Enterprises adopted AI faster than they could govern it.
Worldwide AI spending is projected to reach $2.53 trillion — yet 68% of enterprise employees admit to using unauthorized AI at work, and 70% of AI interactions happen inside sanctioned SaaS tools that legacy security tools can't see. Tools sprawl, spend creeps, and no one can answer a simple question: how mature is our AI, and what should we do next? evum exists to make that answerable.
Our mission
We believe responsible AI adoption is a governance problem before it is a modeling problem. Leaders need to see their whole AI estate, measure it honestly, and turn gaps into prioritized action — without standing up a data team to do it. evum brings those threads into one place, where every data point compounds: a system you log today sharpens the maturity score and the AI recommendations you get tomorrow.
We built evum for mid-market to enterprise organizations — 500 to 10,000 employees — actively spending on AI but lacking centralized visibility, governance, and compliance readiness. With EU AI Act Article 50 transparency mandates taking effect in August 2026 and regulatory pressure accelerating, the window for reactive governance is closing.
And because AI data is among the most sensitive an organization holds, we made isolation the foundation rather than an afterthought — your context, your spend, and your copilot are scoped to your organization, always.
Principles we build by
Isolation first
Tenant isolation isn't a setting — it's the architecture. Your AI data is yours, enforced where it counts.
Grounded intelligence
AI should reason about your reality, not generic best practices. Recommendations are aligned to ISO 42001 and the NIST AI RMF — and grounded in your actual data.
Clarity over complexity
Built for the executives and CoEs accountable for AI — high signal, board-ready, never a task tracker.
Built on bedrock
A focused, secure stack on Google Firebase — so the platform is dependable from day one.
Govern your AI with evum
Join the teams bringing structure and confidence to their AI programs.