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Illustration of artificial intelligence systems connected to quantum computing hardware, symbolizing Qutwo’s mission to bridge the two fields

Silo AI’s Peter Sarlin Launches Qutwo to Fuse AI and Quantum

6 February 2026 Technology No Comments2 Mins Read
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Peter Sarlin’s New Bet: Qutwo Between AI and Quantum

Peter Sarlin, co-founder and CEO of Nordic powerhouse Silo AI, has unveiled a new venture called Qutwo, positioned at the intersection of advanced artificial intelligence and emerging quantum computing. While details remain limited, the project is designed to explore how today’s production-ready AI can be enhanced, accelerated or fundamentally rethought using quantum-era capabilities.

Bridging Two Transformative Technologies

Qutwo is framed as a bridge between mature, industry-grade AI systems and still-nascent quantum hardware. Rather than waiting for fully fault-tolerant quantum machines, the venture is expected to focus on near-term, hybrid approaches where classical AI models work alongside quantum-inspired or quantum-assisted components.

Industry observers expect the company to explore areas such as quantum-enhanced optimisation, more efficient machine learning workflows and new forms of simulation that could benefit sectors like finance, logistics, and materials science. By combining practical AI deployment experience with cutting-edge quantum research, Qutwo aims to shorten the time between scientific breakthroughs and real-world products.

Leveraging Silo AI’s Ecosystem

Backed by the reputation of Silo AI as one of Europe’s largest private AI labs, Peter Sarlin is expected to use his existing network of enterprise clients, researchers and partners to position Qutwo as a trusted collaborator. The new venture is likely to work closely with universities, quantum hardware makers and cloud providers that already offer early-stage quantum services.

For enterprises, the key promise is pragmatic: helping them understand when and how to prepare for quantum acceleration of their AI workloads, without overhyping timelines. That includes assessing which use cases are realistically addressable by today’s quantum simulators and noisy intermediate-scale quantum (NISQ) devices, and where classical AI algorithms remain superior.

What We Know So Far

Public information on Qutwo is still sparse, and the company has not yet disclosed funding details, specific products or a commercial launch date. However, the move signals a broader trend in the European tech ecosystem: experienced AI founders are beginning to stake out territory in the coming convergence of AI and quantum computing.

As more data emerges about Qutwo’s research agenda, partnerships and pilot projects, the venture is likely to become a bellwether for how quickly this convergence can deliver tangible value beyond the lab.

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