Figure

Figure

Autonomous humanoid robots for industrial automation

Overview

Figure.ai builds general-purpose humanoid robots for industrial environments, enabling automation across manufacturing, logistics, warehousing, and retail. Its flagship Figure 01 is a 5'6", 60 kg electric humanoid that can carry 20 kg, run about 5 hours, and move at 1.2 m/s, operating autonomously with onboard AI. The robot mimics human dexterity and mobility to perform multiple tasks, reducing the need for multiple single-task machines; Figure.ai sells and leases robots and offers maintenance and software updates. The goal is to help large customers like BMW increase efficiency and cut labor costs by deploying versatile automation at scale through sales, leasing, and service partnerships.

About Figure

Simplify's Rating
Why Figure is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Robotics & Automation

Hardware

Industrial & Manufacturing

AI & Machine Learning

Company Size

501-1,000

Company Stage

Series C

Total Funding

$1.9B

Headquarters

San Jose, California

Founded

2022

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Simplify's Take

What believers are saying

  • BMW deployed Figure 03 in June 2026 for sequencing logistics at Spartanburg.
  • Figure delivered over 350 Figure 03 robots and raised output from one daily to hourly.
  • Index’s 44,000 weekly users keep feeding Helix with diverse real-world task data.

What critics are saying

  • Figure faced Gruendel v. Figure AI, a California labor lawsuit, in 2026.
  • The Nscale deal starts GPU delivery in second-half 2027, delaying model scaling.
  • Robotics safety whistleblower allegations threaten layoffs, litigation, and customer trust by 2027.

What makes Figure unique

  • BMW kept Figure 02 and Figure 03 in Spartanburg through 2026.
  • Figure’s Index collected 16 million chore videos across 108 countries for Helix training.
  • Nscale’s 100,000-GPU commitment made Figure a compute platform, not just a robot builder.

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Funding

Total Funding

$1.9B

Above

Industry Average

Funded Over

5 Rounds

Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Above Average

Industry standards

$50M
$50M
Medium
$62M
SeatGeek
$100M
Oura
$1B
Figure

Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

↓ -5%

1 year growth

↓ -6%

2 year growth

↓ -6%
HYPERURANIOS
Sep 29th, 2026
AI firms Modal Labs, Instinct and SiMa.ai secure $750m, $1bn and $150m rounds.

AI firms Modal Labs, Instinct and SiMa.ai secure $750m, $1bn and $150m rounds. Recent funding rounds saw Modal Labs raise $750 million, Instinct $1 billion and SiMa.ai $150 million, while robotics and biotech startups also secured sizable investments. Artificial intelligence. Modal Labs, the New York-based serverless AI inference platform founded in 2021 by Erik Bernhardsson and Akshat Bubna, is close to completing a $750 million financing led by Accel that would lift its post-money valuation to about $15.75 billion, up from $4.65 billion after its May 2026 Series C [1][6]. The round, reported at a valuation near $16 billion in other outlets, more than triples the company's worth in four months and follows revenue growth to over $300 million annualised as of May 2026 [4]. Modal's service lets developers run Python functions and AI workloads on GPUs and CPUs across multiple clouds without managing servers, counting customers such as Cognition, Suno, Ramp and Substack among its roughly 150-person workforce [1]. Edge-AI chipmaker SiMa.ai closed a $150 million Series C at a $1.45 billion post-money valuation, co-led by Fidelity Management & Research and Amplify Partners, with participation from Dell Technologies Capital, Point72, StepStone Group and several other investors [3][8]. The company, founded in 2018 by former Xilinx executive Krishna Rangasayee, reported a four-fold revenue increase from 2024 to 2025 and is now scaling its second-generation Modalix chip and the Palette Neat software environment for drones, humanoid robots and automotive applications. Funds will be used to bring a next-generation hardware design delivering 1,000 dense TOPS to market in early 2028 and to expand the open-source software stack that lets developers specify speed, power and accuracy constraints. SiMa.ai positions its pin-compatible module as a drop-in alternative to Nvidia's Jetson line, aiming to capture a share of the projected $50 trillion physical-AI market. Robotics. Feather Robotics raised $7.6 million in a pre-seed SAFE round led by Gradient Ventures, with participation from Builder Capital, Geometry, Virgo VC and London-listed SEED Innovations, whose earlier $1 million investment converts at a $60 million valuation cap [2]. The East Palo Alto startup offers a modular humanoid platform priced at $29,990, paired with an SDK that lets developers load any AI model, and has already generated over $1 million in revenue from manufacturing and food-service customers. Feather's rapid development cycle - first prototype in two months and first shipped unit in nine - aims to establish an open hardware standard for physical-intelligence robots, positioning the company against vertically integrated rivals such as Tesla and Figure AI. India-based Unbox Robotics secured $28 million in a mixed primary-secondary round led by ICICI Venture, with participation from RedStart Labs, F-Prime, 3one4 Capital, Navam Capital, Force Ventures and existing backers [5]. The funding will expand the engineering team, accelerate product development and broaden market reach in India and overseas, while part of the secondary capital provides liquidity to employees. Unbox builds modular, AI-driven mobile robots for parcel and package sorting, deploying around 500 units across Europe and preparing its first large-scale U.S. rollout with a third-party logistics provider. The company's swarm-intelligence software enables coordinated robot fleets, and it pursues additional opportunities in pharma manufacturing. Humanoid-robot specialist Figure AI, valued at $39 billion after its September 2025 Series C, reported that its robot headcount surpassed its human staff for the first time in June 2026, with roughly 740 Figure units deployed against about 660 employees [7]. The firm's flagship Figure 03, launched in October 2025, is a 5-foot-8, 135-pound biped equipped with the in-house Helix vision-language-action model and is currently used in BMW's Spartanburg plant for vehicle assembly. Figure generates revenue through a robot-as-a-service model priced around $3,200 per robot per month and bulk purchases near $89,000 per unit, though exact figures are undisclosed. Investors in the latest round include Parkway Venture Capital, Brookfield, Nvidia, Qualcomm Ventures and other strategic capital partners.

