Overall Winner: Paige AI·65/ 100

Paige AI vs Recursion Pharmaceuticals

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

Winner
P
Paige AI

🇺🇸 United States · Leo Grady

Series CAI HealthcareEst. 2018

Valuation

N/A

Total Funding

$125M

65
Awaira Score65/100

100-500 employees

Full Paige AI Profile →
R
Recursion Pharmaceuticals

🇺🇸 United States · Chris Gibson

PublicAI HealthcareEst. 2013

Valuation

$2.2B

Total Funding

N/A

65
Awaira Score65/100

800 employees

Full Recursion Pharmaceuticals Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Paige AI and Recursion Pharmaceuticals compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. Paige AI develops AI-powered pathology software that assists pathologists in identifying cancer and other diseases in digital whole-slide images. Recursion Pharmaceuticals is a computational biology company founded in 2013 that uses artificial intelligence and high-throughput screening to accelerate drug discovery and development.

Recursion Pharmaceuticals carries a known valuation of $2.2B, while Paige AI's valuation has not been publicly disclosed. Paige AI has raised $125M in disclosed funding.

Recursion Pharmaceuticals has 5 years more market experience, having been founded in 2013 compared to Paige AI's 2018 founding. In terms of growth stage, Paige AI is at Series C while Recursion Pharmaceuticals is at Public — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇺🇸 United States, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, both companies are closely matched — Paige AI scores 65 and Recursion Pharmaceuticals scores 65.

Metrics Comparison

MetricPaige AIRecursion Pharmaceuticals
💰Valuation
N/A
$2.2B
📈Total Funding
$125M
N/A
📅Founded
2018WINS
2013
🚀Stage
Series C
Public
👥Employees
100-500
800
🌍Country
United States
United States
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
65
65

Key Differences

📅

Market experience: Recursion Pharmaceuticals has 5 years more (founded 2013 vs 2018)

🚀

Growth stage: Paige AI is at Series C vs Recursion Pharmaceuticals at Public

👥

Team size: Paige AI has 100-500 employees vs Recursion Pharmaceuticals's 800

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Which Should You Choose?

Use these signals to make the right call

P

Choose Paige AI if…

Top Pick
  • Stronger investor backing — raised $125M
  • Paige AI develops AI-powered pathology software that assists pathologists in identifying cancer and other diseases in digital whole-slide images
R

Choose Recursion Pharmaceuticals if…

  • More established by valuation ($2.2B)
  • More market experience — founded in 2013
  • Recursion Pharmaceuticals is a computational biology company founded in 2013 that uses artificial intelligence and high-throughput screening to accelerate drug discovery and development

Funding History

Paige AI raised $125M across 0 rounds. Recursion Pharmaceuticals raised N/A across 5 rounds.

Paige AI

No public funding data available.

Recursion Pharmaceuticals

IPO

Apr 2021

Series D

Jan 2021

$121M

Series C

Jan 2018

$50M

Series B

Jan 2016

$15M

Series A

Jan 2014

$8M

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FAQ — Paige AI vs Recursion Pharmaceuticals

Is Paige AI bigger than Recursion Pharmaceuticals?
Recursion Pharmaceuticals has a disclosed valuation of $2.2B, while Paige AI's valuation is not publicly available, making a direct size comparison difficult. Recursion Pharmaceuticals employs 800 people.
Which company raised more funding — Paige AI or Recursion Pharmaceuticals?
Paige AI has raised $125M in disclosed funding across 0 known rounds. Recursion Pharmaceuticals's funding history is not publicly available.
Which company has a higher Awaira Score?
Both Paige AI and Recursion Pharmaceuticals share the same Awaira Score of 65/100. The Awaira Score is a composite metric that factors in valuation, total funding raised, company stage, employee count, and market category.
Who founded Paige AI vs Recursion Pharmaceuticals?
Paige AI was founded by Leo Grady in 2018. Recursion Pharmaceuticals was founded by Chris Gibson in 2013. Visit each company's profile on Awaira for a full founder biography.
What does Paige AI do vs Recursion Pharmaceuticals?
Paige AI: Paige AI develops AI-powered pathology software that assists pathologists in identifying cancer and other diseases in digital whole-slide images. The platform received the first-ever FDA authorization for an AI-based primary diagnostic tool in pathology, a milestone that establishes regulatory precedent for clinical AI deployment in histopathology workflows.\n\nThe company raised approximately 125 million USD and partners with major academic medical centers and pathology laboratories to integrate its diagnostic AI into clinical workflows. Paige has expanded beyond prostate cancer detection into additional cancer types and is building a multi-cancer detection platform intended to function as a comprehensive AI layer across pathology departments.\n\nDigital pathology combined with AI represents one of the clearest near-term commercialization opportunities in medical AI, as the transition from glass slides to whole-slide imaging creates a digital substrate that AI can operate on at scale. Paige FDA clearance creates a significant regulatory moat that competitors must match before selling comparable diagnostic tools in the US market, giving the company a durable first-mover advantage in the AI-augmented pathology workflow. Recursion Pharmaceuticals: Recursion Pharmaceuticals is a computational biology company founded in 2013 that uses artificial intelligence and high-throughput screening to accelerate drug discovery and development. The company's platform combines automated microscopy, machine learning, and large-scale biological data analysis to identify novel drug candidates and therapeutic targets across multiple disease areas. Recursion operates a proprietary laboratory automation system capable of conducting millions of experiments to map cellular and molecular responses to chemical compounds. The company has developed computational models to predict drug efficacy and safety profiles before traditional clinical testing, significantly reducing development timelines and costs. As a publicly traded company with a $2.2 billion valuation, Recursion has built partnerships with major pharmaceutical firms including Bayer and Exscientia to validate its platform's effectiveness. The company's approach focuses on rare genetic diseases and oncology, leveraging its ability to process vast biological datasets that would be impractical through conventional methods. Recursion's competitive advantage lies in its integration of wet laboratory automation with advanced machine learning analytics, enabling systematic drug discovery at scale. The company continues to expand its internal pipeline while licensing its technology to established pharma players, positioning itself as both a drug developer and a computational biology platform provider in the AI healthcare sector. Recursion combines automated laboratory systems with machine learning to systematize drug discovery at unprecedented scale and speed.
Which company was founded first?
Recursion Pharmaceuticals was founded first in 2013, giving it 5 years of additional market experience. Paige AI was founded later in 2018. 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?
Paige AI has approximately 100-500 employees, while Recursion Pharmaceuticals has approximately 800. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Paige AI and Recursion Pharmaceuticals competitors?
Yes, Paige AI and Recursion Pharmaceuticals 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.