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Figure builds its 1,000th Figure 03 humanoid as output scales

Figure builds its 1,000th Figure 03 humanoid as output scales

Figure says its BotQ plant has manufactured its 1,000th Figure 03 humanoid. The milestone was reached on July 23, 2026, and the company marked it by unveiling a special gold-finished unit. It signals that the US maker is moving out of the prototype phase and into serial production.

Key takeaways

  • The 1,000th Figure 03 came off the BotQ line on July 23, 2026.
  • Production pace: one robot per hour, already hit in late April 2026 at over 350 units.
  • BotQ's target output: 50,000 humanoids per year.
  • Figure 03 costs 90% less to build than Figure 02, thanks to die-casting and injection molding.
  • For contrast: China's AGIBOT built its 15,000th robot in June 2026, and Unitree shipped over 5,500 humanoids in 2025.

The thousandth humanoid rolls off the line

Figure, the California startup led by Brett Adcock, announced the achievement on social media.

Proud to share BotQ has manufactured our 1,000th humanoid robot for F.03 — congrats to the team!

Brett Adcock — CEO, Figure.

The gold unit, likened visually to Star Wars' C-3PO, is meant to underline the symbolic weight of the threshold.

The pace to a thousand matters more than the number itself. In late April 2026 BotQ had built over 350 robots and hit a throughput of one humanoid per hour. Pushing that to a thousand in the following weeks shows the line was not a one-off demo but runs continuously.

Engineered for mass production

Figure 03 was designed for the assembly line, not the lab. It relies on Die-casting: Forcing molten metal into a mold under high pressure. A fast, low-cost way to mass-produce identical parts, common in the auto industry. and injection molding — high-volume processes borrowed from automotive and consumer electronics that favor scale at a low per-unit cost.

The result, the company says, is a 90% cut in build cost versus the previous generation, Figure 02.

That is a real gap from most humanoids, which are still assembled by hand in short runs. BotQ is meant to reach output of around 50,000 humanoids a year — a level that would move Figure from prototype maker to industrial supplier.

West versus China

A thousand units is impressive for Western robotics, but on a global scale it places Figure well behind its Chinese rivals. Shanghai-based AGIBOT announced its 15,000th robot back in June 2026, and Unitree Robotics reported shipping more than 5,500 humanoids alone in 2025. The volume gap is several times over.

The comparison is not one to one, though. Chinese makers count cheaper education and research platforms in their totals, while Figure 03 is a general-purpose robot aimed at industry. The first units are going to sites such as BMW Group's Spartanburg plant, where they will handle complex assembly-logistics sequencing.

Why it matters

The bottleneck in the humanoid industry today is not AI — it is manufacturing. Companies can show a robot doing a task in a demo, but turning that into hundreds of identical, cheap, repeatable units is a different engineering problem. The thousandth Figure 03 is evidence that at least one Western maker is building real production capacity, not just staging one-off showcases.

Scale also feeds the AI directly. Every working robot generates real-world data used to train control policies. The more units in the field, the faster the loop of data collection and model improvement. Production volume thus becomes an advantage that is not only commercial but technical — whoever has more robots at work trains the next generations faster.

What's next

  • Figure targets output of 50,000 humanoids a year at BotQ — the next volume thresholds will show whether the one-robot-per-hour pace can hold and multiply.
  • Industrial deployments, including at BMW's Spartanburg plant, will provide the first hard data on Figure 03 reliability off the production line.
  • Pressure from Chinese makers (AGIBOT, Unitree) with far higher volumes will test whether the West's quality edge can hold against an edge in scale.

Sources

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