Tech, SaaS & AI: what investors and public buyers verify before signing

Technology organisations build on intangible assets: proprietary algorithms, training data, business code, teams. Yet in most transactions these assets remain poorly documented: scattered code ownership, unmapped dependencies on model providers, informal data governance. That is exactly what the investor or the public buyer seeks to verify.

The AI Act creates a new value criterion

The European AI Act imposes documentation, traceability and governance requirements for high-risk AI systems. An organisation that can demonstrate AI Act compliance to an acquirer has a defensible advantage in negotiations.

SaaS metrics are no longer enough

NRR, churn, LTV/CAC have become market standards. But sophisticated acquirers now examine the robustness of the technical architecture, data sovereignty and key person dependencies: dimensions that do not appear in founders' monthly reporting.

GovTech: sovereignty as a condition for access to public procurement

The European GovTech market imposes increasing requirements: sovereign hosting, NIS2 compliance, interoperability. For a publisher targeting public procurement, the ability to demonstrate these requirements in a documented manner has become a differentiating factor in tenders.