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From AI in healthcare to breakthroughs in financial data, our Private Companies Showcase highlighted a clear and consistent theme: of growing demand for AI – powered solutions to support the rise of AI – empowered enterprises. This focus sparked a wide range of insights from founders, investors, and �۶���Ƶ leaders, each bringing deep and diverse experience to the table.

Christian Lesueur, Global Head of Coverage and Global Head of TMT Investment Banking, �۶���Ƶ, set the tone by highlighting the pace at which AI –��native companies are emerging and reshaping industries, a clear signal that private capital is leaning into the tech transformation story.

With signs of stabilizing interest rates and improving investor confidence, many noted that capital is now flowing more confidently into enterprise ready AI solutions, moving from experimentation to execution.

The opening panel made one thing clear: we’ve moved beyond the “let’s try ChatGPT” phase. Enterprises are now building structured AI systems, often powered by AI – agents (or AI leads) that can execute real business tasks. Brian O’Reilly, General Manager at WRITER, the end-to-end platform for building, activating, and supervising AI agents that help enterprises automate work, improve decision making, and unlock the full potential of their workforce, described this shift as moving from ad hoc tools to agentic, where agents are embedded into workflows with clear objectives and measurable outcomes.

We’re seeing a shift from experimentation to execution, –��Enterprises are fatigued��from testing; they want agents that are secure, observable, tailored to their business context and production ready

-��Brian O’Reilly, GM of International, WRITER

But while the technology is ready, many organizations are still catching up. Governance, supervision, and change management are now the biggest hurdles for implementation. Several panelists noted that many enterprises are still figuring out how to manage AI at scale, especially when it comes to data access, security, and compliance.

And in Europe the stakes are even higher. Regulatory complexity and cultural resistance are slowing adoption, but there’s growing momentum in sectors like healthcare with patient – facing tools and edge computer solutions that can operate safely within clinical environments.

Panelists explored how AI is transforming industries beyond software. In healthcare, companies like Cera, Europe’s largest HealthTech company, using technology and AI to shift healthcare services from hospital to home, delivering higher quality care at a fraction of the cost, and Oviva, who provide personalized dietetic and lifestyle coaching through a mobile app across Europe, are using AI to personalize treatment and bring care into the home in order to reduce hospitalizations.

In financial services, firms like Taxfix, Moss, and Vertice are using AI to automate tax filings, optimize spend, and streamline procurement. The message was consistent: AI is no longer a back – office tool, it’s becoming central to how companies operate, serve clients, and manage risk.

Meanwhile, in HR and learning, platforms like CoachHub and LearnWorlds are using AI to personalize coaching and training at scale. CoachHub’s AI coach “Amy” is designed to make executive – level coaching accessible to all employees, not just senior leaders.

As AI adoption accelerates, so does the need for control. Enterprises are demanding on – premises deployments, strict data governance, and clear boundaries around what tools can be used.

Margarida Garcia, COO, poolside, a startup focused on AI – assisted software development that helps developers write, understand, and maintain code more efficiently, emphasized that in high – consequence environments, like defense or finance, “security isn’t a feature, it’s the product.” Another theme that came through loud and clear, was that specificity wins. Both WRITER and Speechmatics, whose speech recognition technology understands diverse accents, dialects, and languages in real time, spoke about leaning into domain – specific models, tailored to enterprise needs. “We ensure everyone is understood, regardless of geography or background”, said Katy Wigdahl, Chief Officer, Speechmatics. The result? Better accuracy, faster adoption, and fewer surprises.