Overall Winner: Lunit·63/ 100

BenevolentAI vs Lunit

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

B
BenevolentAI

🇬🇧 United Kingdom · Joanna Shields

PublicAI HealthcareEst. 2013

Valuation

N/A

Total Funding

$292M

62
Awaira Score62/100

100-500 employees

Full BenevolentAI Profile →
Winner
L
Lunit

🇰🇷 South Korea · Brandon Suh

PublicAI HealthcareEst. 2013

Valuation

$829M

Total Funding

$150M

63
Awaira Score63/100

300 employees

Full Lunit Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both BenevolentAI and Lunit compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. BenevolentAI applies machine learning to drug discovery, using knowledge graph technology and predictive AI models to identify novel drug candidates and repurpose existing compounds for new therapeutic applications. Lunit is a South Korean AI healthcare company founded in 2013 that specializes in diagnostic imaging analysis using artificial intelligence.

Lunit carries a known valuation of $829M, while BenevolentAI's valuation has not been publicly disclosed. On the funding side, BenevolentAI has raised $292M in total — $142M more than Lunit's $150M.

Both companies were founded in 2013, giving them the same market tenure. Both companies are currently at the Public stage of their journey.

BenevolentAI operates out of 🇬🇧 United Kingdom while Lunit is based in 🇰🇷 South Korea, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, both companies are closely matched — BenevolentAI scores 62 and Lunit scores 63.

Metrics Comparison

MetricBenevolentAILunit
💰Valuation
N/A
$829M
📈Total Funding
$292MWINS
$150M
📅Founded
2013
2013
🚀Stage
Public
Public
👥Employees
100-500
300
🌍Country
United Kingdom
South Korea
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
62
63WINS

Key Differences

📈

Funding gap: BenevolentAI has raised $142M more ($292M vs $150M)

👥

Team size: BenevolentAI has 100-500 employees vs Lunit's 300

🌍

Market base: 🇬🇧 BenevolentAI (United Kingdom) vs 🇰🇷 Lunit (South Korea)

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: Lunit scores 63/100 vs BenevolentAI's 62/100

Which Should You Choose?

Use these signals to make the right call

B

Choose BenevolentAI if…

  • Stronger investor backing — raised $292M
  • United Kingdom-based for regional compliance or proximity
  • BenevolentAI applies machine learning to drug discovery, using knowledge graph technology and predictive AI models to identify novel drug candidates and repurpose existing compounds for new therapeutic applications
L

Choose Lunit if…

Top Pick
  • Higher Awaira Score — 63/100 vs 62/100
  • More established by valuation ($829M)
  • 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

Funding History

BenevolentAI raised $292M across 0 rounds. Lunit raised $150M across 4 rounds.

BenevolentAI

No public funding data available.

Lunit

IPO

Jan 2021

Series C

Jan 2019

$40M

Series B

Jan 2017

$25M

Series A

Jan 2015

$10M

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FAQ — BenevolentAI vs Lunit

Is BenevolentAI bigger than Lunit?
Lunit has a disclosed valuation of $829M, while BenevolentAI's valuation is not publicly available, making a direct size comparison difficult. Lunit employs 300 people.
Which company raised more funding — BenevolentAI or Lunit?
BenevolentAI has raised more in total funding at $292M, compared to Lunit's $150M — a gap of $142M. 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 BenevolentAI's 62/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 1-point gap that reflects meaningful differences in scale or traction.
Who founded BenevolentAI vs Lunit?
BenevolentAI was founded by Joanna Shields in 2013. Lunit was founded by Brandon Suh in 2013. Visit each company's profile on Awaira for a full founder biography.
What does BenevolentAI do vs Lunit?
BenevolentAI: BenevolentAI applies machine learning to drug discovery, using knowledge graph technology and predictive AI models to identify novel drug candidates and repurpose existing compounds for new therapeutic applications. The London-based company has built a proprietary biomedical knowledge graph containing billions of data points extracted from scientific literature, clinical trial data, and genomic databases, which feeds its target identification and molecule generation pipelines.\n\nThe company went public on Euronext Amsterdam in 2022 via a SPAC merger with Odyssey Acquisition, having previously raised approximately $292 million in private funding from backers including SoftBank, Woodford Investment Management, and Mayfair Equity Partners. BenevolentAI has clinical-stage programs in atopic dermatitis and amyotrophic lateral sclerosis, developed from AI-generated hypotheses that were subsequently validated in wet lab experiments and progressed into human trials.\n\nBenevolentAI operates in the AI drug discovery sector alongside Recursion Pharmaceuticals, Exscientia, and Insilico Medicine. The company faces the inherent challenge of all computational drug discovery platforms in demonstrating that AI-generated candidates can survive clinical attrition at higher rates than traditionally discovered drugs. The platform is considered one of the more mature AI drug discovery systems in Europe, with the longest track record of moving AI-generated hypotheses into clinical development. 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.
Which company was founded first?
Both BenevolentAI and Lunit were founded in the same year — 2013. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.
Which company has more employees?
BenevolentAI has approximately 100-500 employees, while Lunit has approximately 300. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are BenevolentAI and Lunit competitors?
Yes, BenevolentAI and Lunit 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.