Skild AI, Inc. — AI supply-chain exposure
The model reads Skild AI, Inc. primarily as a producer in Applications. Its largest modeled sensitivity is a shock at Inference serving (constraint β 10).
The structural read · model-generated
The model reads Skild AI, Inc. primarily as a producer in Applications. Its largest modeled sensitivity is a shock at Inference serving (constraint β 10).
In depth · editorial + model · written 2026-07-13
Skild AI is a private startup building a robot "foundation model" — a single general-purpose control policy trained at scale to run many different machines, rather than the hand-coded software each robot has traditionally needed. It sits at the model layer of the chain, but pointed at the physical world: the same pretrain-then-generalise recipe behind language models, applied to perception and motor control.
Its structural hook is its backer list — Amazon, SoftBank, Samsung and NVIDIA — which reads as a bet by chip, cloud and hardware incumbents that a shared "robot brain" becomes the layer everyone licenses rather than rebuilds. If that thesis holds, the value sits in the model and the data behind it, not the actuators. The model weights it modestly because robot foundation models remain unproven at commercial scale, and embodied control is a crowded, early field.
Where it's exposed
Chain footprint by layer
How it participates
Every part Skild AI, Inc. touches
Critical materials it leans on
Frequently asked
What is Skild AI, Inc.'s role in the AI supply chain?
The model reads Skild AI, Inc. primarily as a producer in Applications. Its largest modeled sensitivity is a shock at Inference serving (constraint β 10).
Which parts of the AI value chain is Skild AI, Inc. exposed to?
Skild AI, Inc. is mapped to 1 part of the AI value chain, most strongly Robotics control. It sits primarily in the Applications layer as a producer.
Does Skild AI, Inc. own an AI bottleneck?
Not in the current model — Skild AI, Inc. is exposed to constrained parts but sits downstream of them rather than producing them.
What is Skild AI, Inc.'s biggest AI supply-chain risk?
Its largest modeled sensitivity is a shock at Inference serving (constraint β 10). 5 nodes depend on it; pressure 66/100
Who are Skild AI, Inc.'s closest peers by AI-chain position?
By shared chain dependencies: Hesai Group, Aptiv PLC, Robert Bosch GmbH, Yaskawa Electric Corporation.
Go live on Skild AI, Inc.
- The interactive dependency graph and full company Nexus
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model v0.7.0 · research, not advice
Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice.