Overall Winner: Lunit·63/ 100
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LunitWinner
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Lunit vs Niramai

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

Winner
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Lunit

🇰🇷 South Korea · Brandon Suh

PublicAI HealthcareEst. 2013

Valuation

$829M

Total Funding

$150M

63
Awaira Score63/100

300 employees

Full Lunit Profile →
N
Niramai

🇮🇳 India · Geetha Manjunath

Series BAI HealthcareEst. 2016

Valuation

N/A

Total Funding

$17M

60
Awaira Score60/100

50-200 employees

Full Niramai Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Lunit and Niramai compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. Lunit is a South Korean AI healthcare company founded in 2013 that specializes in diagnostic imaging analysis using artificial intelligence. Niramai has developed a radiation-free, non-contact breast cancer screening solution that uses thermal imaging combined with AI-powered image analysis to detect early-stage breast cancer, addressing the significant access and cost barriers that prevent widespread mammography screening in low- and middle-income countries.

Lunit carries a known valuation of $829M, while Niramai's valuation has not been publicly disclosed. On the funding side, Lunit has raised $150M in total — $133M more than Niramai's $17M.

Lunit has 3 years more market experience, having been founded in 2013 compared to Niramai's 2016 founding. In terms of growth stage, Lunit is at Public while Niramai is at Series B — a meaningful difference for investors evaluating risk and upside.

Lunit operates out of 🇰🇷 South Korea while Niramai is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, both companies are closely matched — Lunit scores 63 and Niramai scores 60.

Metrics Comparison

MetricLunitNiramai
💰Valuation
$829M
N/A
📈Total Funding
$150MWINS
$17M
📅Founded
2013
2016WINS
🚀Stage
Public
Series B
👥Employees
300
50-200
🌍Country
South Korea
India
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
63WINS
60

Key Differences

📈

Funding gap: Lunit has raised $133M more ($150M vs $17M)

📅

Market experience: Lunit has 3 years more (founded 2013 vs 2016)

🚀

Growth stage: Lunit is at Public vs Niramai at Series B

👥

Team size: Lunit has 300 employees vs Niramai's 50-200

🌍

Market base: 🇰🇷 Lunit (South Korea) vs 🇮🇳 Niramai (India)

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: Lunit scores 63/100 vs Niramai's 60/100

Which Should You Choose?

Use these signals to make the right call

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Choose Lunit if…

Top Pick
  • Higher Awaira Score — 63/100 vs 60/100
  • More established by valuation ($829M)
  • Stronger investor backing — raised $150M
  • More market experience — founded in 2013
  • South Korea-based for regional compliance or proximity
  • Lunit is a South Korean AI healthcare company founded in 2013 that specializes in diagnostic imaging analysis using artificial intelligence
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Choose Niramai if…

  • India-based for regional compliance or proximity
  • Niramai has developed a radiation-free, non-contact breast cancer screening solution that uses thermal imaging combined with AI-powered image analysis to detect early-stage breast cancer, addressing the significant access and cost barriers that prevent widespread mammography screening in low- and middle-income countries

Funding History

Lunit raised $150M across 4 rounds. Niramai raised $17M across 0 rounds.

Lunit

IPO

Jan 2021

Series C

Jan 2019

$40M

Series B

Jan 2017

$25M

Series A

Jan 2015

$10M

Niramai

No public funding data available.

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FAQ — Lunit vs Niramai

Is Lunit bigger than Niramai?
Lunit has a disclosed valuation of $829M, while Niramai's valuation is not publicly available, making a direct size comparison difficult. Lunit employs 300 people.
Which company raised more funding — Lunit or Niramai?
Lunit has raised more in total funding at $150M, compared to Niramai's $17M — a gap of $133M. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
Lunit holds the higher Awaira Score at 63/100, compared to Niramai's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 3-point gap that reflects meaningful differences in scale or traction.
Who founded Lunit vs Niramai?
Lunit was founded by Brandon Suh in 2013. Niramai was founded by Geetha Manjunath in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Lunit do vs Niramai?
Lunit: Lunit is a South Korean AI healthcare company founded in 2013 that specializes in diagnostic imaging analysis using artificial intelligence. The company develops machine learning algorithms designed to assist radiologists in detecting abnormalities across medical imaging modalities, particularly in chest radiography, breast cancer screening, and CT scans. Lunit's core platform uses deep learning to analyze medical images and provide clinical decision support, aiming to improve diagnostic accuracy and efficiency in healthcare settings. The company's primary products include Lunit INSIGHT, a software solution that integrates with existing hospital infrastructure and picture archiving systems. Lunit has established a presence across Asia, Europe, and other regions, with its technology deployed in hospitals and diagnostic centers. The company went public on the Korean stock exchange, achieving a valuation of $0.8 billion. With $150 million in total funding raised through various rounds before its public listing, Lunit operates in a competitive segment alongside companies like Zebra Medical Vision, Arterys, and various regional competitors. The company faces competition from both specialized AI diagnostic firms and larger healthcare technology providers developing similar capabilities. Lunit's growth trajectory reflects increasing adoption of AI in medical imaging across Asia-Pacific markets, where regulatory pathways and healthcare infrastructure continue to evolve to accommodate such technologies. Lunit is among the few AI medical imaging companies to achieve public market status, particularly from South Korea, reflecting regional strength in healthcare technology innovation. Niramai: Niramai has developed a radiation-free, non-contact breast cancer screening solution that uses thermal imaging combined with AI-powered image analysis to detect early-stage breast cancer, addressing the significant access and cost barriers that prevent widespread mammography screening in low- and middle-income countries. The technology works without X-ray radiation, requires no radiologist for initial interpretation, and can be deployed in mobile screening units.\n\nThe company raised approximately $17M in Series B funding and has conducted clinical validation studies demonstrating sensitivity and specificity metrics competitive with mammography for early detection. Niramai has deployed its screening solution at hospitals, corporate wellness programs, and rural health camps across India.\n\nBreast cancer is the most common cancer among Indian women, yet screening rates remain critically low due to equipment costs, specialist shortages, and cultural barriers to mammography. Niramai's AI-powered thermal screening addresses each of these barriers simultaneously, positioning the company at the intersection of AI healthcare innovation and a major Indian public health challenge.
Which company was founded first?
Lunit was founded first in 2013, giving it 3 years of additional market experience. Niramai was founded later in 2016. 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?
Lunit has approximately 300 employees, while Niramai 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 Lunit and Niramai competitors?
Yes, Lunit and Niramai are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.