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    IBM Research – India

    Established in 1998, IBM Research – India is a hub for science and technology innovation. With locations in Gurgaon and Bengaluru, the lab is focused on a wide array of projects across hybrid cloud, AI, climate & sustainability and quantum computing applications.

    Meet the team

    We are a team of researchers, computational scientists, engineers, and designers pioneering scientific breakthroughs to invent what’s next in computing.
    Amith Singhee
    Director, IBM Research India; CTO, IBM India / South Asia
    Praveen Jayachandran
    Senior Technical Staff Member & Senior Manager, AI and Multi-Cloud Platform, Master Inventor
    Sameep Mehta
    IBM Distinguished Engineer and Senior Manager. Data and AI Platforms. IBM Research AI
    Pratibha Moogi
    Senior Technical Staff Member & Senior Manager, Hybrid Cloud Platform & AI Accelerators
    Sachin Joshi
    Distinguished Engineer, Manager - Conversational Platforms
    View lab members

    Research Areas

    Trustworthy AI

    As enterprises aim to build better, smarter and automated ML models, teams must also consider ways to validate and manage data before building and deploying applications in the real world. Doing so ensures that the model is based on data that is trusted and built using principles that can be explained. At IBM Research – India, we are working to systematically understand the challenges enterprises face in data quality assessment to help build trust into the model before it is fed to a ML pipeline.

    Learn more about Trustworthy AI 

    AI for Code

    We’re building AI models, designing program analysis techniques, optimizing software engineering, and contributing to the field of AI for Code. We’re investigating fundamental tasks such as software understanding, source code modelling, multi-code view representation learning, as well as industrial use cases like application modernization, code translation, and question and answering.

    Learn more about AI for Code 


    Code Representation Learning

    An effort to improve the machine learning pipeline for representation learning

    Code Translation

    An effort to translate code between programming languages with AI

    Conversational AI

    We’re working on ways to model user intents using machine learning methods and rule-based dialog flow to enhance the field of conversational AI. We’re building on frameworks such as Watson Assistant, DialogFlow, and lex to help ensure deep learning models are applicable for use in enterprise settings. At IBM Research – India, we are working on various approaches that could help bring the deep learning based models closer to their use in enterprise settings.

    Learn more about Conversational AI 



    An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.

    Foundation Models for Conversation

    Reducing hallucination in conversation systems and developing models that can perform a variety of specialized tasks


    We are witnessing the emergence of highly scaled decentralized applications, like central bank digital currencies (CBDC), decentralized finance (DeFi), and non-fungible tokens (NFT) that have stringent privacy requirements and require seamless interoperability across applications. We're working on building the next generation of tools that answer the needs of these applications with privacy-preserving and interoperable digital assets.

    Learn more about Security 

    Hybrid Cloud

    A hybrid cloud environment must be reliable for organizations to adopt it at scale for mission critical needs. Critical functions span across performance, security, compliance, cost of ownership, resilience and elasticity. As businesses become increasingly agile to meet dynamic consumer and market needs, these specifications are evolving at a rapid pace. The reliability of a hybrid cloud environment must support continuous and agile modernization at all levels of the IT stack.

    Learn more about Hybrid Cloud 

    Climate and Sustainability

    To respond to the global climate emergency, we're using AI and hybrid cloud to accelerate discovery of climate mitigation solutions. We're improving carbon emission performance through optimization and capture, and preparing enterprises for the impact of climate change. Enterprises are under significant pressure from investors, consumers, and policymakers to act on climate change mitigation by disclosing their GHG emissions and committing to the reduction of emissions from their industrial activities including operations, manufacturing, logistics, and supply chains.

    Learn more about Climate and Sustainability 

    AI for Business Automation

    At IBM Research – India, we are developing new AI powered solutions for resource planning and decision optimization in the context of manufacturing and supply chain with the goal of improving process efficiencies and reducing cost. We are developing advanced analytics solutions that can prescribe set points to control operations of various assets using real-time machine data. By analyzing the business and IT operations data, process executions can be optimized by identifying automation opportunities and exploring different automation strategies that include Robotic Process Automation, and intelligent agents for automation.

    Learn more about AI for Business Automation 

    Location details


    IBM India Pvt. Ltd
    IBM Research-India
    Manyata Embassy Business Park
    8th Floor, G2
    Outer Ring Road
    Rachenahalli & Nagawara Villages
    Bengaluru, KA 560045

    A photo of printed scientific diagrams pinned to a wall.

    Join our team

    We’re always looking for people excited to make a difference. See our open positions and help us invent what’s next.