Overall Winner: World Labs·75/ 100
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World LabsWinner

OrCam vs World Labs

In-depth comparison — valuation, funding, investors, founders & more

O
OrCam

🇮🇱 Israel · Amnon Shashua

Series CComputer VisionEst. 2010

Valuation

N/A

Total Funding

$152M

65
Awaira Score65/100

100-500 employees

Full OrCam Profile →
Winner
W
World Labs

🇺🇸 United States · Fei-Fei Li

Series AComputer VisionEst. 2024

Valuation

N/A

Total Funding

$230M

75
Awaira Score75/100

50-200 employees

Full World Labs Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both OrCam and World Labs compete directly in the Computer Vision space, making this a head-to-head matchup within the same market segment. OrCam develops AI wearable devices for people with visual impairments and reading difficulties, producing the OrCam MyEye, a small camera that clips to eyeglass frames and uses computer vision and text-to-speech AI to read text, identify faces, recognise products, and describe scenes aloud to the wearer in real time. World Labs is an AI research and product company building spatial intelligence systems capable of generating, understanding, and reasoning about three-dimensional worlds.

Neither company has publicly disclosed a valuation at this time. On the funding side, World Labs has raised $230M in total — $78M more than OrCam's $152M.

OrCam has 14 years more market experience, having been founded in 2010 compared to World Labs's 2024 founding. In terms of growth stage, OrCam is at Series C while World Labs is at Series A — a meaningful difference for investors evaluating risk and upside.

OrCam operates out of 🇮🇱 Israel while World Labs is based in 🇺🇸 United States, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, World Labs leads with a score of 75, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricOrCamWorld Labs
💰Valuation
N/A
N/A
📈Total Funding
$152M
$230MWINS
📅Founded
2010
2024WINS
🚀Stage
Series C
Series A
👥Employees
100-500
50-200
🌍Country
Israel
United States
🏷️Category
Computer Vision
Computer Vision
Awaira Score
65
75WINS

Key Differences

📈

Funding gap: World Labs has raised $78M more ($230M vs $152M)

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Market experience: OrCam has 14 years more (founded 2010 vs 2024)

🚀

Growth stage: OrCam is at Series C vs World Labs at Series A

👥

Team size: OrCam has 100-500 employees vs World Labs's 50-200

🌍

Market base: 🇮🇱 OrCam (Israel) vs 🇺🇸 World Labs (United States)

⚔️

Direct competitors: Both operate in the Computer Vision market segment

Awaira Score: World Labs scores 75/100 vs OrCam's 65/100

Which Should You Choose?

Use these signals to make the right call

O

Choose OrCam if…

  • More market experience — founded in 2010
  • Israel-based for regional compliance or proximity
  • OrCam develops AI wearable devices for people with visual impairments and reading difficulties, producing the OrCam MyEye, a small camera that clips to eyeglass frames and uses computer vision and text-to-speech AI to read text, identify faces, recognise products, and describe scenes aloud to the wearer in real time
W

Choose World Labs if…

Top Pick
  • Higher Awaira Score — 75/100 vs 65/100
  • Stronger investor backing — raised $230M
  • United States-based for regional compliance or proximity
  • World Labs is an AI research and product company building spatial intelligence systems capable of generating, understanding, and reasoning about three-dimensional worlds

Users Also Compare

FAQ — OrCam vs World Labs

Is OrCam bigger than World Labs?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. OrCam employs 100-500 people, while World Labs has 50-200 employees.
Which company raised more funding — OrCam or World Labs?
World Labs has raised more in total funding at $230M, compared to OrCam's $152M — a gap of $78M.
Which company has a higher Awaira Score?
World Labs holds the higher Awaira Score at 75/100, compared to OrCam's 65/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.
Who founded OrCam vs World Labs?
OrCam was founded by Amnon Shashua in 2010. World Labs was founded by Fei-Fei Li in 2024. Visit each company's profile on Awaira for a full founder biography.
What does OrCam do vs World Labs?
OrCam: OrCam develops AI wearable devices for people with visual impairments and reading difficulties, producing the OrCam MyEye, a small camera that clips to eyeglass frames and uses computer vision and text-to-speech AI to read text, identify faces, recognise products, and describe scenes aloud to the wearer in real time. The Jerusalem company applies the same computer vision and AI technology developed by its founders at Mobileye to assistive technology for the visually impaired and those with dyslexia or other print disabilities.\n\nThe company raised approximately $152 million in venture funding from investors including Qumra Capital and Clal Electronics, co-founded by Amnon Shashua who simultaneously leads Mobileye, providing a direct technology and talent bridge between autonomous vehicle perception and assistive vision AI. OrCam devices are covered by insurance programmes and disability access schemes in multiple countries including the United States, Germany, and the United Kingdom, making them accessible to users who cannot afford the retail price out of pocket.\n\nOrCam competes in the AI assistive technology market against screen reader software from Apple and Microsoft, as well as specialist assistive device vendors including HumanWare and Envision. The company wearable hardware approach provides advantages over smartphone-based apps in hands-free, always-available scenarios where visually impaired users need continuous environmental interpretation without holding or interacting with a phone. OrCam has expanded its product line to include the OrCam Read for users with reading difficulties who do not have visual impairments, broadening the addressable market beyond traditional assistive technology buyers. World Labs: World Labs is an AI research and product company building spatial intelligence systems capable of generating, understanding, and reasoning about three-dimensional worlds. The company is developing large world models (LWMs) that can produce coherent, physically plausible 3D environments from images or descriptions, with intended applications in gaming, simulation, robotics, and creative media.\n\nThe company raised approximately 230 million USD in one of the largest Series A rounds in AI history, backed by leading venture capital firms attracted by the technical credentials of its founding team. World Labs was founded by Fei-Fei Li, the Stanford AI Lab director widely credited with creating ImageNet, the benchmark dataset that catalyzed the deep learning revolution in computer vision.\n\nSpatial AI and 3D world generation represent a frontier capability with applications across multiple large markets including video game development, architectural visualization, autonomous vehicle simulation, and virtual production. The founding team technical pedigree and the scale of initial funding position World Labs as one of the most watched early-stage AI companies, with the expectation that breakthrough spatial intelligence capabilities could redefine how 3D content is created and how AI systems perceive and navigate physical environments.
Which company was founded first?
OrCam was founded first in 2010, giving it 14 years of additional market experience. World Labs was founded later in 2024. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
OrCam has approximately 100-500 employees, while World Labs has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are OrCam and World Labs competitors?
Yes, OrCam and World Labs are direct competitors — both operate in the Computer Vision space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.