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Physical AI · Public company · Deployment

Tesla

✓ Verified

Tesla is a major physical-AI company because it combines real-world fleet data, large-scale training, custom inference hardware, autonomy, and humanoid robotics.

Austin, USFounded 2003No public API trackedWeekday review

Editorial intelligence brief

What matters now

weekdays watch

Continued advancing its vision-and-planning stack for autonomous driving and Optimus through 2026.

Focus: Vision-based autonomous driving, humanoid robotics, AI training, and inference hardware

Latest funding

Not tracked

No structured event

Tracked funding

Not tracked

No structured events

Latest valuation

Not tracked

No source-backed record

Latest revenue

Not tracked

Deployment lifecycle position

Source-backed financial history

Capital and commercial trajectory

Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.

Research pending

A structured financial history has not been completed for Tesla.

The profile will not manufacture a trend from incomplete or unsourced figures. Each amount must be dated, typed, and linked to public evidence first.

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Chronological activity

What changed

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Continued advancing its vision-and-planning stack for autonomous driving and Optimus through 2026.

A structured event record is still being assembled for this company.

Product surface

Products and model families

Recent models

Full Self-Driving neural networksOptimus control models

Products

Full Self-Driving (Supervised)OptimusAI training infrastructure

Open weights

No

API access

No

Review cadence

Weekdays

Market position

Lifecycle and strategic signals

Research

Preview

Growth

Deployment

Deployment: Production & at scale

Focus

Vision-based autonomous driving, humanoid robotics, AI training, and inference hardware

Signals

AutonomyHumanoidsConsumer reach

Taxonomy

Frontier LabsautonomyRobotics

Competitive context

WaymoFigure AIApptronik

Infrastructure & distribution

Where Tesla sits in the AI stack

Infrastructure provider
01

Model layer

2 tracked model families

02

Access layer

Application or managed product

03

Market layer

Physical AI

Public product surface

Full Self-Driving (Supervised)OptimusAI training infrastructure

Stack signals

autonomyRoboticsAutonomyHumanoidsConsumer reach

This section reflects publicly visible product and access signals. Undisclosed GPU, cloud, training, and data-center contracts are not inferred.

Evidence trail

Sources and corrections

Primary and public sources used to verify the structured company profile.

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