- Enterprises in India and global: Needing multilingual AI and speech technologies across languages and cultural contexts.
- Government & public sector: With needs for sovereign AI, local language support, and scalable infrastructure.
- Healthcare, Education & Agriculture sectors: Where multilingual access and voice interaction matter.
- Developers of voice-first and language-centric applications: Who need APIs for real-time speech and multilingual modelling.
- Research & AI labs: Working on inclusive AI, low-resource languages and ethical model development.
How to Use It?
- Access APIs & Models: Use Soket’s real-time speech API or foundational model endpoints for your application
- Choose Language Support: Select from supported Indic languages, English and others being added.
- Integrate Into Systems: Embed speech, translation or conversational capabilities into products.
- Fine-Tune and Localise: Work with Soket to customise for your domain, locality, or language variant.
- Deploy & Monitor: Deploy in on-premises or cloud settings, track usage, and optimise for performance and compliance.
- Multilingual Indigenous Models: Building foundational AI with 120 billion parameters optimised for language diversity in India.
- Real-Time Speech & Voice APIs: Allows voice interaction across languages for enterprise use-cases.
- Ethical and Inclusive AI Focus: Aligned to cultural context, low-resource languages and national AI ambitions.
- Sovereign AI Vision: Aiming for independent AI infrastructure and models not dependent on foreign technology.
- Strong focus on multilingual and inclusive AI capabilities, especially for Indic languages.
- Ambitious scale (foundation model + speech API) with enterprise ambitions.
- Supports voice and real-time interaction rather than just text.
- Alignment with national AI initiatives and research ecosystem.
- Flexibility for enterprise use-cases across language and domain boundaries.
- Many models are still under development; full commercial maturity may take time.
- Customisation for enterprise may require deep domain work and engineering.
- Emerging startup: possibly fewer resources compared to global incumbents.
- Access conditions, pricing, and SLA details may not yet be widely established.
- Performance and ecosystem in real world large deployments may still evolve.
Custom
Custom Pricing.
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
No — while Indian languages are a core focus, the architecture is designed for multilingual global deployment.
Yes — they offer real-time voice/speech APIs for integration into applications.
Some models like Pragna-1B are open-source or planned to be; others may have commercial licensing.
Yes — the company positions itself for sectors like defence, healthcare, education and governance.
Yes — their roadmap indicates expanding language support and cultural contexts.
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Editorial Note
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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