Overall Winner: OrCam·65/ 100
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OrCamWinner
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OrCam vs TechSee

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

Winner
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OrCam

🇮🇱 Israel · Amnon Shashua

Series CComputer VisionEst. 2010

Valuation

N/A

Total Funding

$152M

65
Awaira Score65/100

100-500 employees

Full OrCam Profile →
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TechSee

🇮🇱 Israel · Eitan Cohen

Series CComputer VisionEst. 2015

Valuation

N/A

Total Funding

$96M

63
Awaira Score63/100

100-500 employees

Full TechSee Profile →
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Analyst Summary

Generated from real data · No AI hallucinations

Both OrCam and TechSee 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. 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.

Neither company has publicly disclosed a valuation at this time. On the funding side, OrCam has raised $152M in total — $56M more than TechSee's $96M.

OrCam has 5 years more market experience, having been founded in 2010 compared to TechSee's 2015 founding. Both companies are currently at the Series C stage of their journey.

Both companies are headquartered in 🇮🇱 Israel, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, both companies are closely matched — OrCam scores 65 and TechSee scores 63.

Metrics Comparison

MetricOrCamTechSee
💰Valuation
N/A
N/A
📈Total Funding
$152MWINS
$96M
📅Founded
2010
2015WINS
🚀Stage
Series C
Series C
👥Employees
100-500
100-500
🌍Country
Israel
Israel
🏷️Category
Computer Vision
Computer Vision
Awaira Score
65WINS
63

Key Differences

📈

Funding gap: OrCam has raised $56M more ($152M vs $96M)

📅

Market experience: OrCam has 5 years more (founded 2010 vs 2015)

⚔️

Direct competitors: Both operate in the Computer Vision market segment

Awaira Score: OrCam scores 65/100 vs TechSee's 63/100

Which Should You Choose?

Use these signals to make the right call

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Choose OrCam if…

Top Pick
  • Higher Awaira Score — 65/100 vs 63/100
  • Stronger investor backing — raised $152M
  • More market experience — founded in 2010
  • 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
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Choose TechSee if…

  • 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

Users Also Compare

FAQ — OrCam vs TechSee

Is OrCam bigger than TechSee?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. OrCam employs 100-500 people, while TechSee has 100-500 employees.
Which company raised more funding — OrCam or TechSee?
OrCam has raised more in total funding at $152M, compared to TechSee's $96M — a gap of $56M.
Which company has a higher Awaira Score?
OrCam holds the higher Awaira Score at 65/100, compared to TechSee's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 2-point gap that reflects meaningful differences in scale or traction.
Who founded OrCam vs TechSee?
OrCam was founded by Amnon Shashua in 2010. TechSee was founded by Eitan Cohen in 2015. Visit each company's profile on Awaira for a full founder biography.
What does OrCam do vs TechSee?
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. 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.
Which company was founded first?
OrCam was founded first in 2010, giving it 5 years of additional market experience. TechSee was founded later in 2015. 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?
Both OrCam and TechSee report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.
Are OrCam and TechSee competitors?
Yes, OrCam and TechSee 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.