New Delhi, Jan. 30 -- Shunya Labs, a research-driven voice AI company, on Friday, announced the launch of its Enterprise Sovereign AI Platform. This foundational AI layer allows organisations to run high-performance AI workloads entirely within their own infrastructure.
The launch comes as enterprises increasingly reassess cloud-first AI strategies in the face of tighter regulatory scrutiny and rising concerns around data security, AI data leakage, and vendor lock-in. Regulatory frameworks such as the European Union's AI Act and India's Digital Personal Data Protection (DPDP) Act have pushed organisations-especially in regulated sectors-to seek greater control over how data is processed and where AI systems operate.
As AI shifts from experimental deployments to mission-critical infrastructure, enterprises are looking beyond black-box, third-party cloud services that require sensitive data to be transmitted and processed externally. This has driven demand for sovereign and on-premise AI models that offer greater transparency, control, and long-term reliability.
Shunya's Enterprise Sovereign AI Platform enables enterprises to deploy voice AI across private cloud, on-premises data centres, edge environments, and fully air-gapped systems. The company said the platform delivers sub-100 millisecond latency and under 3% word error rates, without any external data dependency. The architecture is designed to ensure zero data exfiltration, full jurisdictional control, and complete ownership of AI pipelines.
The platform is targeted at high-trust and regulated use cases across sectors such as healthcare, banking and financial services, defence, contact centres, and enterprise operations. According to the company, it is seeing growing interest from organisations looking to bring AI workloads in-house as part of broader compliance and data governance strategies.
A key differentiator of Shunya's platform is its CPU-first architecture, which removes dependence on GPU-heavy infrastructure. The company claims this can reduce deployment costs by up to 20 times compared to conventional AI stacks, making sovereign AI deployments viable not just for large enterprises but also for mid-sized organisations with strict privacy and cost requirements. The modular design allows enterprises to run the same AI stack across public cloud, private cloud, on-premise, edge, or air-gapped environments.
"Most enterprises today don't actually run AI-they rent it from cloud providers. That works for pilots, but it's a fragile model for core systems," said Ritu Mehrotra, co-founder and chief executive officer of Shunya Labs. "AI is becoming infrastructure, like databases or operating systems. Enterprises will eventually demand to own and control it, rather than outsource it to a black box."
Security and compliance are embedded at the infrastructure level, the company said. The platform supports TLS encryption for data in transit, AES-256 encryption at rest, customer-managed encryption keys, and isolated deployments. It is designed to align with enterprise and regulatory standards including HIPAA, SOC 2 Type II, ISO 27001, GDPR, and India's DPDP Act.
Shunya Labs earlier this year introduced Zero Codeswitch, a speech recognition foundation model designed to understand India's mixed-language conversations where Hindi, English and regional languages are blended within a single sentence. The company said the model achieved a 3.10% word error rate on the OpenASR leaderboard, a 48% improvement over the next competitor, and unlike global voice systems optimised for single-language inputs, it processes Hinglish and other multilingual speech natively without translating it into English. Built on a CPU-first architecture, Zero Codeswitch delivers sub-100 millisecond latency and can cut deployment costs by up to 20 times compared with GPU-dependent systems
With the recent launch, Shunya Labs is positioning itself not as an application-layer AI provider, but as a foundational AI infrastructure company, aiming to serve enterprises building long-term AI capabilities in an increasingly regulated and risk-conscious environment.
Published by HT Digital Content Services with permission from TechCircle.