Embodied AI & robotics spotlight

Tracking high-signal robotics, autonomy, and robot-data companies—complementing pure foundation-model leaderboards

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Top robotics & embodied-AI companies

Valuation-led view of who is scaling hardware, autonomy software, or the data platforms that production robots depend on.

RankStartupLocationSectorMost Recent ValuationTotal FundingBiggest Investors
1
Figure AI logoFigure AI
Sunnyvale, CAHumanoids~$39B (illustrative)~$1.9B (illustrative)
Parkway Venture CapitalNVIDIAMicrosoftOpenAIIntel Capital
2
Skild AI logoSkild AI
San Francisco, CAGeneralist robotics software~$14B (illustrative)~$300M (illustrative)
CoatueLightspeed Venture PartnersSequoia Capital
3
Field AI logoField AI
San Francisco, CAOutdoor / heavy equipment autonomy~$2B (illustrative)~$400M (illustrative)
B CapitalLux CapitalIntel Capital
4
1X Technologies logo1X Technologies
Palo Alto, CAHumanoids & teleoperation~$1.5B (illustrative)~$250M (illustrative)
OpenAI Startup FundTiger GlobalSandwater
5
Covariant logoCovariant
Emeryville, CARobotic manipulation AI~$625M (illustrative)~$222M (illustrative)
Index VenturesRadical VenturesAmplify Partners
6
Dexterity logoDexterity
Redwood City, CAFull-stack warehouse robots~$1.4B (illustrative)~$200M (illustrative)
Lightspeed Venture PartnersKleiner PerkinsObvious Ventures
7
Agility Robotics logoAgility Robotics
Corvallis, ORLegged logistics robots~$1B (illustrative)~$180M (illustrative)
DCVCPlayground GlobalAmazon Industrial Innovation Fund
8
Sanctuary AI logoSanctuary AI
Vancouver, CanadaHuman-scale manipulation~$120M (illustrative)~$100M (illustrative)
BDC CapitalAccenture VenturesEvok Innovations
9
Apptronik logoApptronik
Austin, TXHumanoids~$350M (illustrative)~$75M (illustrative)
Capital FactoryTerexAustin VC
10
Symbotic logoSymbotic
Wilmington, MAWarehouse automation systemsPublic / strategic
WalmartSoftBank
11
Locus Robotics logoLocus Robotics
Wilmington, MAAMR fulfillment~$1B (illustrative)~$300M (illustrative)
Tiger GlobalGoldman SachsScale Venture Partners
12
Vecna Robotics logoVecna Robotics
Waltham, MAAMR + orchestration~$500M (illustrative)~$130M (illustrative)
Blackhorn VenturesTectonic VenturesHighland Capital Partners
13
OTTO Motors logoOTTO Motors
Kitchener, CanadaIndustrial AMRRockwell subsidiary
Rockwell Automation
14
Boston Dynamics logoBoston Dynamics
Waltham, MAMobile manipulation platformsHyundai portfolio
Hyundai Motor GroupSoftBank (historical)
15
Waymo logoWaymo
Mountain View, CAAutonomous mobility~$116B (illustrative)~$27B (illustrative)
AlphabetSilver LakeAndreessen Horowitz
16
Scale AI logoScale AI
San Francisco, CAData labeling for ML / robotics~$29B (illustrative)~$16B (illustrative)
Greenoaks CapitalAccelAndreessen Horowitz
17
Weights & Biases logoWeights & Biases
San Francisco, CAExperiment tracking & eval~$1B (illustrative)~$200M (illustrative)
Sequoia CapitalBenchmarkGoogle Ventures
18
Formant logoFormant
San Francisco, CAFleet observability~$250M (illustrative)~$80M (illustrative)
SignalFireLux CapitalCanaan Partners
19
Intrinsic (Alphabet) logoIntrinsic (Alphabet)
Mountain View, CARobotics software & perceptionAlphabet portfolio
Alphabet
20
ANYbotics logoANYbotics
Zürich, SwitzerlandLegged inspection robots~$200M (illustrative)~$100M (illustrative)
Walden CatalystSwisscom Ventures
21
OpenAI logoOpenAI
San Francisco, CAFoundation models → robotics partners~$500B (illustrative)~$79B (illustrative)
MicrosoftSoftBankNVIDIAThrive Capital
22
Anthropic logoAnthropic
San Francisco, CAFoundation models → tooling~$380B (illustrative)~$64B (illustrative)
AmazonGoogleSalesforce Ventures
23
NVIDIA logoNVIDIA
Santa Clara, CASim / Isaac / robotics computePublic
Public markets
24
Databricks logoDatabricks
San Francisco, CALakehouse for ML & robot logs~$134B (illustrative)~$27B (illustrative)
Andreessen HorowitzMicrosoftNEA

Recent updates

Funding, product launches, and deployment milestones across humanoids, manipulation, AMRs, and training-data infrastructure.

Embodied AI research cadence

Research

Labs and vendors publishing vision-language-action and manipulation results keep raising the bar on generalist robot policies. Operators respond by demanding synchronized real-world logs and promotion gates so those policies can be tested against their own aisles and SKUs—not just in curated demos.

Humanoids meet warehouse KPIs

Deployment

Figure, Agility, 1X, and Apptronik continue to move from staged videos to pilot cells and narrow production tasks. The bottleneck is shifting from hardware torque curves to data: repeatable episodes, sparse labels, and replay after every layout change.

Robot data platforms mature

Infrastructure

Labeling vendors, lakehouses, experiment trackers, and fleet observability tools are stitching into evaluation harnesses. Dynamic intelligence’s pitch—Ground-Log, Bench-Fabric, Fleet-Tape—is part of that wave: make the data layer as serious as the model slide deck.

About this view

We combine public valuation signals with robotics-specific context:

  • Most Recent Valuation: The latest private valuation from funding rounds or secondary transactions
  • Valuation Date: The year when the most recent valuation was established
  • Total Funding: Cumulative amount raised across all funding rounds
  • Biggest Investors: Major investors who have participated in the startup's funding rounds

Figures are illustrative composites for product storytelling; always verify against primary sources before investment or partnership decisions.

Frequently Asked Questions

Foundation-model dollars fund the brains; robotics dollars fund the bodies and the data. This page keeps both in view so teams remember that scaling generalist policies still needs floor-ready data and verification partners.
Hardware reliability, sim fidelity, manipulation diversity, fleet software, and governed multimodal data. Missing any one shows up as silent regressions once you leave curated benchmarks.
We build Ground-Log, Fleet-Tape, and Bench-Fabric—the capture, replay, and promotion layer—not the headline VLA weights. We integrate with OEM stacks and research checkpoints alike.
Use it as a landscape map: who can supply arms, AMRs, teleop data, or evaluation harnesses. Pair vendors deliberately; the winning stack is rarely a single SKU.
Repeatable task hours in messy environments, time-to-recover after incidents, data freshness, and percentage of promotions blocked by automated gates.
No. High-mix arms, mobile manipulators, and even specialized cells often ship first. Humanoids attract capital, but logistics ROI still lives in narrower form factors today.
Robotics moves quarterly; we annotate major funding or product beats as they hit the wire.
Reach out via the waitlist with anonymized throughput, safety stats, and which policies you run—we highlight partners pushing grounded embodied AI, not slide decks alone.