Tech Mahindra and University College London to Jointly Research GenAI and Quantum Computing
Tech Mahindra has partnered with University College London to co-develop generative AI and quantum computing solutions, including world models and vertical large language models.
- 200th year
- 149,000+
- 50,000+
What Happened
Tech Mahindra, a global technology consulting company, has announced a collaboration with University College London (UCL) to advance joint research and solution development in generative AI and quantum computing. The agreement was signed at the India AI Impact Summit in Delhi this week. The partnership will focus on next-generation solutions, including world models, domain-specific small language models, quantum machine learning, quantum security, and industry-specific AI use cases.
Tech Mahindra will contribute its expertise in large-scale AI model development and enterprise solution engineering, while UCL brings its leading knowledge in artificial intelligence and quantum technologies. Together, the organizations will explore opportunities in healthcare, telecommunications, advanced manufacturing, and business services. The collaboration aims to build verticalized large language models and world models that can be deployed across enterprises in the UK and scaled globally. The work will be driven by Tech Mahindra's Makers Lab innovation engine, with joint research teams composed of UCL academics, research fellows, and students working alongside Tech Mahindra subject matter experts.
- World models
- Domain-specific Small Language Models (SLMs)
- Quantum machine learning
- Quantum security
- Industry-specific AI use cases
- Verticalized Large Language Models (LLMs)
“As enterprises accelerate their adoption of advanced AI and quantum technologies, building scalable, trustworthy, and industry-specific AI systems remains a significant challenge. Our collaboration with University College London brings together academic excellence and real-world engineering expertise to address the gap. By enabling the co-creation of world models and vertical LLMs, the collaborati”
The collaboration model is expected to be replicated across Europe, with both organizations also exploring the possibility of a dedicated joint research lab. As part of the partnership, UCL students will have the opportunity to undertake internships in advanced research areas such as vertical LLMs, world models, and quantum machine learning. The program is designed to strengthen the UK's skilled technology workforce, with room to expand to additional interns and research scholars as the partnership evolves.
“As UCL marks its 200th year of discovery and innovation, this new partnership with Tech Mahindra marks a major milestone in our global engagement. By bringing together UCL's strengths in AI and quantum technologies with Tech Mahindra's deep industry expertise, we are creating a powerful platform to accelerate innovation and deliver real-world impact. This collaboration not only strengthens our res”
Previously from Mahindra & Mahindra
Tech Mahindra has been deepening its AI focus through external partnerships. In July 2026, it partnered with Cisco to deliver an AI-driven Security Service Edge offering, and reported a 53.3% year-on-year EBIT jump to ₹2,264 crores with deal wins of $1,078 million, up 33%.
- Tech Mahindra and Cisco Partner for AI-Driven Security Service Edge for Global Enterprises
- Tech Mahindra Q1 FY27 EBIT soars 53.3% YoY to ₹2,264 crores; deal wins at $1,078 Mn, up 33%
Background drawn from MotorClaw's earlier coverage of Mahindra & Mahindra's official releases.
Why this matters
This collaboration brings together academic research and enterprise engineering to build AI systems tailored for specific industries. It matters because businesses in healthcare, telecommunications, manufacturing and services could gain industry-specific AI tools, while UCL students get research internships that may strengthen the UK's tech workforce. The deal also supports Tech Mahindra's expansion in the UK and Europe.
Terms in This Story
- Large Language Models (LLMs)
- AI models trained on massive amounts of text data to generate and understand human language.
- Small Language Models (SLMs)
- Compact language models designed for specific domains or tasks, requiring less computational power than full-scale LLMs.
- World models
- AI systems that learn to simulate or predict environments, enabling planning and decision-making.
- Quantum machine learning
- The use of quantum computing to run or improve machine learning algorithms.
Summarised from the linked release; details can be imperfect — always verify against the original source.