Shunya Labs has announced an enterprise Sovereign AI platform built for organisations that want to use voice AI while keeping data, models, and operations fully in-house.
The announcement reflects a shift in how enterprises are approaching AI adoption. While cloud platforms made it easier to experiment with voice AI, they have also raised questions around data ownership, regulatory compliance, and long-term dependence on third-party providers. For organisations handling sensitive conversations, these concerns are becoming harder to overlook.
Designed to Run Inside Enterprise Boundaries
Shunya’s platform is designed to run inside an organisation’s own infrastructure. It supports private deployments, secure internal networks, and environments with no external connectivity. The company says the system can process voice inputs in real time with latency under 100 milliseconds, while ensuring that audio and transcription data remain within the organisation’s control.
The platform is intended for sectors where voice data carries legal, financial, or operational sensitivity. Banking, healthcare, defence, contact centres, and large enterprises are among the intended users. In these industries, even limited exposure of voice data can carry compliance and reputational risks.
A notable design choice is the platform’s CPU-first architecture. By avoiding reliance on specialised GPU hardware, Shunya says it has reduced both deployment costs and infrastructure complexity. This makes the platform accessible to mid-sized organisations that require strong data governance but do not have large-scale AI infrastructure.
“Enterprises are looking for AI systems they can clearly understand and control,” said Ritu Mehrotra, co-founder and CEO of Shunya Labs. “Sovereign AI allows organisations to deploy voice intelligence without giving up ownership or visibility.”
Security and compliance have been built into the platform through encryption, isolated deployments, and governance controls designed to align with Indian and international data protection requirements.
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