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BreastScreening-AI company logo
Leverage AI to accurately diagnose breast cancer11-50 Employees
  • Recently funded
    Raised funding in the past six months
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BreastScreening-AI careers

Leverage AI to accurately diagnose breast cancer
SensiPerception is a healthcare AI company developing the BreastScreening-AI project, an initiative focused on improving breast imaging workflows through trustworthy artificial intelligence, human-centered design, and clinical decision support. Our mission is to help healthcare professionals make more informed decisions by combining advanced AI techniques with medical imaging expertise, explainability, and rigorous validation. We believe AI should augment clinical practice, support healthcare professionals, and improve patient outcomes while preserving transparency, accountability, and human oversight.

The BreastScreening-AI project brings together expertise in artificial intelligence, medical imaging, biomedical engineering, human-computer interaction, software engineering, and healthcare innovation. Our work spans the full innovation lifecycle, from research and data governance to clinical validation, regulatory readiness, and commercialization.

We collaborate with clinicians, researchers, hospitals, industry partners, and innovation ecosystems to develop solutions that address real-world healthcare challenges. Our activities include AI-assisted breast imaging, multimodal medical imaging analysis, human-AI collaboration, explainable AI, workflow optimization, and healthcare innovation.

We are committed to building technologies that are scientifically rigorous, clinically meaningful, and designed to create measurable impact in healthcare. By combining innovation, research, and entrepreneurship, we aim to help shape the future of trustworthy AI in medical imaging.

Join us as we advance the BreastScreening-AI project and contribute to the next generation of healthcare technologies!
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Francisco Maria Calisto
Avatar for Francisco Maria Calisto
Founder @SnapJob, @oppr
Valuation

$5M

Funded over

1 round

Latest round

Seed (Jul 2026)

image

Future growth participation

Flexible hybrid work

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