Tech

Peter Sarlin’s Qutwo has been valued at $380m in an angel round

After selling Silo AI to AMD for $665m, the Helsinki entrepreneur is doing it again. Qutwo’s Angel calls for a layer of quantum-classical orchestration that hasn’t yet been shipped with quantum hardware, and customers are already paying tens of millions for it.


There is some kind of first European story that shouldn’t happen at this pace. Qutwo, a Helsinki-based quantum-classical orchestration company that emerged from stealth in February, has closed an angel round valued at around $380m.

This company has been out of business for almost three months. It does not have quantum hardware for sale. The product it sells, Qutwo OS, is a software layer that allows enterprise customers to start running workloads in a hybrid classical/quantum-inspired environment now, with the assumption that some of those workloads will migrate to true quantum hardware later, when the hardware is ready.

On those facts alone, $380m for an angel round is an impressive number. The reason the round is raised at all, and at this price, is the inventor.

Sarlin’s record

💜 for EU tech

The latest talk from the EU tech scene, a story from our genius founder Boris, and some incredible AI art. It’s free, every week, in your inbox. Register now!

Peter Sarlin enters Qutwo with the single record of being the strongest AI developer in Europe. He founded Silo AI in Helsinki in 2017, then sold it to AMD in 2024 in a $665m deal that AMD described as Europe’s largest AI lab acquisition. The deal was announced in July and completed on August 12, 2024.

Silo AI was not a guess lab. It had corporate clients including Allianz, Philips, Rolls-Royce, and Unilever, and built open source models for multiple languages ​​before AMD bought the group to strengthen its AI software stack.
That’s important because Qutwo is undervalued as a traditional startup and as a second act led by a founder. Sarlin is already built and spun off from a European AI company. His next bet is an orchestration layer between classical AI and quantum computing.

What does Qutwo do?

Qutwo’s pitch is not that quantum computing is ready today. That businesses need to prepare their AI and ML workloads for a time when quantum hardware becomes commercially viable.

The company is developing Qutwo OS, an orchestration layer designed to sit between existing business systems and future quantum-compute environments. The software is intended to partition, route, and scale workloads, using classical and quantum-inspired hybrid computing now, and connecting to actual quantum hardware once it’s running.

That’s a strategic bet: the value may not only reside in the hardware, but in the layer that determines which workloads go there.
Qutwo also doesn’t wait for the hardware market to mature before selling. It is already working with Zalando on AI “lifestyle agents” and OP Pohjola on quantum-AI research for financial services use cases such as risk analysis, portfolio optimization, and fraud detection. Sifted reported that Qutwo has €20m of future contracts signed early on.

Qutwo has now raised a 25 million euro angel round at a valuation of 325 million euros, or about $380m. For a company only months without a trick, that’s unusual. It also says something about the structure Sarlin wants.

Many startups at this stage can raise institutional seed or series A. Qutwo chose an angel round instead, perhaps because it retains more founder control and brings in a select group of strategic backers without adopting the governance structure of a typical VC-led round.

For a founder coming off a $665m exit, with a family office behind him, that structure makes sense. The cycle gives Qutwo a social value tag without forcing it into a traditional early business model.

European context

The round comes at a time when European quantum and AI funding is getting worse. Qutwo is not trying to build quantum hardware itself. It puts together a layer of software that can make that hardware useful for businesses.
That puts it in line with European hardware companies rather than a direct competitor.

The broader European story is also important: a Helsinki-based founder, European business clients, family office incubation, and a thesis that reduces dependence on US AI and computing infrastructure.

For European deeptech, this is a very interesting signal. The release of Silo AI did not immediately return the money. It spawned an innovator who is now repurposing loyalty, money, and commercial know-how into a big tech bet.

The first risk is hardware dependency. The full value of Qutwo’s strategy depends on quantum computing hardware being useful for real business workloads. If that takes longer than expected, Qutwo is still a hybrid classical and quantum-inspired software company, still important, but smaller than the valuation suggests.

The second risk is competition. AWS Braket, Azure Quantum, Google Quantum AI, and professional players like Classiq, Strangeworks, and Q-CTRL all revolve around the orchestration layer. Qutwo’s primary advantage is its founder team and customer traction, but hyperscalers have distribution.

The third danger is speed. Silo AI was developed years ago. Qutwo goes from start-up to major contracts to the tune of $380m in months. The company must now grow rapidly without losing the operational discipline that made Sarlin’s first company work.

Qutwo is one of the most unique European deeptech cycles of 2026 so far. The valuation is high, but the concept is clear: Sarlin has the founder’s trust, Qutwo has the first business need, and the company is attacking the strategic layer between today’s AI systems and tomorrow’s quantum hardware.

The bottom line is not that quantum computing has arrived. Never. The point is that Sarlin is betting that a quantum-AI revolutionary operating system can be built before the revolution itself is complete.

If that bet is correct, Qutwo’s $380m angel valuation may look less like a lofty figure and more like the first institutional price tag for a new European computer company. If it’s wrong, the company still has a hybrid-AI layer that is useful for trading, but not a place that defines the category where the price is set.

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button