At the India AI Impact Summit 2026 held in New Delhi, Indian tech firms Arinox AI and KOGO AI presented what they call India’s very first sovereign AI product – CommandCORE, which is a portable, private, standalone, “AI-in-a-box” solution. CommandCORE offers very high-quality calculations, storage of artificial intelligence software, and maintenance of artificial intelligence applications, but without the need to depend upon anything on a public cloud or be dependent upon constant internet connectivity, thus eliminating ongoing issues regarding data privacy, safety, and the ability to fully maintain sovereign control over your intelligence assets.
What does CommandCORE provide?
CommandCORE is an independent AI system designed as a “box” that combines hardware and software into a convenient and ready-to use package. It operates on a high-performance computer environment using an NVIDIA-based platform and has over 500 customer developed and standardized enterprise-based work flow connectors. The entire operating system is designed so the CommandCORE does not need to be connected to the Internet.
As opposed to utilizing a cloud-based server for processing data when using traditional forms of AI, all of the data analysis and processing that a business or organization using CommandCORE performs will be completed at the edge of the user’s local network, essentially allowing each user to only use what is necessary in the completion of their own businesses, with no requirement to share or allow another user/service provider to access or utilize their data.
Why Sovereign, Local AI Matters?
During the summit, startup executives expressing their views on the crucial role AI sovereignty plays in the future of technology highlighted how all organisations should be developing and maintaining their own AI systems, versus outsourcing them through public clouds.
Raj K Gopalakrishnan, CEO and Co-Founder of KOGO AI, stated that providing critical and/or proprietary data to global cloud platforms comes with significant risk to your organisation — as it will not only expose your organisation’s operational intelligence, but it will also give possible control of your organisation to a third party. Companies who deploy their AI systems using CommandCORE will retain their autonomy over both data and decision-making.
In secure and authoritative industries (financial services, defense, government and healthcare) the capability to retain both data and decision-making will be critical for organisations seeking to comply with security regulations and mitigate risks.
How It Works: Configurations and Capabilities
Amazon Web Services (AWS) offers CommandCORE systems in three different configurations:
- Edge level systems using NVIDIA’s Jetson Orin for lightweight deployments.
- On-premises systems using NVIDIA’s DGX/Star hardware (for midlevel enterprise use).
- Data center level systems using NVIDIA’s RTX Pro 6000 Blackwell GPU (for heavy data analysis).
All three types of systems are suitable for AI systems and will allow organisations to execute AI algorithms with a model that has anywhere from 1B+ parameters (routine automation and batch processing) all the way up to over 30B parameters (advanced machine learning).
Companies can join together with multiple units of the system to grow today’s systems into larger clusters which allow for the orchestration of an entire company workflow on one system. The price of an initial system configuration starts at approximately 10,00,000 rupees (₹ 1 million).
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Benefits of Using this System- Enterprise Cost and Security
The primary reason for using local, offline AI is to reduce cost. Startups indicated to me that there will be costs associated with continuously transferring data from the cloud, i.e. there are costs for data transfer and compute (processing) when dealing with very large amounts of data every day (i.e. Electric Vehicle network, Digital Infrastructure Services).
By processing before transferring, CommandCORE will substantially reduce the amount of information being sent between the two environments, potentially saving large amounts of money operationally over time.
In addition, running AI models behind a company’s firewall protects against data leakage and third-party vulnerabilities, which has been identified by security analysts as a tremendous concern for enterprises who want to adopt AI.
Broader Context: India’s AI Ecosystem Push
The reveal of CommandCORE coincides with the wider push for technology at the India AI Impact Summit; new hardware, AI models and national AI Research Program for all with a new shared computing infrastructure across universities are just some of the things the government announced.
According to experts there is an increasing focus on India’s AI vision being based on National Sovereignty, National Security, and the promotion of innovation through self reliance in sectors that require high levels of data sensitivity and regulation. The introduction of this indigenous AI Package is an example of that strategic intent.
What’s Next?
Starting in April 2026, Arinox AI and KOGO will begin shipping CommandCORE units while continually developing software and hardware configurations as per their many different use cases; they also want to develop a substantial amount of sovereign AI infrastructure both domestically and internationally.
With many businesses and governments around the world trying to balance the benefits of AI and privacy/control, CommandCORE will serve as a new on-premises model for artificial intelligence prioritising data sovereignty without losing computing power and workflow intelligence.
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