Overall Winner: PathAI·62/ 100
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PathAIWinner

Niramai vs PathAI

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

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 →
Winner
P
PathAI

🇺🇸 United States · Andy Beck

Series CAI HealthcareEst. 2016

Valuation

N/A

Total Funding

$255M

62
Awaira Score62/100

300 employees

Full PathAI Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Niramai and PathAI compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. 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. PathAI is an AI healthcare company founded in 2016 that develops digital pathology solutions and AI-powered diagnostic tools for pathology labs and healthcare institutions.

Neither company has publicly disclosed a valuation at this time. On the funding side, PathAI has raised $255M in total — $238M more than Niramai's $17M.

Both companies were founded in 2016, giving them the same market tenure. In terms of growth stage, Niramai is at Series B while PathAI is at Series C — a meaningful difference for investors evaluating risk and upside.

Niramai operates out of 🇮🇳 India while PathAI is based in 🇺🇸 United States, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, both companies are closely matched — Niramai scores 60 and PathAI scores 62.

Metrics Comparison

MetricNiramaiPathAI
💰Valuation
N/A
N/A
📈Total Funding
$17M
$255MWINS
📅Founded
2016
2016
🚀Stage
Series B
Series C
👥Employees
50-200
300
🌍Country
India
United States
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
60
62WINS

Key Differences

📈

Funding gap: PathAI has raised $238M more ($255M vs $17M)

🚀

Growth stage: Niramai is at Series B vs PathAI at Series C

👥

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

🌍

Market base: 🇮🇳 Niramai (India) vs 🇺🇸 PathAI (United States)

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: PathAI scores 62/100 vs Niramai's 60/100

Which Should You Choose?

Use these signals to make the right call

N

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
P

Choose PathAI if…

Top Pick
  • Higher Awaira Score — 62/100 vs 60/100
  • Stronger investor backing — raised $255M
  • United States-based for regional compliance or proximity
  • PathAI is an AI healthcare company founded in 2016 that develops digital pathology solutions and AI-powered diagnostic tools for pathology labs and healthcare institutions

Funding History

Niramai raised $17M across 0 rounds. PathAI raised $255M across 3 rounds.

Niramai

No public funding data available.

PathAI

Series C

Jan 2021

$165M

Series B

Jan 2019

$75M

Series A

Jan 2018

$15M

Investor Comparison

No shared investors detected between these two companies.

Unique to PathAI

Khosla VenturesMayo Clinic

Users Also Compare

FAQ — Niramai vs PathAI

Is Niramai bigger than PathAI?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Niramai employs 50-200 people, while PathAI has 300 employees.
Which company raised more funding — Niramai or PathAI?
PathAI has raised more in total funding at $255M, compared to Niramai's $17M — a gap of $238M. Combined, the two companies have completed 3 known funding rounds.
Which company has a higher Awaira Score?
PathAI holds the higher Awaira Score at 62/100, compared to Niramai's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 2-point gap that reflects meaningful differences in scale or traction.
Who founded Niramai vs PathAI?
Niramai was founded by Geetha Manjunath in 2016. PathAI was founded by Andy Beck in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Niramai do vs PathAI?
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. PathAI: PathAI is an AI healthcare company founded in 2016 that develops digital pathology solutions and AI-powered diagnostic tools for pathology labs and healthcare institutions. The company specializes in machine learning algorithms designed to assist pathologists in analyzing tissue samples and identifying diseases, particularly cancer. PathAI's core technology platform leverages deep learning and computer vision to process histopathology images, enhancing diagnostic accuracy and workflow efficiency. The company's primary offering includes software that integrates with existing laboratory information systems, enabling pathologists to use AI-assisted analysis for specimen evaluation. PathAI has developed partnerships with major healthcare systems and diagnostic laboratories, demonstrating clinical utility in oncology and other pathology specialties. The platform addresses critical challenges in pathology including diagnostic consistency, workload management, and access to specialized expertise in underserved regions. PathAI has raised $255 million in total funding as of its Series C stage, with valuation not disclosed. The company operates in the competitive digital pathology and AI diagnostics space, alongside competitors offering similar computational pathology solutions. The digital pathology market is experiencing significant growth driven by increasing diagnostic demands, laboratory automation trends, and regulatory acceptance of AI-assisted tools. PathAI's trajectory reflects broader momentum in AI-enabled healthcare diagnostics and precision medicine applications. PathAI combines deep learning with pathology workflows to create clinically integrated AI tools that assist rather than replace human pathologists.
Which company was founded first?
Both Niramai and PathAI were founded in the same year — 2016. 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?
Niramai has approximately 50-200 employees, while PathAI 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 Niramai and PathAI competitors?
Yes, Niramai and PathAI 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.