Fortaegis raises $50M to root AI infrastructure security in silicon itself
The Amsterdam startup's oversubscribed Series A, led by Serendipity Capital, will fund commercial manufacturing of chips that generate encryption keys from a device's own physical properties instead of storing them.
Fortaegis, an Amsterdam-based startup founded in October 2023, has closed an oversubscribed $50 million Series A led by returning investor Serendipity Capital, with participation from TEL Venture Capital (Tokyo Electron's venture arm), TNO, Prodrive Technologies, NP-Hard Ventures, NovaCapital, Access Ventures, Coalition Capital, and individual investors including Ilyas Khan, Ian Fujiyama and historian Peter Frankopan.
The company's pitch is "Secure Compute": a full-stack architecture spanning hardware, firmware, cryptography and software that uses the unique physical variations baked into a silicon chip during manufacturing to generate encryption keys on demand, rather than storing them on the device where they can be extracted. Fortaegis says the approach is designed to be quantum-safe and says internal and customer testing showed its communications running more than 200 times faster than conventional cryptographic protocols, with the Dutch research organization TNO unable to penetrate the system in its own testing. CEO Boudewijn Wijnands framed the bet in the company's own announcement: "Security cannot remain something we add on top of digital systems -- it must become part of the foundations of compute itself."
The company, which holds 17 filed patents with 14 more in its pipeline and already has more than 25 partnerships across government and industry in Europe, the US and Asia, plans to use the funding to begin commercial manufacturing in 2027, expanding FPGA production while developing application-specific chips. Fortaegis pitches the technology across AI, defense, telecommunications and autonomous systems -- a bet that as AI workloads get distributed across more devices and data centers, the security layer underneath them becomes its own investable category rather than a feature bolted onto someone else's chip.