Bengaluru, September 29, 2026: IBM and Yotta Data Services have announced the general availability of a new Sovereign Agentic AI Platform designed specifically for Indian organisations, marking another major development in the country's rapidly expanding artificial intelligence infrastructure ecosystem.
The platform combines IBM's enterprise artificial intelligence technology with Yotta's India-based sovereign cloud infrastructure. It is designed to allow businesses to deploy, operate and manage AI agents while keeping critical data, AI inference and governance controls within India.
The announcement comes as companies increasingly move beyond experimenting with AI chatbots and basic automation toward AI agents capable of carrying out multi-step tasks across enterprise systems.
What Is a Sovereign AI Platform?
Sovereign AI refers to artificial intelligence infrastructure and services designed to give organisations greater control over where their data, computing resources, models and AI operations are located.
For businesses operating in regulated industries, data residency and governance can be important considerations when deploying AI systems.
The IBM-Yotta platform is designed around this requirement. Instead of relying entirely on infrastructure located outside India, organisations can use Yotta's sovereign cloud environment for computing, GPU resources, networking and other infrastructure required to run enterprise AI workloads.
This approach can be particularly relevant for organisations that need to maintain strict controls over sensitive corporate information.
IBM Watsonx Orchestrate Provides the AI Agent Control Layer
At the centre of the platform is IBM watsonx Orchestrate, which acts as the control and management layer for enterprise AI agents.
The technology is designed to help organisations deploy and manage AI agents across business workflows while providing governance and security controls.
AI agents differ from conventional chatbots because they can be designed to perform sequences of tasks rather than simply respond to individual questions.
For example, an enterprise AI agent could potentially receive a business request, retrieve information from authorised systems, process the information and then complete an approved workflow.
Managing such systems requires additional controls because AI agents may interact with business applications and enterprise data.
Yotta Provides the Infrastructure Behind the Platform
Yotta's Shakti Cloud provides the underlying infrastructure for the new platform.
The cloud environment includes computing resources, GPU infrastructure, networking, security and operational capabilities required for enterprise AI workloads.
Yotta also operates Shakti Studio, which allows organisations to explore, fine-tune, deploy and run both open-source and proprietary AI models.
This creates an integrated environment in which businesses can develop AI applications and operate them using infrastructure hosted within India.
AI Agents Can Be Used Across Multiple Business Functions
IBM and Yotta say the platform can support a wide range of enterprise workflows.
Potential applications include security operations, document processing and human resources automation.
For businesses, the attraction of agentic AI is the possibility of automating complex workflows rather than simply generating text or answering questions.
For example, an AI agent could assist with processing large volumes of business documents, help employees locate information across authorised systems or support repetitive administrative processes.
The exact capabilities available to an organisation will depend on how the platform is configured and which enterprise systems it is permitted to access.
Data and Governance Remain in India
One of the most important features of the new platform is its focus on data residency and operational control.
IBM and Yotta say the platform is designed to keep data, operations and governance controls within India.
The companies say this can help organisations address requirements associated with security, compliance and digital sovereignty while adopting advanced AI technologies.
The issue has become increasingly important as businesses move AI systems from experimental projects into production environments.
Companies are not only asking what an AI model can do. They also need to consider where information is processed, who controls the infrastructure and how AI activity can be monitored.
Available Through Two Indian Cloud Regions
The platform is available through Yotta's cloud regions in Panvel and Greater Noida.
These locations provide the infrastructure required to support enterprise AI workloads while maintaining the India-based architecture of the service.
Yotta has been expanding its AI infrastructure capabilities in India, including GPU computing and sovereign cloud services.
The company says its Shakti Cloud is designed to provide enterprises with AI services, GPU resources and infrastructure for developing and deploying artificial intelligence applications.
IBM and Yotta Previously Announced the Partnership
The launch follows an earlier announcement made by IBM and Yotta in May 2026.
At that time, the companies announced plans to build an agentic AI platform using IBM watsonx Orchestrate on Yotta's Shakti Cloud.
The companies have now moved from the announced partnership to general availability of the platform.
The development illustrates how quickly enterprise AI infrastructure is evolving from experimental projects into commercially available systems.
Why Enterprise AI Is Moving Toward Agents
Traditional enterprise software often requires employees to manually move information between different applications and complete repetitive processes.
AI agents are being developed to automate parts of these workflows by connecting language models with business tools, databases and software systems.
However, enterprise deployment also requires strong controls around permissions, security, monitoring and governance.
This is where platforms such as the IBM-Yotta system are attempting to combine AI capabilities with enterprise management infrastructure.
India's Growing AI Infrastructure Market
The IBM-Yotta announcement comes as India is rapidly expanding its artificial intelligence computing infrastructure.
Demand for GPUs, data centres, cloud platforms and AI development environments has increased as Indian businesses and institutions explore generative AI and agentic AI.
Companies are also increasingly looking for AI infrastructure that can address local data and compliance requirements.
This has created an emerging market for sovereign cloud and AI infrastructure providers that can offer advanced computing while keeping critical workloads within national boundaries.
What This Could Mean for Indian Businesses
The availability of a sovereign agentic AI platform could make it easier for Indian organisations to experiment with and deploy AI agents without building every part of the infrastructure themselves.
Businesses can potentially use the platform for internal automation, document workflows, security operations, employee services and other enterprise applications.
At the same time, organisations will still need to establish their own rules for AI access, data handling, human oversight and security.
The technology itself does not remove the need for responsible deployment. Enterprise customers will determine which systems their AI agents can access and which actions they are authorised to perform.
The Next Phase of India's AI Development
The IBM and Yotta platform reflects a broader transition in the artificial intelligence industry.
The first major wave of enterprise AI focused heavily on chatbots, content generation and productivity assistants. The next phase is increasingly focused on AI agents capable of interacting with business systems and performing multi-step workflows.
That transition requires more than powerful AI models. It requires secure cloud infrastructure, GPUs, networking, governance systems and mechanisms for monitoring AI activity.
By combining IBM's enterprise AI technology with Yotta's India-based infrastructure, the two companies are targeting this growing demand for controlled and locally hosted AI deployment.
Conclusion
IBM and Yotta's Sovereign Agentic AI Platform represents another significant step in the development of India's enterprise AI ecosystem.
The platform brings together AI-agent management, GPU computing, cloud infrastructure, model development and governance within an India-based environment.
As more businesses move from AI experiments to production deployments, questions surrounding data residency, security and operational control are likely to become increasingly important.
The IBM-Yotta launch shows that India's AI market is expanding beyond individual AI applications and toward the infrastructure needed to operate AI agents at enterprise scale.
Journalist: Vijay Singh