Nostics


Nostics is a medical diagnostics startup that combines photonics and AI to rapidly identify pathogen signatures, aiming to enable quality healthcare through rapid diagnosis. Their technology is based on Nobel-prize winning Raman spectroscopy, advanced nanotechnology, and AI, providing actionable diagnostic results at the point-of-care to ensure the right treatment at the right time. They focus on making diagnostics accessible for everyone, everywhere, and are involved in various applications including pathogen identification and antimicrobial resistance combat.

Industries

health-care
health-diagnostics
laser
medical-device
nanotechnology
semiconductor

Nr. of Employees

small (1-50)

Nostics

Amsterdam, Noord-Holland, The Netherlands, Europe


Products

Spectroscopy-based point-of-care diagnostic platform

An instrument combining Raman spectroscopy, nanotechnology and AI to detect and identify bacteria and other pathogens rapidly at the point-of-care, intended to deliver results comparable to laboratory methods within minutes.

Culture-plate (colony) spectral analysis proof-of-concept

A technology proof-point using spectral measurements of bacterial colonies on culture plates to validate detection and classification methods before moving to direct-sample workflows.

Direct UTI identification application

A lead clinical application focused on immediate identification of urinary tract infection pathogens at the point-of-care to enable targeted antibiotic prescribing during the patient visit.


Services

Collaborative research and demonstrations

Partnerships and demonstrations to evaluate and validate spectroscopy + AI methods for pathogen identification and to explore joint development or pilots.

Investor and partnership engagement

Engagement channel for investors and organisations interested in funding or strategic partnerships related to diagnostic platform development.

Expertise Areas

  • Point-of-care diagnostics
  • Pathogen identification and spectral fingerprinting
  • Spectroscopy-based analytical methods
  • AI and machine learning for diagnostic classification
  • Show More (4)

Key Technologies

  • Raman spectroscopy
  • Nanotechnology-based signal enhancement
  • Machine learning (foundation models)
  • Few-shot learning
  • Show More (3)

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