About | Aide Solutions

The Challenge

The gap between evidence and decisions

Evidence generation takes months. Decisions can't wait.

Research teams need time to do rigorous work. Stakeholders need insights now. The mechanics of producing evidence often overshadow the original purpose: supporting better decisions. That misalignment is where opportunities are lost.

We exist to close that gap.

We build hybrid research systems that combine three components, each applied where it adds the most value.

AI handles what requires intelligence at scale.
Deterministic code ensures reliability and reproducibility.
Human experts retain authority at every critical decision point.

This is about giving researchers leverage, not replacing them.

The gap between evidence generation and decisions

Meet the Founder

Baris Deniz, MSc (Operations Research)

CEO & Founder

Baris began his career as an engineer, trained in Operations Research, a discipline built on turning complex systems into solvable problems. That instinct for finding structural solutions to messy, high-stakes processes is what eventually drew him into health economics and outcomes research.

Over the next two decades, he worked across the full spectrum of the field: inside pharmaceutical companies and at consulting firms, with organizations ranging from small biotechs to global enterprises, across a broad range of disease areas. That breadth meant preparing dozens of reimbursement submissions to HTA agencies around the world, gaining a clear-eyed view of where the process worked and where it broke down.

The bottleneck was rarely the science. It was the time and manual effort required to turn rigorous science into the evidence packages that decisions depend on. Capable research teams were spending months on work that technology could accelerate, without compromising the rigor that regulators, payers, and patients rely on.

Aide Solutions was built at that intersection: two decades of HEOR domain expertise, combined with an engineer's approach to building systems that actually work in regulated environments. The goal is straightforward. Make high-quality evidence generation faster, so that effective new medicines reach the patients who need them sooner.

How We Build

Three non-negotiable principles

We don't apply AI everywhere. We apply it where it genuinely improves outcomes, and we protect the parts of the process where human judgment is irreplaceable.

Selective Deployment

AI is applied only where it adds real value.

Human Authority

Experts retain decision-making power at every critical point.

Full Auditability

Every AI-assisted step is traceable, transparent, and reproducible.

These aren't aspirational goals. They are how every system is architected from day one, built to meet the scrutiny of the clients, partners, and stakeholders who depend on the work.