ALL-SAFE

An AI assessment OS for surgical training, scaffolding modules through agentic automation, combining peer, expert, and automated review, with AI feedback and video tuned for low-resource settings.

AIComputer VisionHealthcareAgentsEdTech

$700Kgrand prize won

3countries deployed

Focus

Surgical training · Global health

Surgical-training modules took months to build and couldn’t scale. ALL-SAFE is an assessment OS that scaffolds modules through agentic automation, combines peer, expert, and automated review into one workflow, and applies AI feedback and computer vision to surgical-skill evaluation, with a web curriculum, low-cost simulation, and video tuned for low-connectivity settings used across Ethiopia, Cameroon, and Kenya. It won the $700K grand prize of the Intuitive Foundation’s Global Surgical Training Challenge for laparoscopic self-training.

Highlights

▹Won the $700K grand prize of the Intuitive Foundation’s Global Surgical Training Challenge
▹Laparoscopic self-training modules deployed across Ethiopia, Cameroon, and Kenya
▹Assessment OS scaffolds modules through agentic automation and unified review
▹Computer vision for surgical-skill evaluation; video tuned for low-connectivity

Built with

PythonComputer VisionLLM OrchestrationLaravelMoodleReplicate

Source in a private repo

In the press

Global Surgical Training Challenge, Grand Prize