Overall Winner: World Labs·75/ 100

Preligens vs World Labs

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

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Preligens

🇫🇷 France · Arnaud Guerin

Series BComputer VisionEst. 2016

Valuation

N/A

Total Funding

$30M

50
Awaira Score50/100

100-500 employees

Full Preligens 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 Preligens and World Labs compete directly in the Computer Vision space, making this a head-to-head matchup within the same market segment. Preligens builds AI satellite imagery analysis software for defence and intelligence applications, using computer vision models trained on satellite and aerial imagery to detect, classify, and monitor military assets, infrastructure changes, and geopolitical events automatically. 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 — $200M more than Preligens's $30M.

Preligens has 8 years more market experience, having been founded in 2016 compared to World Labs's 2024 founding. In terms of growth stage, Preligens is at Series B while World Labs is at Series A — a meaningful difference for investors evaluating risk and upside.

Preligens operates out of 🇫🇷 France 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

MetricPreligensWorld Labs
💰Valuation
N/A
N/A
📈Total Funding
$30M
$230MWINS
📅Founded
2016
2024WINS
🚀Stage
Series B
Series A
👥Employees
100-500
50-200
🌍Country
France
United States
🏷️Category
Computer Vision
Computer Vision
Awaira Score
50
75WINS

Key Differences

📈

Funding gap: World Labs has raised $200M more ($230M vs $30M)

📅

Market experience: Preligens has 8 years more (founded 2016 vs 2024)

🚀

Growth stage: Preligens is at Series B vs World Labs at Series A

👥

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

🌍

Market base: 🇫🇷 Preligens (France) vs 🇺🇸 World Labs (United States)

⚔️

Direct competitors: Both operate in the Computer Vision market segment

Awaira Score: World Labs scores 75/100 vs Preligens's 50/100

Which Should You Choose?

Use these signals to make the right call

P

Choose Preligens if…

  • More market experience — founded in 2016
  • France-based for regional compliance or proximity
  • Preligens builds AI satellite imagery analysis software for defence and intelligence applications, using computer vision models trained on satellite and aerial imagery to detect, classify, and monitor military assets, infrastructure changes, and geopolitical events automatically
W

Choose World Labs if…

Top Pick
  • Higher Awaira Score — 75/100 vs 50/100
  • 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 — Preligens vs World Labs

Is Preligens bigger than World Labs?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Preligens employs 100-500 people, while World Labs has 50-200 employees.
Which company raised more funding — Preligens or World Labs?
World Labs has raised more in total funding at $230M, compared to Preligens's $30M — a gap of $200M.
Which company has a higher Awaira Score?
World Labs holds the higher Awaira Score at 75/100, compared to Preligens's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 25-point gap that reflects meaningful differences in scale or traction.
Who founded Preligens vs World Labs?
Preligens was founded by Arnaud Guerin in 2016. World Labs was founded by Fei-Fei Li in 2024. Visit each company's profile on Awaira for a full founder biography.
What does Preligens do vs World Labs?
Preligens: Preligens builds AI satellite imagery analysis software for defence and intelligence applications, using computer vision models trained on satellite and aerial imagery to detect, classify, and monitor military assets, infrastructure changes, and geopolitical events automatically. The Paris company provides intelligence analysts with AI-assisted tools that dramatically reduce the time required to process and interpret large volumes of earth observation imagery.\n\nThe company raised approximately $30 million in venture funding and was acquired by Safran, the French aerospace and defence group, in 2023, integrating its AI imagery analysis capabilities into Safran defence electronics business. Prior to acquisition, Preligens held contracts with the French Ministry of Armed Forces and NATO member intelligence agencies for satellite imagery processing and military site monitoring. The company developed proprietary deep learning models trained on labelled defence imagery datasets that are not commercially available.\n\nPreligens operated in the defence AI market, which encompasses GEOINT, SIGINT, and automated intelligence analysis tools, a segment increasingly targeted by venture-backed AI startups such as Palantir, Maxar, and Planet Labs as defence agencies allocate substantial budgets to AI-enhanced intelligence capabilities. The acquisition by Safran provided product distribution through Safran existing defence ministry relationships across France and allied nations, and technology integration with Safran optronic and satellite sensor product lines. The company represents a model for European dual-use AI startups commercialising computer vision for sovereign defence applications. 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?
Preligens was founded first in 2016, giving it 8 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?
Preligens 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 Preligens and World Labs competitors?
Yes, Preligens 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.