Building Voice AI Agents for India with Sarvam and Vision Agents

AI technologies are being deployed globally, yet many models are US-centric, relying on English-heavy data and external infrastructures, which poses challenges for regions like India. Sovereign AI addresses these challenges by ensuring AI systems operate on locally controlled infrastructure, using models that understand regional languages and nuances. Sarvam AI exemplifies sovereign AI by offering a comprehensive platform for India that includes large language models (LLM), speech-to-text (STT), and text-to-speech (TTS) capabilities, all optimized for Indian languages and accents, ensuring performance parity with global standards. The integration of Sarvam with Vision Agents, an open-source framework, enables the creation of multilingual voice agents that can perform in languages such as Hindi, with flexibility in using different components of the Sarvam stack. This setup supports full infrastructure control, ensuring data sovereignty, and can be deployed using familiar tools like Docker and Kubernetes, making it particularly suitable for regions where language and data control are critical.