~/medialuna/physical-ai
> Embodied data todeployments at scale
Scale embodied data collection needed to achieve "activation energy" for RL. Deploy where the economics work Day 1.
Deployment Metrics
LIVE
Addressable Sites (US)6,000+
Environment TypeResidential-like
Human-in-the-Loop EconomicsSustainable
Last updated: Real-time
The Data Path
From teleops to autonomy
01
Embodied data → Activation energy
Collect high-quality embodied data. Real tasks, real unique environments.
02
Deployment data → Full automation
Sustainable teleops margin funds the transition. Each deployment accelerates the path to fully automated operations.
03
6,000+ US boutique opportunities
Residential-like environments. We prepare the buildings to make them Physical AI Native, ensuring smooth, scalable deployments.
What You Get
We handle hospitality
[01]
Real environments for embodied data collection
[02]
Staff trained for human-in-the-loop operations
[03]
Data pipelines ready for your stack
[04]
Economics that sustain the path to autonomy
Ready for deployment