Humman-in-the-loop clinical AI

Reducing radiology reporting time — without compromising clinical control

01
The structural bottleneck

Imaging volumes grow year after year, but reporting capacity does not. The result is delayed reports and increased clinical pressure.

Clinical workflows • Reporting efficiency • Structured data • Human oversight • Regulatory-ready
Built for clinical reality

Designed for real radiology workflows. Ainovis is a clinical AI platform built to operate inside real hospital environments.

We focus on the most critical and constrained part of the radiology process: reporting.

10-15 min
Tradicional time
< 1 min
with Ainovis
Our approach combines structured clinical data, human-in-the-loop design and regulation-first architecture to improve efficiency without compromising clinical responsibility.
Team

Built by clinicians and engineers

Ainovis is developed by a multidisciplinary team with deep experience in radiology, clinical workflows and regulated medical software.
Pablo Menéndez
CEO / Radiologist, PhD in medical AI and university professor
Miguel Herencia
CTO / Engineer expert in deep learning and medical image synthesis
Manuel Cerezo
CPO / AI engineer, specialist in generative models and distributed systems

See how Ainovis fits into your radiology workflow

Request a clinical demo to understand how Ainovis reduces reporting time while preserving clinical responsibility, safety and regulatory compliance.