How Airbot Compares

Airbot vs other robotics companies

Most humanoid-robotics companies are building hardware or training foundation models — a multi-year, capital-heavy race. Airbot takes the opposite path: a hardware-agnostic Deployment OS that configures robots you can rent and put to work today, across the San Francisco Bay Area. Here's how Airbot stacks up against the best-known names in the space.

Airbot vs Figure AI

Deployment-first vs. hardware-first

Figure AI is a vertically integrated humanoid company. They design the hardware (Figure 03), train the AI (Helix VLA model), and manufacture at scale in their BotQ facility. Their robots are deployed in automotive (BMW) and logistics, with a consumer home robot in development. Valued at $39B, they own the full stack from motor design to foundation model.

Airbot is hardware-agnostic. Instead of building robots, we deploy them — from AgiBot, Unitree, and other manufacturers. Our Deployment OS combines a VLM (Vision-Language Model), an LLM agent, and demonstration-based learning: describe your use case in natural language, show the robot a task once, and iterate by conversation. The robot arrives configured for your brand, venue, and audience. No engineering team required.

See the full comparison

Airbot vs Physical Intelligence

Deploy now vs. train from scratch

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.

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.

See the full comparison

Airbot vs 1X Technologies

Rent and deploy vs. buy and wait

1X Technologies builds NEO, a consumer humanoid robot for the home priced at $20,000 (or $499/month). NEO does household chores — folding laundry, tidying rooms, organizing shelves — and includes conversational AI with visual and audio intelligence. It targets homeowners wanting to automate domestic tasks, with U.S. delivery starting in 2026.

Airbot deploys commercial-grade robots for events, venues, and businesses — not homes. You rent a humanoid, robot dog, or dexterous hand for the days you need it, and our team handles delivery, setup, on-site operation, and teardown. The Deployment OS — a VLM (Vision-Language Model), an LLM agent, and demonstration-based learning — configures each robot to your brand and use case through conversation and demonstration.

See the full comparison

Why does Airbot compare differently?

Companies like Figure AI, Physical Intelligence, and 1X Technologies are vertically-integrated bets on owning the robot stack — proprietary hardware, foundation models, and long enterprise timelines. They're building the future of general- purpose robots.

Airbot isn't trying to win that race. Instead of building one robot, Airbot makes the robots that already exist — from AgiBot, Unitree, and other makers — deployable by anyone, for real events, this week. You describe your context, demonstrate a task once, and iterate by conversation. It ships as a rental with delivery, setup, and an on-site operator included, starting at $479/day.

Want a robot working at your event this month?

Skip the multi-year robotics roadmap — rent one from Airbot, delivered and operated across the SF Bay Area.