- Enterprises & Government Agencies: Organisations needing multilingual voice/text AI agents in Indian languages, deployed on-prem/edge/ cloud using sovereign infrastructure.
- Customer Service & Contact Centres: Companies managing high-volume voice and chat interactions in regional languages who need low-latency agents across telephony, WhatsApp, apps.
- Developers & Start-ups in India: Those building AI-powered applications that require Indian-language models, speech interfaces or localization out-of the-box.
- Global companies expanding in India: Firms requiring AI systems that understand Indian culture, languages, dialects and regulatory compliance within India.
- Edge/IoT/Embedded Systems: Businesses looking to run AI voice/text agents on-device or in remote deployments in India with minimal dependency on foreign cloud.
- Language and localisation specialists: Entities looking to serve India’s multi-lingual population with AI that handles 10+ languages, Roman-script plus vernacular, and voice/text modalities.
How to Use It?
- Engage & Demo: Contact Sarvam via their website to request a demo and map your use case, languages, channels and deployment preference (cloud/on-prem/edge).
- Choose Use Case & Channels: Select whether you need voice inbound/outbound, chat (WhatsApp, web, mobile), translation, or full-stack generative AI for Indian languages.
- Configure Agent & Models: Use Sarvam’s platform to pick or fine-tune agents, integrate your knowledge base, define instructions, choose voice/avatars, select target languages.
- Integrate Deployment: Connect the agent/API to your telephony system, WhatsApp/business API, web/mobile SDK, CRM or backend systems. Deploy on-prem, in-cloud or at edge.
- Monitor & Optimise: Track agent performance (latency, success rate, language switching, conversation analytics). Use dashboards or export data for internal monitoring.
- Sovereign AI for India: The platform emphasises “built in India, deployed in India, for India” with data control, on-prem/edge options and selected by the IndiaAI Mission as a strategic national infrastructure project.
- Multilingual & Voice-first at Scale: Agents support 11+ Indian languages, voice + text across phone, WhatsApp, apps, and can respond in sub-second latency and handle interruptions.
- Full-stack Generative Infrastructure: Beyond just agents, Sarvam develops foundational models such as Sarvam-1 (2B parameters) optimized for Indian languages, and Sarvam-M for math/programming/Indian language reasoning.
- Edge / On-device Deployment Focus: One of the model variants (“Sarvam-Edge”) is designed for compact, on-device inference enabling AI in low-connectivity or IoT settings.
- Large focus on Indian languages/dialects and voice modalities
- Strategic backing under IndiaAI Mission indicating governmental and ecosystem alignment
- Edge/deployment flexibility (cloud, on-prem, device) providing deployment options
- Full-stack offering (models + agents + channel SDKs) rather than just isolated components
- Enterprise-grade targeting, making it suitable for serious deployments rather than hobby users
- Cultural/linguistic localisation embedded into the platform rather than applied after the fact
- Still early stage relative to global mega-models: while promising, long-term maturity, ecosystem, third-party adoption may lag major incumbents
- Large-scale deployment and customisation likely require significant investment and integration effort
- Geared primarily for Indian language/vernacular markets—may have less value for English-only global use cases
- Some details on pricing, availability, open-source status remain evolving (models under IndiaAI mission may initially be closed)
Custom
Custom Pricing.
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Yes — their Conversational Agents product supports voice + text channels, multiple Indian languages, Romanised script handling, and deployment across telephony, WhatsApp and apps.
Yes — one of their model variants (Sarvam-Edge) is specifically designed for compact on-device tasks, and the platform supports on-premises, cloud or device deployment.
No — Sarvam focuses heavily on Indian languages and vernaculars, and builds models, agents and translation systems optimized for multilingual Indian context.
Enterprises, government agencies, service providers, customer-contact centres, multi-lingual communication platforms, and any deployment requiring Indian-language voice/text AI at scale.
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This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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