Europe’s 2026 Unicorns Change the Board: Infrastructure Becomes the Winning Play

In January 2026, at least five European-linked startups crossed the $1 billion valuation threshold—an early indicator of where venture capital is placing its biggest bets. Unlike previous waves dominated by consumer apps or isolated biotech breakthroughs, the companies achieving unicorn status this year are building horizontal infrastructure that underpins modern healthcare systems: cybersecurity, AI compute management, regulated AI deployment, compliance tooling, and workforce enablement.

These firms span Belgium, France, Germany, Ukraine, and Lithuania or include European roots despite U.S. incorporation. What unites them is not geography, but structural function—they tackle bottlenecks now constraining not just health innovation, but health operations at scale.

In a tighter funding environment, where total digital health deal activity has been relatively flat, ventures that solve foundational problems are increasingly the ones attracting later-stage capital.

Compliance as Core Healthcare Infrastructure: Osapiens

German enterprise Osapiens reached a $1.1 billion valuation after a $100 million Series C led by Decarbonization Partners (a BlackRock–Temasek venture). Its modular platform tackles sustainability reporting, regulatory compliance, and end-to-end supply chain risk management for large enterprises. The company serves more than 2,500 customers worldwide, including healthcare, manufacturing, and technical sectors, with tools that automate reporting and transparency across global value chains.

In healthcare systems and life sciences, compliance has evolved from a “back-office obligation” into an operational backbone. Complex EU frameworks such as the Corporate Sustainability Reporting Directive (CSRD), the Corporate Sustainability Due Diligence Directive (CSDDD), and upcoming AI-related requirements demand consistent data capture and reporting across jurisdictions — tasks that overwhelm manual processes. Software that centralizes data, risk scoring, and reporting formats enables organizations to meet audit-ready standards while reducing administrative burden.

Where Osapiens fits versus other players:

• Assent — A global supply chain sustainability solution focused on compliance data management and supplier engagement; its strength is depth in regulatory expertise and broad compliance coverage.
• Achilles — Offers supply chain risk management and non-financial reporting frameworks that help enterprises meet ESG obligations, with strong emphasis on supplier risk visibility.
• Regology — A regulatory intelligence and compliance platform that tracks changes in laws and maps them to internal controls, often used for audit readiness rather than comprehensive ESG risk and reporting management.

Osapiens differentiates itself through integration rather than specialization. Its platform consolidates ESG data capture, supplier risk segmentation, and regulatory reporting into a single system, automating compliance across frameworks such as CSRD and CSDDD while reducing manual effort. Built to support healthcare, medical devices, and other regulated sectors, it enables consistent compliance and operational alignment under one interface. Real-time analytics and supplier risk scoring further set it apart from consultancy-led or fragmented tools, positioning compliance as an ongoing operational function rather than a periodic reporting task.

In practical terms, this means hospitals, medtech manufacturers, and health systems can centralize their sustainability KPIs, supply chain risk assessments, and regulatory submissions in a way that enhances transparency and reduces fragmentation — an increasingly urgent priority as regulation tightens and global health data ecosystems grow more complex.

Dual-Use Technologies as Health Resilience Infrastructure: Harmattan AI

French startup Harmattan AI, founded in 2024, quickly distinguished itself in the defense tech arena with a rapid scale-up of autonomous systems, now valued at about $1.4 billion following a significant funding and strategic partnership with aerospace leader Dassault Aviation. 

The company develops autonomous unmanned aerial systems (UAS) and mission systems software for surveillance, counter-UAS, and intelligence, surveillance, and reconnaissance (ISR) applications — capabilities increasingly leveraged not only in defense but also for national resilience, disaster response, and critical infrastructure monitoring, where rapid situational awareness and logistics flexibility are essential. The UK Ministry of Defence has already awarded Harmattan a multi-million-unit program of record for UAS deployment, illustrating the company’s capacity to scale to government-level operational demand.

Harmattan’s position can be understood more clearly against a competitive set of advanced UAS and autonomy players:

• Thales Watchkeeper WK450 UAV (UK tactical ISR drone) — A long-endurance tactical surveillance platform developed with Elbit Systems, optimized for extended loiter time and battlefield reconnaissance. While proven and widely fielded, Watchkeeper’s design is platform-centric and predates the integration of modern AI autonomy stacks.
• Elbit Hermes 450 (drone system) — A widely deployed ISR and reconnaissance UAS with extensive operational hours globally, offering robust payload and sensor flexibility, but traditionally driven by human-in-the-loop control.
• Anduril Industries (U.S. autonomous defense tech) — A leading American developer of AI-enabled autonomous systems, including the Anvil counter-drone interceptor. Anduril emphasizes software abstraction and “system of systems” design, serving multiple international customers.
• Shield AI (AI‑powered UAS and autonomy) — A U.S. company focused on embedding AI into platforms like the Nova sUAS to enable autonomous mission execution for military clients.

While framed as defense tech, Harmattan’s trajectory intersects with emergent biosecurity and resilience priorities: autonomous systems for surveillance, emergency logistics, and rapid response. European governments have increasingly emphasized resilience not only for defense but also for disaster response—a category that includes major public health crises and climate-related emergencies.

This reflects a broader policy trend where capabilities initially developed for defense end up serving health infrastructure use cases when scaled across national systems.

Securing the Digital Health Stack: Aikido Security

Belgium’s Aikido Security entered unicorn territory with a $60 million Series B at a $1 billion valuation, led by DST Global and supported by PSG Equity, Singular, Notion Capital, and others.

The significance lies less in valuation than in momentum. Aikido reported five-fold revenue growth and nearly three-fold customer growth over the past year, signaling commercial traction in a security market that has grown increasingly selective.