Carba
Sep 24th, 2026
Lucid's Head of Global Logistics leaves for humanoid robot maker Figure.

Lucid's Head of Global Logistics leaves for humanoid robot maker Figure. Andrew Bailey, Lucid's Head of Global Logistics, has left the EV maker to join humanoid robot developer Figure AI, he said on Thursday. "After an incredible chapter, I'm closing out my time at Lucid Motors and beginning a new one," Bailey wrote in a LinkedIn post. "Now, I'm excited to share that I've joined Figure AI as Head of Commercial Logistics," he added. Bailey worked at Lucid for over three and a half years. His Figure role started in September. Logistics organisation. Bailey joined Lucid in January 2023 as Director of Materials Management and became Head of Global Logistics in July that year, his profile shows. In that role, he led "a global logistics organization of 800+ across customs, transportation, material planning, packaging engineering, warehouse, and lineside operations," according to his profile. He was also responsible for the unit's full profit and loss and for inventory. As Director of Materials Management, Bailey oversaw material planning, flow engineering and internal logistics to "ensure zero production downtime in Lucid's build-to-order electric vehicle (EV) manufacturing environment," the profile says. He was based at Lucid's factory in Casa Grande, Arizona. The Saudi-backed carmaker currently sells two models, the Air sedan and the Gravity SUV, both built at the Casa Grande plant. A third model, the midsize Cosmos crossover, was previously scheduled to start production at Lucid's AMP-2 plant in Saudi Arabia in late 2026. "AMP-2 will be ready for production in early 2027 and ready to run midsize production in the second half of the year," Chief Executive Officer Silvio Napoli said on the company's second-quarter earnings call. "We will not repeat the mistakes of the past by bringing a product to market before it is ready," he added. Bailey said in his LinkedIn post that he is "incredibly grateful for my years at Lucid and for the opportunity to help build and scale the logistics organization through a period of tremendous growth and change." Before Lucid, Bailey spent 10 years at German automotive supplier Dräxlmaier Group, according to his profile. From November 2016 to September 2022, he was Plant Manager. There, he launched and led a plant producing interior components for luxury carmakers, with more than 400 staff across engineering, logistics, quality and production. Figure robots. At Figure, Bailey said he would "help build the logistics and deployment organization supporting one of the most ambitious technologies being developed today: humanoid robotics." Figure, founded in 2022 by Chief Executive Officer Brett Adcock, raised more than $1 billion at a $39 billion post-money valuation exactly a year ago. The company said in April it had delivered more than 350 Figure 03 robots from its BotQ factory and lifted output from one robot a day to one an hour in 120 days, according to a company update. In May, Figure signed an agreement with Catalyst Brands, owner of brands including JCPenney, Aéropostale and Brooks Brothers, to deploy humanoids starting at its distribution centre in Reno, Nevada, the company said. The Figure 03 also began work at BMW's plant in Spartanburg, South Carolina, in June, Figure said. There, the robot handles sequencing, picking parts and placing them in the correct slots for the assembly line while moving heavy carts, in the plant's assembly and logistics hall. Its predecessor, the Figure 02, loaded sheet-metal parts into a welding fixture at the same plant during an 11-month deployment that contributed to the production of more than 30,000 BMW X3s, Figure said in November 2025. Leaner Lucid. Bailey's exit comes as Lucid cuts costs and inventory under Napoli, who was named incoming CEO in April and took over on June 1. In June, Lucid said it would cut about 18% of its US workforce, with annualised savings of about $158 million, and eliminated the Chief Operating Officer role previously held by Marc Winterhoff. The departure of Winterhoff, who served as interim CEO for over a year, was exclusively reported by EV and later confirmed by Lucid in an SEC filing. "On June 22, 2026, the Company announced that Marc Winterhoff, Chief Operating Officer, has departed the Company, effective immediately following the elimination of the Chief Operating Officer position," Lucid announced. The company said it had deliberately reduced second-quarter production to 4,774 vehicles to "align output with anticipated demand, convert inventory into deliveries and cash," it said in August. Deliveries in the quarter totalled 3,953 units. Third quarter figures are expected to be released early in October. Lucid expects inventory reduction to contribute about $600 million to $800 million of the $1.4 billion in cash flow improvements it has identified for 2026. Lucid has also seen a string of senior departures since late 2023. Emad Dlala, Senior VP of Engineering and Software, left in June after nearly 11 years at the company. Cláudio Afonso founded CARBA in early 2021 and launched the news blog EV later that year.

