Mango Medical is an AI agent-based medical solution that fully automates orthopedic surgical planning based on patients' computed tomography (CT) scans and X-ray data. Headquartered in Freising, Germany, and founded by Adrian Kilian and Jorge Padilla Perez, this innovative healthcare startup officially launched its solution in the market through the Y Combinator W26 batch in March 2026. The platform connects all processes, from complex medical image analysis to 3D reconstruction and automatic detection of anatomical landmarks, culminating in patient-specific surgical simulations, into a single, seamless end-to-end pipeline. Traditional orthopedic surgical planning has been inefficient, requiring highly skilled teams of clinical engineers to manually analyze patient medical images and design bone models and implant sizes over several days. To revolutionize this high-cost, low-efficiency process, Mango Medical has boldly adopted foundation models and an agentic AI architecture. Just as an experienced navigation agent precisely analyzes complex road conditions and unpredictable routes to provide the optimal driving route in real-time, this system reviews the patient's skeletal data from multiple angles and calculates the optimal 3D insertion angle and stable fixation size for the implant within minutes. This solution provides significant value, particularly in orthopedic surgical fields requiring high precision, such as total joint replacement. When implant manufacturers or hospitals upload patient DICOM-format medical images via a cloud API, the system automatically reconstructs the target skeleton into a 3D mesh file and identifies reference points. Subsequently, the AI planner agent analyzes the bone's density and angle to suggest suitable implant types and paths, and pre-simulates potential surgical risks. The resulting 3D printing file (STL/3MF) for surgical guidance is directly used to create patient-specific alignment tools that clinicians can use in actual surgery.

Mango Medical is an AI agent-based medical solution that fully automates orthopedic surgical planning based on patients' computed tomography (CT scan) and X-ray data. Headquartered in Freising, Germany, this innovative healthcare startup was founded by Adrian Kilian and Jorge Padilla Perez and officially launched its solution in the market through the Y Combinator W26 batch in March 2026. The platform ranges from complex medical image analysis to 3D reconstruction and anatomical landmark identification.

Precise Mapping of Shoulder Arthroplasty Implants: Using the Mango Medical API, upload a patient's shoulder joint CT data (DICOM format), and leverage the AI agent's path generation optimization to fine-tune the three-dimensional insertion angle in 0.5-degree increments, determining and mapping the optimal implant size within 2 minutes.