Customer challenges
1
Deploying and tuning AI in a live clinical environment is high-risk and disruptive; it's hard to plan coverage or train for rare events without disturbing care.
Customer benefits
De-risked, faster rollout; optimized coverage; flow and evacuation scenarios tested virtually; models trained on synthetic edge cases without patient data.
Key features
Virtual hospital replica
A virtual replica of the hospital.
Patient-flow & capacity simulation
Simulates patient flow and capacity across departments.
Emergency & evacuation scenarios
Simulates emergency and evacuation scenarios.
Camera & AI coverage planning
Plans camera placement and AI coverage before deployment.
Synthetic data generation
Generates synthetic training data from simulated scenes.
Sim-to-Real validation
Validates models in simulation before applying them to live feeds.
Before & after
| Before | After — with Linker AI Nexa |
|---|---|
| Before Trial-and-error placement and tuning in a live clinical setting; rare events under-represented in training data. | After — with Linker AI Nexa Coverage, patient flow, and AI validated in simulation first, with synthetic data filling the gaps. |