Butterfly Network vs Predible Health

Butterfly Network has a disclosed valuation of $1.5B, while Predible Health's valuation is not publicly available, making a direct size comparison difficult. Butterfly Network employs 500-1000 people.

Butterfly Network has raised more in total funding at $700M, compared to Predible Health's $5M — a gap of $695M.

Butterfly Network holds the higher Awaira Score at 85/100, compared to Predible Health's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 35-point gap that reflects meaningful differences in scale or traction.

Butterfly Network was founded by John Martin in 2011. Predible Health was founded by Sanjoy Paul in 2017. Visit each company's profile on Awaira for a full founder biography.

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. Predible Health: Predible Health develops AI software for radiology and medical imaging analysis, with a focus on automated CT scan interpretation for lung nodule detection, COVID-19 assessment, and liver segmentation. The platform integrates with radiology information systems and PACS to provide AI-assisted second reads and quantitative measurements that reduce reporting time and flag critical findings for urgent review.\n\nThe company raised approximately $5M in Series A funding and has established clinical partnerships with hospital networks and diagnostic imaging centers across India. Predible Health received significant validation through its COVID-19 CT analysis tool, which was deployed during the pandemic to help overwhelmed radiology departments manage surge volumes.\n\nRadiology AI represents one of the most commercially mature segments of medical AI globally, with clear clinical workflows, measurable radiologist productivity benefits, and established reimbursement pathways emerging in developed markets. Predible Health's India-focused deployments position it as a domestic alternative to global radiology AI companies, with the advantage of deep integration knowledge in Indian hospital IT environments.

Butterfly Network was founded first in 2011, giving it 6 years of additional market experience. Predible Health was founded later in 2017. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Butterfly Network has approximately 500-1000 employees, while Predible Health has approximately 10-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Butterfly Network and Predible Health 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.