Overall Winner: PathAI·62/ 100
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PathAIWinner
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PathAI vs SigTuple

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

Winner
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PathAI

🇺🇸 United States · Andy Beck

Series CAI HealthcareEst. 2016

Valuation

N/A

Total Funding

$255M

62
Awaira Score62/100

300 employees

Full PathAI Profile →
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SigTuple

🇮🇳 India · Rohit Kumar Pandey

Series BAI HealthcareEst. 2015

Valuation

N/A

Total Funding

$20M

60
Awaira Score60/100

100-500 employees

Full SigTuple Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both PathAI and SigTuple compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. 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. SigTuple develops AI-powered automated pathology solutions that digitize and analyze microscopy slides for blood, urine, sputum, and semen samples, enabling high-throughput diagnostic testing without the constant presence of trained pathologists.

Neither company has publicly disclosed a valuation at this time. On the funding side, PathAI has raised $255M in total — $235M more than SigTuple's $20M.

SigTuple has 1 year more market experience, having been founded in 2015 compared to PathAI's 2016 founding. In terms of growth stage, PathAI is at Series C while SigTuple is at Series B — a meaningful difference for investors evaluating risk and upside.

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

Metrics Comparison

MetricPathAISigTuple
💰Valuation
N/A
N/A
📈Total Funding
$255MWINS
$20M
📅Founded
2016WINS
2015
🚀Stage
Series C
Series B
👥Employees
300
100-500
🌍Country
United States
India
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
62WINS
60

Key Differences

📈

Funding gap: PathAI has raised $235M more ($255M vs $20M)

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Market experience: SigTuple has 1 year more (founded 2015 vs 2016)

🚀

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

👥

Team size: PathAI has 300 employees vs SigTuple's 100-500

🌍

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

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

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

Which Should You Choose?

Use these signals to make the right call

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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
S

Choose SigTuple if…

  • More market experience — founded in 2015
  • India-based for regional compliance or proximity
  • SigTuple develops AI-powered automated pathology solutions that digitize and analyze microscopy slides for blood, urine, sputum, and semen samples, enabling high-throughput diagnostic testing without the constant presence of trained pathologists

Funding History

PathAI raised $255M across 3 rounds. SigTuple raised $20M across 0 rounds.

PathAI

Series C

Jan 2021

$165M

Series B

Jan 2019

$75M

Series A

Jan 2018

$15M

SigTuple

No public funding data available.

Investor Comparison

No shared investors detected between these two companies.

Unique to PathAI

Khosla VenturesMayo Clinic

Users Also Compare

FAQ — PathAI vs SigTuple

Is PathAI bigger than SigTuple?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. PathAI employs 300 people, while SigTuple has 100-500 employees.
Which company raised more funding — PathAI or SigTuple?
PathAI has raised more in total funding at $255M, compared to SigTuple's $20M — a gap of $235M. 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 SigTuple'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 PathAI vs SigTuple?
PathAI was founded by Andy Beck in 2016. SigTuple was founded by Rohit Kumar Pandey in 2015. Visit each company's profile on Awaira for a full founder biography.
What does PathAI do vs SigTuple?
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. SigTuple: SigTuple develops AI-powered automated pathology solutions that digitize and analyze microscopy slides for blood, urine, sputum, and semen samples, enabling high-throughput diagnostic testing without the constant presence of trained pathologists. The company's AI-Minth platform uses robotic sample preparation, high-resolution imaging, and deep learning analysis to deliver diagnostic-grade results.\n\nThe company raised approximately $20M in Series B funding and has deployed its automated microscopy systems at diagnostic labs, hospitals, and blood banks across India, processing millions of diagnostic samples. SigTuple has received regulatory approvals for its diagnostic AI products and has established partnerships with major diagnostic laboratory chains.\n\nIndia faces a severe shortage of qualified pathologists relative to population, creating an acute need for AI-assisted diagnostic automation. SigTuple's approach of combining hardware, robotics, and AI in an integrated system addresses the complete diagnostic workflow rather than just the software layer, creating higher deployment barriers but also higher switching costs and stronger network effects from accumulated diagnostic data.
Which company was founded first?
SigTuple was founded first in 2015, giving it 1 year of additional market experience. PathAI 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?
PathAI has approximately 300 employees, while SigTuple has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are PathAI and SigTuple competitors?
Yes, PathAI and SigTuple 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.