Deploy now vs. train from scratch
Airbot vs Physical Intelligence
Physical Intelligence builds the brain. Airbot puts a working robot in your venue — no training pipeline required.
Airbot
Airbot skips the model training entirely. We take commercially available robots, connect them to our Deployment OS — a VLM (Vision-Language Model), an LLM agent, and demonstration-based learning — and configure them for your specific use case through conversation and demonstration. You describe what you need, show the robot once, and iterate by talking to it. No datasets, no training runs, no GPU clusters.
Physical Intelligence
Physical Intelligence (π) builds robotic foundation models — generalist AI policies (π0 through π0.7) that give robots broad physical capabilities through Vision-Language-Action training. Their open-source models enable researchers and robotics companies to build on top of a shared intelligence layer. They focus on dexterous manipulation and cross-robot generalization.
Side-by-side comparison
Choose Airbot when…
- ✓You need a robot performing at your venue, not a research project
- ✓You want to configure behavior by talking, not by training ML models
- ✓You don't have a data science team or GPU infrastructure
- ✓You need delivery, setup, and on-site operation included
Choose Physical Intelligence when…
- ✓You're building a robotics product and need a pre-trained foundation model
- ✓You have the engineering team to fine-tune and deploy VLA policies
- ✓You want to push the frontier of robotic manipulation research
- ✓You need a model that generalizes across many robot form factors
The verdict
Physical Intelligence is building the foundational AI layer that will power the next generation of robots. Airbot is deploying robots that work today. If you're a researcher or robotics company building on foundation models, π is the platform. If you need a robot greeting guests at your conference next Friday, Airbot gets it done.
Ready to deploy a robot?
Skip the wait. Airbot delivers, sets up, and operates robots at your venue — configured by conversation, not code.