Overall Winner: Butterfly Network·85/ 100

Butterfly Network vs Harrison.ai

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

Winner
B
Butterfly Network

🇺🇸 United States · John Martin

PublicAI HealthcareEst. 2011

Valuation

$1.5B

Total Funding

$700M

85
Awaira Score85/100

500-1000 employees

Full Butterfly Network Profile →
H
Harrison.ai

🇦🇺 Australia · Aengus Tran

Series CAI HealthcareEst. 2018

Valuation

N/A

Total Funding

$129M

68
Awaira Score68/100

100-500 employees

Full Harrison.ai Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Butterfly Network and Harrison.ai compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. Butterfly Network produces the Butterfly iQ, a handheld ultrasound device powered by a proprietary semiconductor chip that replaces traditional piezoelectric transducer arrays with a single silicon chip capable of whole-body imaging. Harrison.

Butterfly Network carries a known valuation of $1.5B, while Harrison.ai's valuation has not been publicly disclosed. On the funding side, Butterfly Network has raised $700M in total — $571M more than Harrison.ai's $129M.

Butterfly Network has 7 years more market experience, having been founded in 2011 compared to Harrison.ai's 2018 founding. In terms of growth stage, Butterfly Network is at Public while Harrison.ai is at Series C — a meaningful difference for investors evaluating risk and upside.

Butterfly Network operates out of 🇺🇸 United States while Harrison.ai is based in 🇦🇺 Australia, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Butterfly Network leads with a score of 85, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricButterfly NetworkHarrison.ai
💰Valuation
$1.5B
N/A
📈Total Funding
$700MWINS
$129M
📅Founded
2011
2018WINS
🚀Stage
Public
Series C
👥Employees
500-1000
100-500
🌍Country
United States
Australia
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
85WINS
68

Key Differences

📈

Funding gap: Butterfly Network has raised $571M more ($700M vs $129M)

📅

Market experience: Butterfly Network has 7 years more (founded 2011 vs 2018)

🚀

Growth stage: Butterfly Network is at Public vs Harrison.ai at Series C

👥

Team size: Butterfly Network has 500-1000 employees vs Harrison.ai's 100-500

🌍

Market base: 🇺🇸 Butterfly Network (United States) vs 🇦🇺 Harrison.ai (Australia)

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: Butterfly Network scores 85/100 vs Harrison.ai's 68/100

Which Should You Choose?

Use these signals to make the right call

B

Choose Butterfly Network if…

Top Pick
  • Higher Awaira Score — 85/100 vs 68/100
  • More established by valuation ($1.5B)
  • Stronger investor backing — raised $700M
  • More market experience — founded in 2011
  • United States-based for regional compliance or proximity
  • Butterfly Network produces the Butterfly iQ, a handheld ultrasound device powered by a proprietary semiconductor chip that replaces traditional piezoelectric transducer arrays with a single silicon chip capable of whole-body imaging
H

Choose Harrison.ai if…

  • Australia-based for regional compliance or proximity
  • Harrison

Users Also Compare

FAQ — Butterfly Network vs Harrison.ai

Is Butterfly Network bigger than Harrison.ai?
Butterfly Network has a disclosed valuation of $1.5B, while Harrison.ai's valuation is not publicly available, making a direct size comparison difficult. Butterfly Network employs 500-1000 people.
Which company raised more funding — Butterfly Network or Harrison.ai?
Butterfly Network has raised more in total funding at $700M, compared to Harrison.ai's $129M — a gap of $571M.
Which company has a higher Awaira Score?
Butterfly Network holds the higher Awaira Score at 85/100, compared to Harrison.ai's 68/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 17-point gap that reflects meaningful differences in scale or traction.
Who founded Butterfly Network vs Harrison.ai?
Butterfly Network was founded by John Martin in 2011. Harrison.ai was founded by Aengus Tran in 2018. Visit each company's profile on Awaira for a full founder biography.
What does Butterfly Network do vs Harrison.ai?
Butterfly Network: Butterfly Network produces the Butterfly iQ, a handheld ultrasound device powered by a proprietary semiconductor chip that replaces traditional piezoelectric transducer arrays with a single silicon chip capable of whole-body imaging. The AI software layer provides real-time image interpretation guidance, enabling clinicians with limited ultrasound training to perform diagnostic scans at the bedside.\n\nThe company is publicly traded on the NYSE under the ticker BFLY and raised over 700 million USD prior to and through its public listing. Butterfly has deployed devices across hospitals, emergency rooms, and point-of-care settings in over 50 countries, with particular penetration in resource-limited healthcare settings where traditional ultrasound equipment is prohibitively expensive or unavailable.\n\nPortable AI-assisted diagnostic imaging represents a structural shift in how and where medical imaging is performed. Butterfly Network has created a defensible position through its proprietary chip architecture, which competitors cannot easily replicate, and through its growing library of AI-assisted clinical guidance tools. The transition from hospital-based imaging to point-of-care diagnostics powered by AI guidance is a multi-decade trend that positions Butterfly at the center of a fundamental change in diagnostic medicine. Harrison.ai: Harrison.ai develops AI radiology and pathology analysis software for clinical deployment, building FDA-cleared and TGA-registered algorithms for chest X-ray abnormality detection, CT pulmonary angiography analysis, and mammography screening under its Annalise.ai product brand. The Sydney company focuses on AI clinical decision support that helps radiologists prioritise worklists, detect abnormalities, and reduce reporting errors in high-volume radiology departments.\n\nThe company raised approximately $129 million including a Series C from investors including Blackbird Ventures, Skip Capital, and Telstra Ventures. Harrison.ai has deployed its Annalise.ai platform across Australian hospital networks and has received US FDA clearance for its chest X-ray AI product, enabling international commercial expansion beyond Australia. The company has published clinical validation studies demonstrating AI performance that is non-inferior to specialist radiologist reads on chest X-ray abnormality detection across multiple institutions.\n\nHarrison.ai competes in the AI radiology market against Aidoc, Lunit, Qure.ai, and Behold.ai, which all target radiologist workflow assistance and clinical alerting. The Australian healthcare market provides a strong home base given the National Health Service framework and centrally coordinated radiology procurement, while FDA clearance opens the substantially larger US radiology AI market. The company is considered one of Australia most promising medical AI companies and a flagship for the Australian healthcare technology ecosystem.
Which company was founded first?
Butterfly Network was founded first in 2011, giving it 7 years of additional market experience. Harrison.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?
Butterfly Network has approximately 500-1000 employees, while Harrison.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 Butterfly Network and Harrison.ai competitors?
Yes, Butterfly Network and Harrison.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.