nexos.ai Secures €30M to Tackle the Enterprise AI Adoption Crisis

In a significant development for enterprise AI infrastructure, Lithuanian startup nexos.ai has closed a €30 million Series A round co-led by Evantic Capital, and Index Ventures, with participation from Creandum, Dig Ventures, and several prominent angel investors. The company plans to use the capital to accelerate development of its platform, designed to help large organizations adopt AI safely, efficiently, and at scale.

Founded by the same team behind cybersecurity leader Nord Security, nexos.ai is positioning itself as a new kind of enterprise layer for artificial intelligence—a control platform that manages governance, observability, and cost across the full range of AI tools in use within a company. Its goal is to close the widening gap between the promise of AI and the realities of risk, fragmentation, and escalating cost that many enterprises now face.

Tackling the “Shadow AI” Challenge

Enterprises around the world are grappling with a new phenomenon: employees using consumer AI tools to perform work tasks, often uploading confidential data to public models without oversight. This “Shadow AI” trend has become a major security concern, as sensitive corporate information can inadvertently end up in third-party training datasets. While cybersecurity teams have long focused on ransomware and external attacks, the greater threat may now come from within—well-meaning employees unknowingly exposing critical data through everyday AI use.

nexos.ai’s founders, Tomas Okmanas and Eimantas Sabaliauskas, recognized this growing risk through their experience leading Nord Security and overseeing a portfolio of technology ventures at Tesonet. They observed a common pattern across enterprises: a burst of AI enthusiasm followed by costly fragmentation, lack of integration, and loss of control. According to Okmanas, companies typically go through an early phase of excitement and experimentation before realizing that none of their tools work together, costs spiral out of control, and visibility disappears.

The company’s solution is a unified platform composed of two integrated products: an AI Workspace and an AI Gateway. The AI Workspace provides employees with a secure, web-based interface that supports collaboration with multiple large language models (LLMs), allowing side-by-side comparisons, structured prompts, and file analysis—all within strict access controls and logging systems. The AI Gateway, meanwhile, offers developers a single API endpoint for more than 200 AI models, with built-in routing, caching, retrieval-augmented generation, and private hosting options for regulated industries. Together, these components enable companies to centralize their AI operations, maintaining both agility and compliance.

A Vote of Confidence from Investors

Evantic Capital’s Matt Miller described nexos.ai’s founders as “forces of nature” who previously built Nord Security into a global success and are now taking on one of enterprise technology’s most urgent challenges. He said the company’s mission addresses a critical infrastructure gap—helping organizations harness the value of AI while maintaining control over data and compliance.

Index Ventures Partner Hannah Seal also highlighted the company’s rapid progress from concept to enterprise-ready platform. As enterprises move from pilot projects to full-scale AI deployment, they are encountering new demands for security, reliability, and governance. nexos.ai’s team, with deep expertise in building scalable and secure software, aims to become a cornerstone of this next phase.

The new funding will help expand the platform’s capabilities, including advanced routing algorithms, private model deployments, and expansion into North America and Western Europe. The company also plans to introduce educational initiatives aimed at addressing the widening enterprise AI skills gap.

Implications for the Future of Enterprise AI

nexos.ai’s emergence signals a new phase in enterprise AI—one where governance, not experimentation, defines success. Over the past two years, businesses have rushed to integrate large language models into their workflows, often through scattered pilot projects or ad hoc integrations. The result has been a paradox: while AI has proven its transformative potential, its rapid, uncoordinated adoption has also created an environment of fragmentation and risk. As AI spreads across departments—from HR and marketing to legal and finance—the need for unified oversight, visibility, and compliance becomes not just a technical requirement, but a strategic imperative.

The real story here is larger than one company or funding round. nexos.ai’s mission represents a broader movement in enterprise technology: the shift from AI enthusiasm to AI accountability. The early wave of experimentation is giving way to a demand for infrastructure that can manage, measure, and control how AI is used. In this new phase, enterprises are looking for ways to build the equivalent of a digital nervous system—one that routes AI tasks intelligently, tracks how data moves, and enforces policies automatically. This evolution mirrors the trajectory of cloud computing a decade ago, when security and cost governance transformed from afterthoughts into prerequisites for scale.

If platforms like nexos.ai succeed, they could help enterprises bridge the gap between innovation and control. Rather than stifling creativity, governance tools may actually unlock it by providing a safe framework for experimentation. Employees could harness AI confidently, knowing their work complies with privacy laws and internal policies. For developers, unified gateways and orchestration layers could make AI infrastructure as reliable as cloud APIs—predictable, measurable, and secure.

Over time, these systems could transform AI from a loosely governed experiment into a managed utility. Much like cybersecurity evolved into a dedicated operational discipline, AI oversight may become its own layer of enterprise infrastructure—complete with auditing standards, usage dashboards, and compliance certifications. This would not only reduce risks like data leakage or bias but also improve transparency around how automated systems influence decisions.

In this context, nexos.ai’s work points toward a more mature era of enterprise AI—one defined by structure, accountability, and long-term trust. The winners in this space won’t be those who deploy AI fastest, but those who deploy it wisely.