About Novarra AI
Independent technology judgment when the decision matters.
Novarra AI provides senior technology judgment for private capital — both for investment decisions and for the businesses that capital owns.
Why Novarra exists
Technology is useful only when it improves the business or investment decision.
Novarra brings senior, independent technology judgment into situations where architecture, cyber, AI, data, product, vendors or technology leadership can materially affect value, risk and execution.
How the firm works
Senior, independent and evidence-led.
The operating model is designed for sensitive decisions, not for maximising implementation scope.
Independent judgment
The diagnosis comes first. Recommendations are not dependent on selling a software platform or large implementation programme.
Senior involvement
Material situations are reviewed at senior level, with specialist expertise added only where the evidence requires it.
Evidence-led work
Findings distinguish verified facts, source-reported claims, analytical inference and unresolved uncertainty.
Commercial relevance
Technology findings are translated into consequences for growth, resilience, cost, execution, investment value and board priorities.
Founder
Founder-led first review. Specialist depth when needed.
Novarra AI was founded by Eng. Yasser M. Zaidan. His operating career spans more than three decades across technology-enabled businesses and regional operations.
The detailed founder profile keeps prior operating experience clearly separated from Novarra company engagements and from specialist experience.
Public identity
Legal and brand relationship
Novarra AI is the commercial brand. Zaidan GROUP OÜ, registry code 17303561, is the legal entity operating the brand.
Registered office: Tartu mnt 67/1-13b, 10115 Tallinn, Estonia.
Evidence discipline
Public claims should withstand the same scrutiny as client work.
Novarra separates company track record, founder operating experience, specialist experience and third-party research rather than blending them into one undifferentiated proof claim.