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German technology leaders combine process intelligence and sovereign AI agent orchestration to support trusted decision-making across public sector, security, and critical infrastructure environments

Speaking with Techround, deepset CEO Milos Rusic discusses how Europe is moving quickly to address the infrastructure challenge while many enterprises are still stuck with a connectivity challenge.

Speaking with TechRadar Pro, deepset CEO Milos Rusic discusses how AI governance is fragmenting across countries and regions, leading organizations to realize that while access to AI may be global, deployment, compliance, and control are becoming increasingly local.

Mozilla's new Thunderbolt AI client and deepset's Haystack connect two critical layers of the AI stack – client experience and infrastructure orchestration – into a unified, sovereign architecture.

deepset's Jay Wilder featured in Forrester's research on minimum viable sovereignty: a pragmatic framework for enterprises navigating the intersection of AI deployment, data residency, and regulatory compliance.

Das Bundesministerium für Digitales und Staatsmodernisierung bringt autonome KI-Systeme in die öffentliche Verwaltung. 18 Pilotprojekte in 17 Kommunen sollen zeigen, wie KI-Agenten Anträge prüfen, Dokumente analysieren und Verwaltungsprozesse beschleunigen können. Die Bewerberzahl zeigt: Der Bedarf ist da.

Das Agentic AI Hub des Bundesministeriums für Digitales und Staatsmodernisierung (BMDS) ist die zentrale Schnittstelle zwischen öffentlicher Verwaltung und KI-Startups.

Milos Rusic hat einen Standard geschaffen, der Unternehmen befähigt, komplexe KI-Anwendungen einzusetzen. Trotz aller Erfolge bleibt er vorsichtig.

For product leaders, sovereign AI is neither a political stance nor merely a compliance checkbox, but a product operating model for regulated environments. As agentic AI is introduced into these ecosystems, it must be thoughtfully implemented in a way that meets the workflows where they are.

"Unlike the EU, where penalties flow from a single AI framework, in the U.S. the biggest risk isn't a single AI fine, it's stacked enforcement. Companies can face state-level penalties, federal enforcement under existing consumer and civil rights laws, and civil litigation, all tied to the same AI system," said Milos Rusic, co-founder and CEO at deepset, a company that builds tools for custom enterprise AI and natural language processing apps.

The GenAI race is shifting from model hype to applied systems that deliver business outcomes. According to Milos Rusic, the co-founder and CEO of deepset, the winning layer is AI orchestration, which connects models to company data and workflows, with evaluation, observability, and governance.

Organizations exploring generative AI often find that impressive model demos do not automatically translate into reliable results in production. What determines success is the infrastructure surrounding the model. This is the focus of deepset and its open-source framework, Haystack, which are designed to help enterprises build AI systems that actually reach deployment.