Build the data layer
Physical AI learns from
Join the team building operational data and callable intelligence for Physical AI, across robots, real tasks, data systems, models, product, and field operations.
This is more than joining a robotics company.help build the data foundation robots learn from.
From demos to real tasks
Physical AI will not scale on recordings alone.
It needs people who can build operational data systems.
Robots are moving from demonstrations into real work.
The hard part is turning observation into data assets that models can train, evaluate, and improve on.
Join ArcheBase if you want to help build that layer from the ground up.
Work where data touches the physical world
Build at the point where real tasks, hardware, models, and data systems meet.
Build systems that survive real tasks
Turn messy robot episodes into data assets models can train and evaluate on.
Shape the data foundation for Physical AI
Define the systems, models, and standards that turn physical experience into reusable intelligence.
We build the system that turns raw robot episodes into operational data assets.
What We Are Building
Real Task Interface, Physical AI DBMS, the Physical Causal Model, operational data assets, and Data APIs work as one product system.
02/03
Physical Data Compiler
Combine task-native data systems and physical causal models to compile evidence into operational data.
02/03
Physical Data Compiler
Combine task-native data systems and physical causal models to compile evidence into operational data.
Our Culture
These principles shape how we build long-cycle infrastructure with evidence, ownership, and trust.
We value people who challenge assumptions, act from real evidence, and turn repeated work into lasting systems.
01
Renew from Within
We challenge our own assumptions in good times, adapt quickly in uncertainty, and make evolution a working instinct.
02
Act on Evidence
We make judgments from real evidence and support every delivery with data people can trust.
03
Build for the Long Term
We are building foundational infrastructure for Physical AI and defining the operational data assets it will rely on.
04
Own the Outcome
Everyone carries clear responsibility, pushes for the best possible result, and keeps refining the details.
05
Build as One Team
We work with trust and openness, because the team's combined judgment is stronger than any individual effort.
Two profiles we pursue:
01
Deep specialists who can raise the standard in hardware, data, AI, product, design, or operations.
02
Cross-boundary builders who can connect real-world tasks, technical systems, customers, and teams.
Two profiles we pursue:
01
Deep specialists who can raise the standard in hardware, data, AI, product, design, or operations.
02
Cross-boundary builders who can connect real-world tasks, technical systems, customers, and teams.
We look for long-term builders who can turn physical-world complexity into systems, standards, and reusable data assets.
If you believe operational data will define Physical AI,
come build it with us.
We welcome builders from engineering, AI, product, design, operations, task-network development, and research who want to shape the operational data layer for Physical AI.