India is taking a major step toward building homegrown AI for critical sectors. Chennai-based VibeStudio has introduced a new AI coding model designed specifically for secure, on-premise environments. The model targets industries that handle sensitive data, including banking, healthcare, and government operations.
Unlike typical AI models that run in the cloud, VibeStudio’s solution can operate offline in network-isolated setups. This approach gives enterprises a private, controlled environment for AI-assisted coding, reducing risks of data leaks or reliance on foreign systems.
The model is built using VibeStudio’s own pruning method called THRIFT, which reduces the size of large AI models without compromising performance. For example, VibeStudio’s optimized MiniMax-M2 model shrank from 250 billion to 192 billion parameters. This makes it faster, more efficient, and suitable for real-world enterprise deployment.
VibeStudio has already partnered with companies like IppoPay, a UPI and fintech service provider, and GUVI, a technology learning platform backed by HCL. Both organizations are implementing AI to automate coding tasks securely, showing that India’s private AI solutions can meet enterprise needs today.
The launch also coincides with VibeStudio joining Intel’s AI accelerator program, preparing the model for Intel’s upcoming Panther Lake processors. This partnership is expected to optimize performance at the hardware level and support future AI deployments across Indian enterprises.
VibeStudio’s move is also remarkable for the Indian AI ecosystem. It has created an AI model that is tailored for local regulations, privacy requirements, and enterprise efficiency. As AI adoption grows across critical sectors, solutions like these could become essential for businesses and government agencies that cannot rely solely on cloud-based foreign systems.
