Built around enterprise governance,
operational visibility and infrastructure thinking
SoSure exists because enterprise AI adoption is moving faster than governance maturity. AI is entering workflows, applications and operational environments across the enterprise, while visibility, accountability and governance structures often remain fragmented.
The company is built around a practical conviction: enterprise AI governance will require visibility, structured evidence, executive oversight and operational accountability closer to the environments where AI is actually used.
Long-term collaboration between enterprise strategy and governance-focused engineering
SoSure is shaped by a long-standing collaboration between Daniel Conn Elfort and Thomas Knapp, combining enterprise operating perspective, infrastructure-oriented thinking and governance-focused technical architecture.
Daniel leads SoSure’s enterprise positioning, institutional narrative, commercial direction and strategic dialogue with customers, partners and investors.
His background spans enterprise technology, telecommunications, infrastructure and operating environments where visibility, accountability and execution discipline directly affect business resilience.
His role is to translate the platform’s governance capabilities into language and adoption models that enterprise leadership teams can understand, evaluate and act on.
Thomas leads the technical architecture, platform development and governance mechanics behind SoSure.
His work is centered on structured engineering, dashboard infrastructure, governance systems, operational visibility and enterprise deployment realism.
The platform foundation builds on long-term architecture thinking, governance-oriented engineering and practical experience with enterprise systems.
Built on collaboration, trust and shared execution history since 2010
SoSure is not the result of a short-term AI trend or a newly formed startup structure.
Daniel Conn Elfort and Thomas Knapp have worked together since 2010 across enterprise technology, governance-oriented systems and platform initiatives. That collaboration has created a tested foundation of trust between business strategy and technical execution.
Over many years, the collaboration has combined enterprise direction, operational understanding and deep technical architecture. This history matters because enterprise governance infrastructure requires more than ideas. It requires judgment, sequencing, discipline and the ability to translate complex systems into practical enterprise value.
SoSure is being shaped by that long-term collaboration: Daniel focusing on enterprise positioning, strategic adoption and institutional dialogue; Thomas leading the architecture, governance mechanics and technical execution behind the platform.
Governance must move closer to the operational AI environment
AI governance can no longer exist only as policy documents, isolated compliance exercises or disconnected reporting layers.
Enterprises increasingly require visibility into AI usage, operational exposure, governance maturity and accountability structures across expanding enterprise AI environments.
Governance Visibility
Enterprises cannot govern AI systems they cannot identify, classify or operationally understand.
Executive Oversight
Leadership increasingly requires operational visibility and governance evidence tied to enterprise AI adoption.
Operational Accountability
AI governance is evolving into a practical operational discipline tied to enterprise execution and risk management.
A practical governance visibility foundation
SoSure currently focuses on governance visibility, executive dashboards, model governance structures and operational assessment.
The first enterprise engagement establishes visibility, identifies exposure and creates governance evidence before broader rollout occurs.
Toward enterprise AI governance infrastructure
Over time, the platform direction expands toward broader governance orchestration, operational oversight and structured enterprise AI accountability.
The objective is not theoretical governance. The objective is operationally credible enterprise AI governance infrastructure.
European governance perspective with international enterprise orientation
SoSure operates from Copenhagen with engineering leadership in Graz and ongoing enterprise dialogue across Europe and the United States.
The company focuses on enterprise environments where governance, operational trust, visibility and accountability are becoming strategically important.
Enterprise AI governance requires visibility, accountability and operational trust
SoSure helps enterprises establish the governance visibility foundation required before AI exposure scales further across the organization.