Milestone · Enterprise Software & IT

Vobiz.ai builds AI-first telephony infrastructure for voice agents

What they do

Vobiz.ai is an AI-first telephony infrastructure startup based in Bengaluru, India, focused on enabling scalable voice AI solutions

The company addresses the limitations of traditional telecom infrastructure, which was built for human-to-human calls, not AI-to-human conversations

Vobiz.ai provides programmable APIs, lower-latency routing, and AI-optimised media infrastructure tailored for conversational AI

Vobiz.ai is an Indian startup building an AI-first telephony infrastructure layer for companies deploying voice agents at scale.
The company focuses on the telecom infrastructure layer, which is not designed for AI-native communication systems, and aims to make AI voice calls work efficiently in the real world.
Vobiz.ai provides programmable APIs, lower-latency routing, and AI-optimised media infrastructure tailored for conversational AI.
The startup integrates with multiple AI orchestration and speech providers, including OpenAI, Gemini, ElevenLabs, and AWS Polly.
Vobiz.ai uses AI internally across parts of its telecom infrastructure stack for functions like real-time media optimisation, echo cancellation, noise suppression, and spam detection.

Traditional telecom infrastructure is built for human-to-human calls and traditional call centres, not for AI-to-human conversations.
Latency in traditional telecom infrastructure can introduce delays of 300 to 500 milliseconds, which, when combined with additional delays from AI processing, can make AI conversations feel unnatural to users.
Vobiz.ai's 'single-hop' architecture reduces telephony latency to under 80 milliseconds at P95 levels, improving the user experience for AI voice interactions.

Vobiz.ai provides a telephony infrastructure layer specifically designed for AI-native communication systems.
The company's platform helps enterprises connect AI voice agents to telecom networks more efficiently and reliably.
Vobiz.ai's technology is used in multiple layers of the voice AI stack, including speech-to-text (STT), text-to-speech (TTS), and LLM inference.
The startup's platform is used by AI voice startups and enterprises in sectors like fintech, lending, insurtech, logistics, and real estate.
Vobiz.ai's customer base includes companies such as Bolna, Sarvam AI, Razorpay, RevRag, Smallest.ai, and Navana AI.

Vobiz.ai expects enterprise adoption to overtake startup-driven demand by the end of the year as more companies move from AI experimentation into production deployments.