Research that keeps pace
with decisions

Purpose-built AI systems that give healthcare research teams the speed to meet deadlines and the rigor to meet scrutiny.

Explore Solutions Our Approach

I've spent 20+ years as an engineer and HEOR practitioner — building models, preparing HTA submissions, and watching evidence generation slow to a crawl. AIdeSolutions was built to change that.

Baris Deniz Founder, AIdeSolutions · 20+ years in HEOR across industry & consulting
The Challenge

The gap between evidence and decisions

Evidence generation—developing, organizing, and curating data—has become so time-consuming that the mechanics of producing it often overshadow its original purpose: supporting decisions.

Stakeholders need insights to act immediately. Research teams need time to ensure rigor. These conflicting timelines and clashing priorities create one of the most persistent tensions in healthcare research.

We exist to close that gap.

Our hybrid research systems apply AI to scale time-consuming tasks while keeping human experts in control—delivering evidence-based insights when you need them, without sacrificing scientific rigor.

Bridging the gap between evidence and decisions

Three Ways to Work With Us

AI Strategy Consulting & Training

We help leadership and research teams build a clear AI roadmap, identify high-value opportunities, and embed AI into your workflows through hands-on training and structured integration support.

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Solution Accelerators

Ready-to-deploy applications built on proven architecture. Start with a robust foundation, customize for your specific workflows, and go live fast. Designed for HEOR, Market Access, and Medical Affairs teams.

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Custom-Built Solutions

When your challenge requires something that doesn't exist yet. We build purpose-built systems from the ground up, tailored to your data environment, your workflows, and your quality requirements.

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Featured Platform

Agentic Health Economic Model Developer | HEORACLE

The AI-enabled Health Economics Modeling Platform. HEORACLE orchestrates the entire modeling lifecycle, from concept design to final dissemination.

  • Concept Design: Fuses strategy and literature to build the model concept.
  • Model Specification: Converts concepts into validated, methodological specs.
  • Coding: AI intelligently transforms specifications into dual-track R/Shiny & Excel models.
  • Automated Reporting: Drafts comprehensive technical reports with interpretation.
See How It Works
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