Gulf News
Sep 18th, 2026
Video: Robot walks into 30 stranger homes - then makes beds, folds towels and cleans up.

Video: Robot walks into 30 stranger homes - then makes beds, folds towels and cleans up. Breakthrough highlights rapid embodied AI progress, but consumer robots remain distant Last updated: September 18, 2026 | 05:22 A humanoid robot enters a home it has never seen. No map. No special training. No prior data from inside the house. Then it starts making the bed, folding towels and tidying the living room. California-based robotics company Figure has unveiled Helix 2.5, a new artificial neural network (ANN) that it says allowed its humanoid robot to complete household work across 30 unfamiliar homes without collecting data in those properties or fine-tuning the system for their layouts, furniture or objects. Also In This Package A major home-robot test. Figure said the robot was tested in 30 previously unseen homes in the San Francisco Bay Area. The homes were excluded from the model's training process, and the company said it used a fixed version of the system for each task rather than adapting it from house to house. SPONSORED LINKS BY PROJECT AGORA The robot was assigned three long-horizon, whole-body household tasks: * Tidying a living room by collecting scattered objects, including toys, and putting them in a basket. * Folding towels and placing them away. * Making beds in unfamiliar bedrooms. Figure said Helix 2.5 could navigate different layouts, handle unfamiliar furniture and objects, and recover after mistakes without direct human intervention. The company described the work as "zero-shot" generalisation - meaning the robot had not been trained or adjusted using data from the homes or the specific objects used in the tests. The key breakthrough: generalisation. Robots have performed impressive demonstrations for years. But most operate in tightly controlled settings: factories with fixed workstations, warehouses with standardized shelves or carefully prepared lab environments. A real home is harder. Furniture is placed differently. Towels vary in size and material. Beds sit at different heights. Objects are cluttered, partially hidden or positioned in ways the robot did not expect. Lighting, flooring and room dimensions also change. Figure's claim matters: for a home robot to be useful, it must do more than repeat a memorised task. It must recognise a new environment, understand a verbal or visual goal, use its arms, hands and body safely, and adjust when the first attempt does not work. Figure said Helix 2.5 was pretrained using its proprietary "Index dataset" of human behaviour. In a controlled comparison, the company said pretraining raised zero-shot whole-task success to 56% from 9% for an otherwise comparable model trained from scratch, according to The AI Insider. The reported results are company figures and have not yet been independently peer-reviewed. Impressive - but not a robot maid yet. The demonstrations point to rapid progress in embodied AI: artificial intelligence that does not only generate words or images, but perceives and acts in the physical world. Still, there is a large gap between a successful test and a commercially reliable household robot. A product used daily in homes would need to work safely around children, pets, stairs, fragile items, hot appliances and unpredictable human behaviour. It would also need long battery life, low maintenance, robust privacy protections and a price that ordinary households can afford. The robot would have to complete tasks close to perfectly, not merely succeed in a majority of trial runs. The bigger race. Figure is part of an intensifying race to build humanoid robots that can work in warehouses, factories, logistics centers and, eventually, homes. Companies are betting that human-like bodies offer a practical advantage because the built world - doors, stairs, tools, kitchens and workplaces - was designed for people. For now, Figure's Helix 2.5 is a research milestone, not a consumer robot on sale at the mall. But the image is hard to ignore: a machine walking into a stranger's home and beginning to work without being shown where anything is. The long-promised household humanoid may not have arrived yet - but it is starting to look less like science fiction. Also In This Package

Data Center Dynamics
Sep 4th, 2026
Nscale signs $3.5bn compute agreement with robotics company Figure.

