Building the sovereign control plane
for enterprise AI
AI is becoming part of enterprise infrastructure while the governance layer around it remains fragmented across policy, security, compliance, applications, models and cloud environments.
SoSure is building an independent governance layer designed to give enterprises visibility, accountability and an operational path toward control across increasingly distributed AI environments.
AI governance is becoming enterprise infrastructure
Enterprise AI is moving beyond experimentation into applications, workflows, decisions and operational systems.
As adoption becomes distributed, leadership needs an independent way to understand what AI exists, who owns it, what it can access and which governance requirements apply.
SoSure addresses that emerging infrastructure gap through a staged commercial model: establish visibility first, convert that baseline into recurring platform value and expand toward broader operational governance.
Raise target: €3M
Optional pro-rata capacity: €2M
Horizon: 24 months to reference engagements, platform maturity and early enterprise deployment.
Initial target environments: utilities, telecom, regulated enterprise and critical infrastructure.
Assessment: €25K–€70K
Initial platform deployment: €140K+
Enterprise expansion: €230K–€320K ARR
The governance gap grows as AI becomes embedded in enterprise operations
AI adoption increasingly happens across SaaS products, cloud platforms, APIs, internal development, models, agents and individual experimentation.
Governance processes built around periodic policy reviews cannot provide continuous visibility into this changing operational environment. That creates a structural need for a dedicated governance layer.
Enterprise AI increasingly spans applications, models, providers, platforms, teams and infrastructure.
Boards and leadership teams face growing responsibility for AI exposure without equivalent operational visibility.
Governance must move from periodic documentation toward evidence, monitoring and ongoing enterprise oversight.
The platform foundation is already taking shape
SoSure is not starting from a category thesis alone. The current foundation already brings together AI discovery, governance evidence, ownership, model and provider information and leadership-facing visibility.
Identify AI activity, models, providers and unmanaged usage across defined enterprise environments.
Connect ownership, policies, evidence and exposure to reveal governance gaps and required action.
Provide leadership, security and governance teams with role-specific visibility into enterprise AI.
Maintain structured records for intended use, ownership, risk, safeguards, policy alignment and audit evidence.
A defined enterprise entry point with recurring expansion potential
SoSure begins with a bounded Executive AI Governance Assessment rather than requiring customers to commit immediately to a large-scale platform deployment.
Once the governance baseline is established, the relationship can expand into persistent platform deployment, additional business units, integrations and broader operational governance.
A 4–6 week engagement provides a credible path into complex enterprise environments.
Convert the initial baseline into ongoing governance visibility and enterprise platform value.
Expand by business unit, geography, governance scope, integrations and operational complexity.
Capital is directed toward product maturity, enterprise proof and disciplined expansion
The strategy prioritizes proving enterprise value and strengthening the platform before accelerating international scale.
Product architecture, governance intelligence, visibility, executive views and operational platform capabilities.
Lighthouse engagements, enterprise onboarding, implementation and reference customer execution.
Continuous monitoring, orchestration and the evolution toward broader operational control.
Structured market development through enterprise relationships, partnerships and selected international expansion.
Reference environments first. International scale second.
SoSure is designed to expand from credible enterprise reference environments rather than pursue broad geographic scale before product-market evidence is established.
Establish reference engagements in regulated and infrastructure-intensive enterprise environments.
Expand into regulated European enterprises where AI governance and sovereignty requirements are increasing.
Address large-scale enterprise AI environments with significant infrastructure and governance complexity.
Expand selectively where enterprise AI scale, regulation and operational governance create a strong strategic fit.
Building governance infrastructure for the enterprise AI era
SoSure is building toward an independent enterprise governance layer positioned between rapidly expanding AI adoption and the leadership, security and operational accountability required to control it.