Qinara

Meet Qinara.

At Qinara, we enhance the accuracy and efficiency of AI models through a hybrid approach that combines classical hardware with quantum optimisation. Our solutions drive breakthroughs across various domains like AI, biomedicine, cybersecurity, and finance. By seamlessly integrating quantum optimisation with existing systems, we’re pushing the boundaries of performance and cost-efficiency, bringing the future of quantum technology to industries that matter most.

Quinara logo

The Team

Swapnil Deshmukh (CEO)

Satwik Dalvi (CTO) 

Rahat Santosh (COO) 

About Us

Swapnil Deshmukh (CEO) - 12 Years of Experience in Microsoft R&D as a Principle Programmer and Research Associate in Quantum Computing. D2 Scholarship for American Football at The University of Nebraska and The University of Alabama and I also play Violin (Indian Classical Music).
 
Satwik Dalvi (CTO) - A Machine Learning Engineer with experience at two YC-backed startups and a co-founder of Qinara, which blends quantum computing with AI. When I’m not coding or building models, you’ll probably find me experimenting in the kitchen or diving into a good book!
 
Rahat Santosh: Passionate about AI, with experience across both academic and professional settings. My primary focus is on reinforcement learning, developed through internships at CAIR, DRDO, and industry experience at Oracle. I have worked with diverse teams, contributing to advancements in AI research across a wide range of domains. Outside of my technical work, I enjoy playing the keyboard, have a growing collection of coins and currency, and enjoy exploring my love for cooking.

Problem

At Qinara, we tackle the problem of low AI model accuracy, which leads to critical errors with real-world impacts, such as wrongful arrests and life-threatening incidents. Despite significant investments, current AI models remain prone to costly inaccuracies and environmental inefficiencies. Our hybrid solution combines classical hardware with quantum optimisation to improve accuracy, reduce computational costs, and drive sustainable innovation across industries like AI, biomedicine, cybersecurity, and finance.

Solution

Qinara provides an innovative solution to improve AI accuracy and efficiency by leveraging a hybrid approach that integrates classical hardware with quantum optimisation. Our technology enhances AI model performance by up to 40% while reducing computational costs by 70%. By addressing the limitations of current AI systems, we drive impactful advancements in key sectors such as biomedicine, cybersecurity, and finance. CirQ, our quantum circuit optimiser, offers unmatched flexibility, cost-efficiency, and superior integration, outperforming major competitors and empowering businesses to harness the full potential of quantum technology.

Market

The potential market for Qinara's solution is vast, targeting both the growing AI and quantum computing sectors. With AI adoption expanding across industries like healthcare, finance, and cybersecurity, there is a pressing need for enhanced model accuracy and efficiency. Our hybrid approach caters to these demands, offering cost-effective solutions with superior performance. CirQ, our quantum circuit optimiser, taps into a £1 billion beachhead in AI market and the broader £65 billion projected quantum computing market by 2030 and since we work in multi-disciplinary domains it gives us $1.6 trillion in Total Addressable Market. This positions us at the forefront of a rapidly expanding space, ready to drive significant impact and growth.

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