LatticeFlow AI announced it has acquired Dublin-based AI Sonar Ltd., a wholly owned subsidiary of CloudSphere Ltd., in a deal the company unveiled during the World Economic Forum in Davos. The acquisition adds AI Sonar’s “AI discovery” capabilities—aimed at detecting “shadow AI” across enterprise environments—to LatticeFlow AI’s governance platform, which focuses on technical evaluations and evidence generation.
The Swiss deep-tech company said AI Sonar will continue operating under its existing brand name while becoming part of LatticeFlow AI’s broader product roadmap. LatticeFlow AI positioned the combination as an end-to-end approach that links AI discovery across on-premises and cloud environments with centralized governance operations delivered via SaaS, spanning generative AI, agentic systems, and traditional AI.
As part of the transaction, LatticeFlow AI said it is taking ownership of AI Sonar’s platform, intellectual property, and engineering operations. The company will also establish Dublin as its third R&D hub, alongside Zurich and Sofia, and said AI Sonar’s engineering team will continue building the enterprise-grade discovery platform while working toward deeper integration with LatticeFlow AI’s governance stack.
LatticeFlow AI also announced a leadership addition tied to the deal. CloudSphere’s former CTO, Paul Mansfield, will join LatticeFlow AI and lead the combined engineering organization, according to the company.
The company framed the acquisition as a response to the rapid expansion of AI inside enterprises, where AI systems can proliferate across vendor software, internal applications, and employee usage without a complete, continuously updated inventory. LatticeFlow AI said this lack of visibility can create governance gaps and expose security, compliance, and legal teams to risk, forcing them into reactive oversight after systems are already deployed.
By adding AI discovery, LatticeFlow AI said it aims to maintain a continuously updated catalog of AI assets and connect each discovered system to technical evaluation evidence generated through its platform. The company described discovery as a foundational layer that enables consistent lifecycle governance, risk and compliance controls, and ongoing, evidence-based assessments as AI systems change over time.
LatticeFlow AI said it will continue expanding its governance capabilities to align with enterprise security expectations and regulatory requirements. The company highlighted its work on COMPL-AI, which it describes as an EU AI Act framework for generative AI developed with ETH Zurich and INSAIT, as part of its broader effort to operationalize governance through technical rigor.
KEY QUOTE:
“AI governance cannot work without visibility. This acquisition reinforces our leadership in evidence-based AI governance by making clear that AI governance is a technical discipline, much like cybersecurity, and must be embedded directly into the technology stack, not managed through paper checklists or dashboards. With AI Sonar, we can scan both on-prem and cloud environments to discover AI systems and govern them end-to-end, securely, privately, and at scale.”
Dr. Petar Tsankov, CEO and Co-Founder, LatticeFlow AI
