Robot makerShanghai, ChinaFounded 2024
Develops the Psi series of embodied foundation models for dexterous manipulation, plus robots and data-collection gloves.
PsiBot (上海灵初智能科技有限公司) was founded in September 2024 and develops the Psi series of embodied foundation models together with robots and teleoperation gloves. It released the Psi R0 reinforcement-learning model in December 2024 and the Psi R1 VLA model in 2025, and runs a joint lab with Peking University. In March 2026 it reported RMB 2B raised across angel and Pre-A rounds.
Sources: worldrobotconference.com (23 Jul 2026) · technode.global (29 Apr 2025) · eu.36kr.com (10 Mar 2026)
Private company
| Date | Round | Amount | Lead | Source |
|---|---|---|---|---|
| 10 Mar 2026 | Angel and Pre-A (combined) | RMB 2B | Xuhui Capital (Pre-A lead) | eu.36kr.com, 10 Mar 2026 |
| 27 Aug 2026 | Undisclosed | over $100M | n/a | psibot.ai, 27 Aug 2026 |
#90 of 104 model companies · score 6.0 / 100 · updated 19 Oct 2026
Each bar shows an input from 0 to 100% before weighting. 0 of 2 listed models have open weights.
The score (0–100) measures public, checkable evidence about a company's robot models. It does not measure private capability. A company that publishes no benchmark results and no weights can still have strong models. Every input is computed from the data on each company page, and every number there links to its source.
| Input | Weight | How it is measured |
|---|---|---|
| Published benchmarks | 35% | For each scored benchmark, the company's best result divided by the best result any company has published, averaged over the benchmarks it reports. No published results scores 0. Results come only from the model's own paper, model card or the official benchmark leaderboard. Scored: LIBERO (4-suite average success, %); SimplerEnv Google Robot, visual matching (%); SimplerEnv Google Robot, variant aggregation (%); SimplerEnv WidowX / Bridge (%); CALVIN ABC→D (average length, 0–5); RoboArena (pairwise rating). |
| Open weights | 20% | Share of the company's listed models whose weights the public can download. |
| Adoption | 20% | GitHub stars on the company's most-starred official model repository, on a log scale relative to the most-starred repository in the list. Hugging Face downloads are shown on company pages but not scored, because gated repositories report zero. |
| Released models | 15% | Number of publicly announced, named models, capped at 5. |
| Disclosed funding | 10% | The sum of the funding rounds listed on the company's profile that were disclosed in USD, on a log scale from $10M to the largest sum in the list. Rounds reported only in other currencies are listed but not converted or counted. This input applies only to private startups and robot makers. For big-tech divisions, research labs and listed companies it is n/a, and its weight is shared across the other inputs in proportion. |
Sources. arXiv papers and official model cards for benchmarks and parameters; official leaderboards (RoboArena); the GitHub and Hugging Face APIs for stars and downloads; company announcements and established press for funding. Missing values are shown as n/a, never estimated.
Updated 19 Oct 2026. Benchmark protocols differ between papers, for example in fine-tuning and number of trials, so small gaps between close scores are not meaningful.
Closed weightsVLA
Hierarchical end-to-end VLA model trained with reinforcement learning, demonstrated on long-horizon mahjong play with the PsiBot V1 robot.
No benchmark results on a shared public benchmark have been published for this model.
Closed weightsPolicy
The company's first end-to-end reinforcement-learning model, released in December 2024 according to its product manual.
No benchmark results on a shared public benchmark have been published for this model.
