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ZL

Zooly Labs

Zooly Labs provides disposable, AI-guided sensor sleeves that attach to standard surgical instruments for joint replacement procedures. This system offers real-time tracking and automated safety controls, preventing surgical errors without requiring expensive robotic capital investment. The company utilizes a per-procedure pricing model, making advanced surgical guidance accessible to facilities regardless of budget.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Poor component positioning during hip arthroplasty is a primary driver of implant failure, leading to increased dislocation rates, accelerated wear, persistent pain, and a higher incidence of revision surgeries. Current methods often rely on static imaging or subjective visual estimation, introducing variability and surgeon anxiety regarding optimal acetabular cup placement.

Solution

Zooly Labs offers an AI-driven precision guidance system designed to enhance acetabular cup placement accuracy in hip arthroplasty. The system utilizes lightweight, disposable IMU sensors to capture real-time 3D motion data, reflecting the patient's unique biomechanics. This data is processed by an AI engine that calculates optimal component positioning, providing surgeons with intuitive visual guidance via a tablet interface. The technology aims to reduce surgeon anxiety by offering objective, patient-specific recommendations, thereby improving surgical outcomes and minimizing the need for revision procedures.

Target Audience

The primary target audience includes orthopedic surgeons specializing in hip arthroplasty who seek to improve implant positioning accuracy and patient outcomes.

Features

  • Disposable Inertial Measurement Unit (IMU) sensors for real-time 3D motion capture of joint kinematics.
  • AI processing hub that analyzes sensor data to determine patient-specific optimal acetabular cup positioning.
  • Intuitive tablet-based surgeon interface displaying clear visual guidance for implant placement.
  • Dynamic guidance based on actual joint motion, contrasting with static anatomical landmark-based methods.
  • Open platform compatibility with various implant systems, preserving surgeon choice.
  • Minimal setup time, estimated at 5 minutes, for efficient operating room workflow.
  • Verification reports documenting procedure details and confirming optimal component placement.
This profile is AI-generated and may contain inaccuracies.