Size up the humanoid robotics race
TinySet builds a dataset of humanoid robotics companies and their stage. TinyResearch separates real progress from hype.
TinySet
Dataset · 115 rowsHumanoid robotics companies, with funding, robot name and stage
| Company name | Robot name | Funding amount (USD) | Funding stage |
|---|---|---|---|
| 1X Technologies | NEO | Series B | |
| Addverb | Elixis | Corporate (Reliance-owned) | |
| AEI Robot | Alice | 9700000 | Series A |
| AgiBot | A2 / X2 | 86000000 | Pre-IPO |
| Agile Robots | Agile ONE | 250000000 | Series C |
| Agility Robotics | Digit | Series C | |
| AI² Robotics | AlphaBot | 144000000 | Series B |
| AKINROBOTICS | AKINCI-5 |
TinyResearch
ReportWhich humanoid robotics companies are genuinely ahead, and which are mostly hype?
The humanoid robotics industry is real, growing, and substantially overhyped—simultaneously. Approximately 13,000–19,000 humanoid robots shipped globally in 2025–H1 2026, but roughly 85–90% were Chinese-made, predominantly delivered to universities, research labs, and state-owned enterprises rather than productive factory floors. Among Western companies, only Agility Robotics has demonstrated the broadest verifiable record of repeated, paid commercial deployment with named customers. Figure AI completed a meaningful industrial pilot at BMW but carries a $39 billion valuation on effectively zero audited revenue. Boston Dynamics Atlas is entering production but all 2026 output is committed internally. Tesla Optimus remains an internal R&D program with serially missed targets and no external sales. UBTECH and AgiBot lead in production volume but most use cases are not industrial-productivity deployments. Physical Intelligence (π) is a pure-software play—well-funded, technically credible, pre-revenue, and not yet deployed at scale. Sanctuary AI has pivoted from humanoid hardware to selling an AI software brain for existing industrial robots, an honest strategic adjustment rather than a simple failure. The field as a whole is in what Bessemer Venture Partners calls a "GPT-2.5 moment"—past the pure demo phase, short of reliable economic deployment.
