IBM announced on October 1 that it is expanding two long-running research partnerships in India, with the Indian Institute of Technology Bombay and the Indian Institute of Science, to push forward work on agentic AI, sovereign AI and quantum computing.
The expanded collaborations, detailed in a company announcement, build on ties that date back to 2018 with IIT Bombay and 2021 with IISc.
What the partnerships cover
With IIT Bombay, IBM researchers will continue work on sovereign and Indic language model adaptation, multimodal AI, and AI infrastructure and knowledge retrieval.
The IISc collaboration covers agentic systems, AI for applications, and quantum computing algorithm development. On the quantum side, IBM and IISc researchers will explore orchestration for quantum and high-performance computing to accelerate scientific discovery through more efficient quantum-centric supercomputing workflows and next-generation quantum-HPC methods.
One specific technical thread involves approximation-tolerant classical diagonalization algorithms to improve quantum subspace iteration methods, techniques aimed at making quantum processors work more efficiently alongside conventional supercomputers rather than as isolated systems.
That approach mirrors the broader quantum roadmap race playing out across the industry, where rivals have recently pursued architectures such as the topological quantum chip built to extend qubit lifetimes.
Energy models and agentic workflows
Beyond quantum research, the IISc partnership includes a push to build lightweight forecasting tools.
The work includes creating lightweight time-series foundation models based on the IBM Granite model family for energy analytics to support forecasting, anomaly detection, load disaggregation and energy optimization, while contributing benchmark datasets to accelerate broader AI research.
The agentic AI component focuses on practical enterprise operations. Agentic AI workflows aim to improve orchestration across hybrid cloud environments, enabling more efficient management of AI applications while balancing performance, cost and operational complexity.
That kind of orchestration challenge echoes problems developer platforms are already tackling, including the multi-model task routing seen in a widely used coding tool.
Executives weigh in
IBM framed the expansion as part of a broader strategic bet on where computing is headed next.
Dr. Amith Singhee, Director of IBM Research India and CTO of IBM India and South Asia, said the next wave of computing will be shaped by advances in agentic AI, sovereign AI, and quantum computing.
IIT Bombay’s lead researcher described the academic motivation in similar terms.
Prof. Ganesh Ramakrishnan, Institute Chair Professor at the Department of Computer Science and Engineering, IIT Bombay, said the power of AI is already being demonstrated in systems that can seamlessly understand and reason across languages, modalities and domains, adding that the joint efforts with IBM Research are laying the foundation for such intelligent systems.
Why it matters
The announcement does not disclose new funding figures, project timelines or specific deployment dates for the technologies under development, according to independent reporting, which noted the release does not provide budgets, timelines or deployment commitments.
Instead, the expansion signals a continued academic pipeline for IBM’s commercial quantum and AI roadmap, feeding research on language models, energy forecasting and quantum-HPC integration back into the company’s broader push to make quantum computing useful alongside classical systems.
That goal has also driven massive infrastructure investment from rivals racing to build out AI and quantum capacity.
