Nuro logo

Nuro

StartupDrivingMountain View, CA, United StatesFounded 2016

Develops the Nuro Driver autonomy system and licenses it to automakers and mobility partners, describing a hybrid end-to-end foundation model behind it.

Overview

Nuro is an autonomous driving company founded in 2016 and headquartered in Mountain View, California, led by co-founders and co-CEOs Jiajun Zhu and Dave Ferguson. It develops the Nuro Driver and in 2025 shifted from delivery robots toward licensing its autonomy technology. It has described the LAMBDA language reasoning model and a hybrid end-to-end foundation model behind its Universal Autonomy Platform, and announced a robotaxi service with Uber and Lucid planned for Houston in 2027.

Sources: nuro.ai (19 Oct 2026) · techcrunch.com (9 Apr 2025) · nuro.ai (21 Apr 2026) · nuro.ai (19 Oct 2026)

Type
Startup
Headquarters
Mountain View, CA, United Statesnuro.ai, 19 Oct 2026
Founded
2016nuro.ai, 19 Oct 2026
Website
nuro.ai

Key people

  • Jiajun ZhuCo-founder and Co-CEOnuro.ai, 19 Oct 2026
  • Dave FergusonCo-founder and Co-CEOnuro.ai, 19 Oct 2026
  • Jack GuoVP of Engineering, AI Platformnuro.ai, 19 Oct 2026

Funding history

Private company · $203M disclosed in USD across 2 of 2 listed rounds

Funding rounds for Nuro
DateRoundAmountLeadSource
9 Apr 2025Series E (first tranche)Valuation: $6B$106Mn/atechcrunch.com, 9 Apr 2025
21 Aug 2025Series E (extension)Valuation: $6B post-money$97M (Series E total $203M)n/atechcrunch.com, 21 Aug 2025

Ranking

#73 of 104 model companies · score 11.4 / 100 · updated 19 Oct 2026

  • Published benchmarks 35%0%
  • Open weights 20%0%
  • Adoption 20%0%
  • Released models 15%40%
  • Disclosed funding 10%54%

Each bar shows an input from 0 to 100% before weighting. 0 of 2 listed models have open weights.

How we rank model companies

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.

InputWeightHow it is measured
Published benchmarks35%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 weights20%Share of the company's listed models whose weights the public can download.
Adoption20%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 models15%Number of publicly announced, named models, capped at 5.
Disclosed funding10%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.

Submit or correct data →

Closed or unreleased-weights models (2)

Nuro logo

Universal Autonomy Model

Closed weightsPolicy

Hybrid end-to-end AI foundation model that Nuro describes as powering its Universal Autonomy Platform.

Released
21 Apr 2026
Parameters
n/a
License
Proprietary
Embodiments
car
GitHub stars
n/a
HF downloads (all time)
n/a

No benchmark results on a shared public benchmark have been published for this model.

Nuro logo

LAMBDA

Closed weightsEmbodied reasoning

Multimodal language reasoning model in the Nuro Driver that infers road-user intent, reasons about the vehicle's response and explains driving decisions.

Released
16 May 2024
Parameters
n/a
License
Proprietary
Embodiments
car
GitHub stars
n/a
HF downloads (all time)
n/a

No benchmark results on a shared public benchmark have been published for this model.