EAF (Embodied AI Frontier) is an intelligence hub focused on China's embodied AI industry, built by AlphaTypeE Lab. We work the way a research desk works: we start from primary disclosures, build company and product profiles, map supply chain relationships, and write analysis that can be checked.
Embodied AI is moving out of research labs and into factories, homes, and the real economy, and China is where much of that supply chain is being built. The information, though, is scattered. Company filings, government documents, prospectuses, product launches, media reports, and trade shows each tell a separate part of the story, and the supply chain relationships that decide the industry's shape often sit in a single line of a disclosure document.
Moving a headline from one feed to another is easy. Going back to the primary disclosure, checking it line by line, and turning it into a record that stays useful is slow work. That is what EAF has been doing since day one.
Deep dives are the core of our output. Each one starts from a concrete question: the trade-offs behind a technical route, how far a capacity expansion has actually gone, a change in a supply chain relationship, or the pricing logic behind a capital move. Our research concentrates on a few long-running areas: supply chain structure and division of labor, company fundamentals and output, shifts in supply relationships, capital and funding, and policy and deployment.
The database is organized by supply chain segment, from robot and humanoid makers through dexterous hands, sensors, motors, motion and transmission, compute, and embodied data. The supply chain map presents those segments as a teardown of the machine: open any segment and you see every company in it.
A company page is a profile you can open layer by layer:
The fields are connected. From one company you can follow the supply chain to its suppliers, and from there to their suppliers; you can also work backwards to see who supplies whom and at what stage. Companies on the same chain sit in the same segment, which makes the network readable both across and down.
We build these profiles ourselves. Every supply chain relationship and every financial figure is checked against the primary disclosure before it goes in, and carries its source, source grade, and reporting period. Leads scattered across public information become a network you can follow forward and trace back. That way of reading a company inside its chain is not easy to assemble from public sources.
Members can save articles and manage their reading list under My Account.
A frontier is where established boundaries start to move. In embodied AI those boundaries are moving fast: from software into the physical world, from laboratories into factories, and from prototypes toward mass production. EAF documents, analyzes, and maps this frontier.
More questions: see FAQ contact us.