Built from two sides of the same problem.
Burhaneo brings together provider-side software building and regional healthcare claims experience, with one focus: make pre-submission review clearer and more accountable.
A costly process that rarely looks like one big problem.
Leonidas Charalampidis built Attractive AI around the administrative burden that clinicians and staff encounter day after day. The work grew from firsthand exposure to medical-practice operations and a focus on practical automation rather than a generic AI layer.
Ashraf Ghaly brought a different but complementary perspective: medical insurance operations, claims processing and payer relationships across Saudi Arabia, Egypt and the wider GCC.
A missed document can become an entire chain of work.
For small and medium-sized hospitals, the operational impact is often spread across claims specialists, coding teams, clinicians and follow-up staff. The real cost is hard to see from any single claim.
We wanted to make that work visible before a claim moves forward.
Combine the expertise. Keep the decision with the provider.
The idea was not to replace staff or tell an insurer which claims to approve. It was to give hospital teams earlier visibility into evidence gaps, with a direct path back to the underlying document and a human action they can take.
Burhaneo is being built toward that goal. The software demonstration already exists; hospital-specific accuracy, security approvals and integration readiness still require validation.
Leonidas Charalampidis
Attractive AI · Product design, software strategy and commercialization
Ashraf Ghaly
Regional healthcare strategy, claims expertise and payer workflows
Three principles behind the product.
Start with evidence
Find the relevant source, reference the rule and show what remains unconfirmed.
Respect the workflow
Staff need review support that fits their existing responsibilities and approvals.
Earn trust through testing
Clinical usefulness is measured on reviewed cases, not assumed from a good demo.