (CER)
Sarvam Indic Speech Bench · Lower is better · Competitor Odia score not published
Sarvam Ecosystem
Powering the Sarvam ecosystem
Sarvam Edge App
Sarvam for Dictation
Voice AI across every app, in any Indian language. Runs on-device with no audio sent to the cloud.
- AI dictation in 22+ Indian languages
- Works across Notion, Slack, meetings, and browsers
- Adapts to your vocabulary over time
- All audio stays on the device
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Prime Minister of India testing Sarvam Kaze glasses at the AI India Summit.
Sarvam Edge on device
Sarvam Kaze. Built on Edge
AI glasses powered entirely by Sarvam Edge. The full Indic speech stack runs on the device itself, with no phone and no cloud required.
Your questions, answered.
Deploy Sarvam Edge at scale
Deploy Sarvam Edge
at scale