Quantum World Ventures looks to move the technology beyond the lab
The Bengaluru-based startup is developing quantum and AI applications for medical technology while building an education business and exploring longer-term opportunities in security.
Santosh Talaghatti, driven by his personal experience caring for his ailing mother with cancer, founded Quantum World Ventures (QWV). He wondered why detecting serious illnesses still depended on slow and complex processes that were difficult to access. Before QWV, Talaghatti had worked on digital transformation projects, and had also been influenced by former President A P J Abdul Kalam's approach to making complex technology accessible to ordinary people.
Instead of focusing on quantum hardware, QWV applies quantum computing, artificial intelligence (AI), and related technologies to medical technology, education, public safety, and financial technology (fintech), with healthcare being the company's immediate focus.
QWV's research includes AI-assisted medical imaging, edge AI, and quantum-assisted imaging, sensing, and hybrid quantum-classical AI models. They are currently working on a diagnostic imaging system that can be used with equipment like endoscopes, CT, and MRI systems. Their MedTech work is currently at Technology Readiness Level (TRL) 4 to 5, which means it is still some distance from being a certified medical product.
One of QWV's other projects involves developing an adaptive hearing aid that connects with a mobile phone and uses brain-computer interface (BCI) technology. The device aims to combine hearing assistance with noise reduction and links to family members' phones for monitoring and safety. However, a 2025 systematic review found no consistent evidence that quantum machine-learning methods outperform classical approaches in digital health.
Only 16 studies involving realistic quantum hardware or noisy simulations were assessed as sufficiently rigorous.
QWV believes that the commercial opportunity in India's medical-device market is largely focused on application layer software, with hardware accounting for only 10% of the estimated opportunity. The company also aims to contribute to the education sector by providing practical understanding around quantum technology and AI. They have collaborated with about 18 universities and Centres of Excellence to develop courses on quantum computing, quantum mechanics, qubits, circuit design, quantum communication, quantum machine learning, and quantum cryptography.
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