Every organisation should run AI on its own terms.

I’ve spent more than twenty years building enterprise software, most of them in Sofia, for organisations that can’t afford to get it wrong.

That work has taken me across banking, financial services, insurance and healthcare, and from core enterprise systems to computer vision and enterprise AI. I’ve led engineering organisations, owned the commercial results and taken products from first design to paying customers.

Along the way I learned where AI projects really fail, and it is rarely the model. They stall because nobody is accountable for the agent, nobody caps its cost and nobody can show what it did, so the value never reaches the P&L. In Europe there is a second problem: the data often can’t leave the building.

ELIZON solves both. Every agent sits in an organisation and project, with roles, human review, a budget and an audit log, and it runs on infrastructure you control, with any model. We sell through partners (IT services firms, telcos and sovereign clouds) because they already hold the trust of the organisations that need this most.

If you want to know whether it will work for you, start with one process and one number. That is what our pilot is for.