Overall Winner: Exscientia·72/ 100

Exscientia vs Niramai

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

Winner
E
Exscientia

🇬🇧 United Kingdom · Andrew Hopkins

PublicAI HealthcareEst. 2012

Valuation

N/A

Total Funding

$500M

72
Awaira Score72/100

100-500 employees

Full Exscientia Profile →
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 →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Exscientia and Niramai compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. Exscientia is an AI-driven drug design company that uses automated design-make-test-analyse cycles to generate drug candidates with the goal of reducing the time and cost of small molecule drug discovery. 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.

Neither company has publicly disclosed a valuation at this time. On the funding side, Exscientia has raised $500M in total — $483M more than Niramai's $17M.

Exscientia has 4 years more market experience, having been founded in 2012 compared to Niramai's 2016 founding. In terms of growth stage, Exscientia is at Public while Niramai is at Series B — a meaningful difference for investors evaluating risk and upside.

Exscientia operates out of 🇬🇧 United Kingdom while Niramai is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Exscientia leads with a score of 72, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricExscientiaNiramai
💰Valuation
N/A
N/A
📈Total Funding
$500MWINS
$17M
📅Founded
2012
2016WINS
🚀Stage
Public
Series B
👥Employees
100-500
50-200
🌍Country
United Kingdom
India
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
72WINS
60

Key Differences

📈

Funding gap: Exscientia has raised $483M more ($500M vs $17M)

📅

Market experience: Exscientia has 4 years more (founded 2012 vs 2016)

🚀

Growth stage: Exscientia is at Public vs Niramai at Series B

👥

Team size: Exscientia has 100-500 employees vs Niramai's 50-200

🌍

Market base: 🇬🇧 Exscientia (United Kingdom) vs 🇮🇳 Niramai (India)

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: Exscientia scores 72/100 vs Niramai's 60/100

Which Should You Choose?

Use these signals to make the right call

E

Choose Exscientia if…

Top Pick
  • Higher Awaira Score — 72/100 vs 60/100
  • Stronger investor backing — raised $500M
  • More market experience — founded in 2012
  • United Kingdom-based for regional compliance or proximity
  • Exscientia is an AI-driven drug design company that uses automated design-make-test-analyse cycles to generate drug candidates with the goal of reducing the time and cost of small molecule drug discovery
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

Users Also Compare

FAQ — Exscientia vs Niramai

Is Exscientia bigger than Niramai?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Exscientia employs 100-500 people, while Niramai has 50-200 employees.
Which company raised more funding — Exscientia or Niramai?
Exscientia has raised more in total funding at $500M, compared to Niramai's $17M — a gap of $483M.
Which company has a higher Awaira Score?
Exscientia holds the higher Awaira Score at 72/100, compared to Niramai's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.
Who founded Exscientia vs Niramai?
Exscientia was founded by Andrew Hopkins in 2012. Niramai was founded by Geetha Manjunath in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Exscientia do vs Niramai?
Exscientia: Exscientia is an AI-driven drug design company that uses automated design-make-test-analyse cycles to generate drug candidates with the goal of reducing the time and cost of small molecule drug discovery. The Oxford-originated company builds generative chemistry models and automated laboratory robotics that together create a closed-loop system for molecular design, synthesis, and assay testing, producing candidates in months rather than the years required by conventional medicinal chemistry programmes.\n\nThe company went public on NASDAQ under the ticker EXAI, having raised over $500 million in combined public and private funding from investors including Bristol-Myers Squibb, Celgene, SoftBank, and GT Healthcare Capital Partners. Exscientia has clinical-stage programmes in oncology and neuropsychiatry and reports being the first company to advance AI-designed drug candidates into human clinical trials. The company has multiple pharma partnerships including agreements with Bristol-Myers Squibb, Sanofi, and Evotec that provide milestone and royalty revenue.\n\nExscientia competes in the AI drug design space against Recursion Pharmaceuticals, Schrodinger, Relay Therapeutics, and Insilico Medicine. The company differentiates through its integrated automated laboratory approach, which combines computational design with physical synthesis and testing in a single workflow rather than treating AI design as a separate step before conventional chemistry. Its public market position and disclosed clinical programmes provide transparency benchmarks against which the broader AI drug discovery sector is measured by investors and pharmaceutical partners. 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.
Which company was founded first?
Exscientia was founded first in 2012, giving it 4 years of additional market experience. Niramai 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?
Exscientia has approximately 100-500 employees, while Niramai has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Exscientia and Niramai competitors?
Yes, Exscientia and Niramai 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.