Nscale signs $3.5bn compute agreement with robotics company Figure. Could expand to $6bn September 04, 2026 Neocloud Nscale has signed a multi-year agreement with humanoid robotics company Figure. The agreement will see Nscale deploying up to 100,000 Nvidia Vera Rubin GPUs for Figure at its data center in Barstow, Texas. Nscale's Barstow data center is leased from Bitcoin miner Ionic Digital. It is located at 3013 FM 516, and has 234MW of capacity. Nscale is also deploying AI infrastructure for Microsoft at the site. The contract with Figure has an initial value of $3.5 billion, with the intent to scale to more than $6 billion over time. Nscale will become a shareholder in Figure with a "strategic investment," and will be Figure's preferred compute provider. Figure will use Nscale's compute to train its AI model, Helix. "We're excited to partner with Figure as physical intelligence becomes AI's next frontier," said Josh Payne, CEO and founder of Nscale. "We've seen incredible growth with inference and agentic AI, and Figure is pushing the boundaries of AI even further. We're proud to be enabling the future of AI robotics together." "Humanoid robots extend physical AI into the world designed for people - opening a major new industry," added Jensen Huang, founder and CEO of Nvidia. "Nscale and Figure have activated the robotics flywheel: training Figure's models on Nvidia Vera Rubin through Nscale's AI cloud, validating them in Nvidia Isaac Sim, and deploying them on Nvidia GPUs in Figure's robots. This is the physical AI flywheel that will accelerate the path from models to robots in the world." Figure is developing autonomous general-purpose humanoid robots, with the aim of achieving human-level intelligence to enable the robots to perform a variety of tasks in the industrial and home markets. Nscale is nearing an initial public offering in the US, from which it is reportedly aiming to raise $3bn. More in cloud & hyperscale.

PYMNTS
Sep 3rd, 2026
Nscale inks $3.5 billion deal with robotics firm Figure.

Nscale inks $3.5 billion deal with robotics firm Figure. By PYMNTS | September 3, 2026 Artificial intelligence cloud company Nscale has signed a major, multi-year agreement with humanoid robotics developer Figure. This deal will see Nscale provide computing resources for Figure and commit at least $3.5 billion - and up to $6 billion - to power the development of Figure's AI models and robots, Nscale announced Thursday (Sept. 3). "We're excited to partner with Figure as physical intelligence becomes AI's next frontier," Josh Payne, Nscale's founder and CEO, said in a news release. "We've seen incredible growth with inference and agentic AI and Figure is pushing the boundaries of AI even further. We're proud to be enabling the future of AI robotics together." Under the terms of the deal, Nscale will become a shareholder in Figure and serve as its preferred compute provider, directly supporting the development of Figure's next-generation Helix models and physical humanoid systems Please add us to your preferred sources list so our news, data and interviews show up in your feed. Thanks! The initial graphics processing units (GPUs) are scheduled for deployment beginning in the second half of next year in Barstow, Texas, the release added. To meet Figure's computational needs, Nscale intends to potentially deploy up to 100,000 Nvidia chips. Beyond raw processing power, the two companies also plan to explore opportunities to scale Nscale's supply chain using Figure's humanoid robots. "Humanoid robots extend physical AI into the world designed for people - opening a major new industry," said Jensen Huang, founder and CEO of Nvidia. "Nscale and Figure have activated the robotics flywheel," Huang said, as Figure's models train on Nvidia through Nscale's AI cloud, are validated in Nvidia and deployed in Figure's robots. "This is the physical AI flywheel that will accelerate the path from models to robots in the world." The announcement follows a report from last week that Anthropic has agreed to pay $45 billion to rent cloud computing power from Nscale's West Virginia data center. The Nscale/Figure partnership comes as American businesses are increasing their spending on robots, which has been good news for the company building them. As covered here last week, North American companies ordered 8,940 robots worth $622 million during the second quarter, respective increases over the same period in 2025 of 4.3% and 21.3%, per the Association for Advancing Automation. "Order value is growing nearly five times faster than order volume, a sign that companies are not just buying more robots but paying more per robot and choosing more capable machines than they did a year ago," that report said.

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