Aikido consolidates application security across the full software development lifecycle—an approach that aligns with healthcare’s expanding digital footprint. Hospitals and digital health providers now operate dense application stacks, from electronic health records to AI-enabled clinical decision tools, each widening the attack surface.

Healthcare has become a prime cyber target. The European Commission’s Cybersecurity Action Plan for Hospitals and Healthcare Providers documents a sharp rise in incidents, with ransomware accounting for a majority of attacks and frequently disrupting clinical operations rather than just data access

By replacing fragmented point solutions with a unified platform, Aikido lowers integration costs and simplifies compliance with tightening healthcare IT security requirements. The strategy reflects a broader shift in digital health toward security as core infrastructure, not an overlay—a positioning that is increasingly resonating with regulated, resource-constrained health systems.

Rethinking AI Compute for Clinical Workloads: Cast AI

Cast AI, though headquartered in Florida, is widely recognized as Lithuania’s fifth unicorn. Its valuation surpassed $1 billion following a strategic investment from Pacific Alliance Ventures, the venture arm of Korea’s Shinsegae Group, after the company had already raised a $108 million Series C in April 2025, bringing it close to unicorn status.

At the core of Cast AI’s proposition is OMNI Compute for AI, which prioritizes running AI workloads more efficiently across constrained compute pools rather than adding GPUs. This approach is increasingly critical in healthcare and biotech, where compute scarcity—particularly for medical imaging, genomics, and real-time clinical decision support—can stall deployment. As Europe pushes for AI infrastructure sovereignty and sector-specific adoption, efficiency is emerging as the gating factor. By optimizing at the workload level, Cast AI lowers total cost of ownership, a decisive advantage for hospitals, research institutes, and AI-native biotech startups operating under budget and regulatory constraints.

Cast AI joins a small cohort of globally scaled Lithuanian tech companies, often cited alongside Vinted (consumer marketplace), Nord Security (cybersecurity), Oxylabs (web intelligence and data infrastructure), and the broader Tesonet ecosystem. Unlike earlier Lithuanian unicorns that scaled through consumer networks, security, or data services, Cast AI stands out as the country’s first unicorn rooted in core AI infrastructure economics, addressing a cross-industry bottleneck rather than a single vertical market.

In the broader landscape, Cast AI competes indirectly with cloud-native optimization and observability tools such as AWS Compute Optimizer, Google Cloud Active Assist, Spot by NetApp, Datadog, and Harness. Most of these platforms, however, are cloud-specific or DevOps-oriented, focusing on cost visibility rather than AI-heavy orchestration. Cast AI differentiates itself by operating cloud-agnostically and optimizing at the workload and GPU-utilization level, positioning it as a critical enabler for AI-intensive healthcare and life-science applications where compute efficiency determines feasibility.

Workforce Enablement and Adaptive Learning: Preply

Language learning marketplace Preply reached unicorn status at a $1.2 billion valuation following a $150 million Series D. While not a clinical company, its relevance to healthcare lies in workforce enablement. Europe continues to face persistent health worker shortages, and cross-border mobility—often constrained by language and credential barriers—has become a critical determinant of health system resilience. Preply’s AI-augmented learning platform, operating across offices in Kyiv, London, Barcelona, and New York, illustrates how adaptive up-skilling infrastructure can reduce friction in clinician onboarding and interdisciplinary collaboration.

Preply competes across a fragmented learning landscape that includes consumer platforms such as Duolingo, which excels at gamified language learning at scale but lacks enterprise and professional workflow integration; legacy providers like Rosetta Stone, which remain oriented toward individual learners; and European platforms such as Busuu, which offer limited corporate learning features but focus primarily on general language acquisition. Broader up-skilling platforms like Coursera and edX address professional education, including healthcare-adjacent content, but are not designed for real-time, adaptive language proficiency in multilingual clinical environments.

Preply differentiates itself through an AI-driven adaptive tutoring model combined with a live-tutor marketplace, allowing learning paths to be tailored to professional contexts. This enables faster progression from conversational fluency to context-specific language proficiency relevant to patient communication, clinical teamwork, and regulatory documentation—capabilities that generic language apps do not directly address.

Looking ahead, Preply is positioned to expand into domain-specific language tracks, including medical and clinical communication, and to integrate with credentialing and workforce management systems to support cross-border staffing. As telemedicine and multinational care delivery scale, platforms that bridge language, culture, and professional competence may become foundational workforce infrastructure—supporting not only mobility, but safe and patient-centered care in increasingly diverse health systems.

From Innovation Cycles to Health System Backbones

Between 2026 and 2028, Europe’s health innovation landscape will increasingly organize around infrastructure rather than novelty. Integrated cybersecurity platforms will move directly into regulated health data environments as the EU formalizes protection frameworks for hospitals and care providers. AI compute will shift from isolated cloud spending toward cooperative models that allow research hospitals and biotech labs to share constrained resources, lowering the cost of deploying imaging, genomics, and clinical decision-support systems. Compliance-first health IT stacks will consolidate as organizations seek unified platforms that embed regulatory reporting, data governance, and operational workflows under tightening EU rules. At the same time, adaptive workforce infrastructure—spanning language proficiency, credential portability, and continuous clinical education—will become central to sustaining care delivery across borders.

None of these unicorns develop drugs or medical devices. Instead, they build the operational layers that determine whether innovation can move from lab to clinic without breaking the system. In a funding environment that rewards durability over speed, investors are aligning capital with platforms that reduce friction, absorb regulatory complexity, and scale under pressure. This marks a shift from betting on individual breakthroughs to investing in systems that make healthcare resilient by design—a redefinition of value that is likely to shape Europe’s health technology market well beyond the current cycle.

Author

Bernice Lottering