Overall Winner: World Labs·75/ 100

TechSee vs World Labs

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

T
TechSee

🇮🇱 Israel · Eitan Cohen

Series CComputer VisionEst. 2015

Valuation

N/A

Total Funding

$96M

63
Awaira Score63/100

100-500 employees

Full TechSee 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 TechSee and World Labs compete directly in the Computer Vision space, making this a head-to-head matchup within the same market segment. TechSee builds computer vision AI for customer service automation, enabling contact center agents and self-service workflows to use smartphone cameras for remote visual assistance, product recognition, and guided troubleshooting. 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 — $134M more than TechSee's $96M.

TechSee has 9 years more market experience, having been founded in 2015 compared to World Labs's 2024 founding. In terms of growth stage, TechSee is at Series C while World Labs is at Series A — a meaningful difference for investors evaluating risk and upside.

TechSee 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

MetricTechSeeWorld Labs
💰Valuation
N/A
N/A
📈Total Funding
$96M
$230MWINS
📅Founded
2015
2024WINS
🚀Stage
Series C
Series A
👥Employees
100-500
50-200
🌍Country
Israel
United States
🏷️Category
Computer Vision
Computer Vision
Awaira Score
63
75WINS

Key Differences

📈

Funding gap: World Labs has raised $134M more ($230M vs $96M)

📅

Market experience: TechSee has 9 years more (founded 2015 vs 2024)

🚀

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

👥

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

🌍

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

⚔️

Direct competitors: Both operate in the Computer Vision market segment

Awaira Score: World Labs scores 75/100 vs TechSee's 63/100

Which Should You Choose?

Use these signals to make the right call

T

Choose TechSee if…

  • More market experience — founded in 2015
  • Israel-based for regional compliance or proximity
  • TechSee builds computer vision AI for customer service automation, enabling contact center agents and self-service workflows to use smartphone cameras for remote visual assistance, product recognition, and guided troubleshooting
W

Choose World Labs if…

Top Pick
  • Higher Awaira Score — 75/100 vs 63/100
  • 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 — TechSee vs World Labs

Is TechSee bigger than World Labs?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. TechSee employs 100-500 people, while World Labs has 50-200 employees.
Which company raised more funding — TechSee or World Labs?
World Labs has raised more in total funding at $230M, compared to TechSee's $96M — a gap of $134M.
Which company has a higher Awaira Score?
World Labs holds the higher Awaira Score at 75/100, compared to TechSee's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.
Who founded TechSee vs World Labs?
TechSee was founded by Eitan Cohen in 2015. World Labs was founded by Fei-Fei Li in 2024. Visit each company's profile on Awaira for a full founder biography.
What does TechSee do vs World Labs?
TechSee: TechSee builds computer vision AI for customer service automation, enabling contact center agents and self-service workflows to use smartphone cameras for remote visual assistance, product recognition, and guided troubleshooting. The Tel Aviv company platform allows customers to point cameras at devices, appliances, or technical problems while AI models identify the product, diagnose issues, and guide resolution steps, replacing truck rolls and in-person service visits with AI-assisted remote resolution.\n\nThe company raised approximately $96 million in venture funding including a Series C from investors including Scale Venture Partners and Salesforce Ventures. TechSee counts several of the largest telecommunications operators, insurance companies, and consumer electronics manufacturers among its clients, deploying visual assistance across customer onboarding, technical support, and field service applications. The platform integrates with contact center platforms including Salesforce Service Cloud, Genesys, and Nice inContact.\n\nTechSee competes in the visual assistance and AI-powered field service market alongside Aquant, ServiceMax, and traditional remote assistance tools augmented with AI capabilities. The value proposition centres on deflecting costly truck roll visits in telecommunications and utilities, where physical service dispatch costs hundreds of dollars per visit, and on reducing handle time in contact centers where agents must verbally diagnose problems they cannot see. Remote visual AI assistance has gained adoption as broadband connectivity and smartphone camera quality have made camera-based troubleshooting reliable in consumer and enterprise service scenarios. 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?
TechSee was founded first in 2015, giving it 9 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?
TechSee 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 TechSee and World Labs competitors?
Yes, TechSee 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.