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MEDICAL AI · ENTERPRISE AX

AI adoption must show results.
That is where advantage begins.

Execution proven in global medical AI, brought to your AI transformation.

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Organizations we have worked with

Medical AI advisory and collaboration

  • Massachusetts General Hospital
  • Asan Medical Center
  • Seoul National University Bundang Hospital

University AI enablement

  • Sungkyunkwan University
  • Inha University
  • Jeju National University
  • Soongsil University

Public sector training and broadcast

  • KOHI
  • EBS

Corporate AI enablement

  • Doosan Group

WHAT WE DO

Proven in hospitals. Scaled in enterprises.

01

Global Medical & Hospital AI

Rooted in deep-learning research on the early diagnosis of Alzheimer's disease, we design and build medical AI systems that run in real international collaborations.

MGH · Uganda

Uganda Psychosis Care Collaborative Platform

Massachusetts General Hospital, the largest teaching hospital of Harvard Medical School, works with Makerere University, Butabika National Referral Mental Hospital, and the Uganda Ministry of Health to build a safe delivery system for clozapine. JoLab designs and leads the medical AI and digital monitoring platform.

ClozaCare clinical thresholds screen: ANC traffic-light values for the general population and for benign ethnic neutropenia, sourced from the MGH PCRP Clozapine Care Framework
The MGH clinical framework fixed in code, with separate thresholds for benign ethnic neutropenia.
Visit uganda.mghaccess.org →
02

AI Consulting

Executive strategy advisory, AI training and capability building for companies and institutions, pilots through production systems.

AI Training & Capability Enablement

Tailored training and workshops for companies and institutions that turn your workforce into hands-on AI practitioners.

AX Strategy Advisory

An executive advisory service that defines the direction, priorities, and investment decisions of your AI transformation.

AI Pilot & System Engineering

An engineering service that builds AI for your business, from verifiable pilots to production systems.

METHODOLOGY

JoLab AX 3D Process

Diagnose, Develop, Deploy. Our three-stage methodology for AI transformation.

01Diagnose

We assess your workflows, data, and organizational readiness to define adoption priorities.

02Develop

We build AI capability into your team through tailored training and hands-on pilots.

03Deploy

We anchor AI into daily operations with governance and performance management.

1,500+

Participants trained in the last six months

236,000+

AI resources delivered through our own testbed platform

225,000+

Production requests served by our own LLM technology

No.1

Kyobo 2026 first-half bestseller, Computer

SELECTED WORK

Delivered in hospitals, universities, and international collaboration.

Public Health & Welfare2026

KOHI (Korea HRD Institute for Health & Welfare)

An AI application capability program for health and welfare professionals with the Korea Human Resource Development Institute for Health and Welfare (KOHI).

Healthcare2025

SNU Bundang Hospital

A special AI lecture for clinical staff at Seoul National University Bundang Hospital, connecting research-grade AI to daily clinical work.

Capability Program2026

Sungkyunkwan University

A three-part vibe coding master class run over three consecutive days, training 533 participants from first prompt to a deployed application.

View all engagements →

Where should your AX journey begin?

A current-state map of workflows and data, an adoption priority matrix, a phased roadmap. Proposal within two business days.

Request an AX Readiness ConsultationInquire About Education