Overall Winner: Paige AI·65/ 100

Atomwise vs Paige AI

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

A
Atomwise

🇺🇸 United States · Abraham Heifets

Series BAI HealthcareEst. 2012

Valuation

N/A

Total Funding

$219M

53
Awaira Score53/100

75 employees

Full Atomwise Profile →
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 →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Atomwise and Paige AI compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. Atomwise is an artificial intelligence company focused on drug discovery and development, founded in 2012 and headquartered in the United States. Paige AI develops AI-powered pathology software that assists pathologists in identifying cancer and other diseases in digital whole-slide images.

Neither company has publicly disclosed a valuation at this time. On the funding side, Atomwise has raised $219M in total — $94M more than Paige AI's $125M.

Atomwise has 6 years more market experience, having been founded in 2012 compared to Paige AI's 2018 founding. In terms of growth stage, Atomwise is at Series B while Paige AI is at Series C — 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, Paige AI leads with a score of 65, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricAtomwisePaige AI
💰Valuation
N/A
N/A
📈Total Funding
$219MWINS
$125M
📅Founded
2012
2018WINS
🚀Stage
Series B
Series C
👥Employees
75
100-500
🌍Country
United States
United States
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
53
65WINS

Key Differences

📈

Funding gap: Atomwise has raised $94M more ($219M vs $125M)

📅

Market experience: Atomwise has 6 years more (founded 2012 vs 2018)

🚀

Growth stage: Atomwise is at Series B vs Paige AI at Series C

👥

Team size: Atomwise has 75 employees vs Paige AI's 100-500

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: Paige AI scores 65/100 vs Atomwise's 53/100

Which Should You Choose?

Use these signals to make the right call

A

Choose Atomwise if…

  • Stronger investor backing — raised $219M
  • More market experience — founded in 2012
  • Atomwise is an artificial intelligence company focused on drug discovery and development, founded in 2012 and headquartered in the United States
P

Choose Paige AI if…

Top Pick
  • Higher Awaira Score — 65/100 vs 53/100
  • Paige AI develops AI-powered pathology software that assists pathologists in identifying cancer and other diseases in digital whole-slide images

Funding History

Atomwise raised $219M across 5 rounds. Paige AI raised $125M across 0 rounds.

Atomwise

Series B

Jan 2017

$45M

Series B

Jan 2017

Lead: Temasek

$45M

Series A

Jan 2015

Lead: Khosla Ventures

$45M

Series A

Jan 2014

$6.5M

Seed

Jan 2012

Paige AI

No public funding data available.

Investor Comparison

No shared investors detected between these two companies.

Unique to Atomwise

TemasekB Capital GroupKhosla VenturesData Collective

Users Also Compare

FAQ — Atomwise vs Paige AI

Is Atomwise bigger than Paige AI?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Atomwise employs 75 people, while Paige AI has 100-500 employees.
Which company raised more funding — Atomwise or Paige AI?
Atomwise has raised more in total funding at $219M, compared to Paige AI's $125M — a gap of $94M. Combined, the two companies have completed 5 known funding rounds.
Which company has a higher Awaira Score?
Paige AI holds the higher Awaira Score at 65/100, compared to Atomwise's 53/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.
Who founded Atomwise vs Paige AI?
Atomwise was founded by Abraham Heifets in 2012. Paige AI was founded by Leo Grady in 2018. Visit each company's profile on Awaira for a full founder biography.
What does Atomwise do vs Paige AI?
Atomwise: Atomwise is an artificial intelligence company focused on drug discovery and development, founded in 2012 and headquartered in the United States. The company uses AI and computational chemistry to identify and optimize potential drug candidates, reducing the time and cost associated with traditional pharmaceutical research methods. Atomwise's platform leverages machine learning algorithms to screen vast chemical libraries and predict molecular interactions, enabling faster identification of promising compounds for various therapeutic areas including oncology, infectious diseases, and genetic disorders. The company has secured $219 million in total funding and operates at the Series B stage, though its current valuation remains undisclosed. Atomwise's approach combines physics-based molecular modeling with machine learning to simulate how potential drugs interact with disease targets. The platform has been applied to multiple drug discovery projects across both internal programs and partnerships with pharmaceutical companies and research institutions. Atomwise competes in the growing computational drug discovery sector alongside companies utilizing AI for pharmaceutical development. The company's technology addresses significant pain points in drug development, including extended timelines and high failure rates. Its trajectory reflects the increasing adoption of AI-driven approaches in healthcare and pharmaceutical industries, positioning it within a broader trend toward computational acceleration of biomedical research and development processes. Atomwise applies physics-informed machine learning to molecular simulation for drug discovery, combining computational chemistry with AI to accelerate preclinical pharmaceutical development. 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.
Which company was founded first?
Atomwise was founded first in 2012, giving it 6 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?
Atomwise has approximately 75 employees, while Paige AI 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 Atomwise and Paige AI competitors?
Yes, Atomwise and Paige AI 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.