Gradientech


Gradientech is a Swedish in vitro diagnostics company dedicated to supporting modern microbiology labs with cutting-edge solutions for time-critical samples, such as positive blood cultures. Their mission is to develop next-generation diagnostics that provide patients with the right treatment at the right time, supporting clinicians with precise MIC values in record time to improve patient outcomes and reduce healthcare costs and antibiotic resistance. Their vision is "Precision medicine, for a sustainable world." They develop innovative, high-quality, easy-to-use products, including the QuickMIC system, which offers ultra-rapid antibiotic susceptibility testing results in 2-4 hours. The company is committed to quality, sustainability, and advancing healthcare through innovative diagnostics.

Industries

biotechnology
health-care
health-diagnostics
medical
medical-device

Nr. of Employees

medium (51-250)

Gradientech

Uppsala, Uppsala Lan, Sweden, Europe


Products

Ultra-rapid AST instrument system

A compact diagnostic instrument platform and single-use test cassettes for rapid phenotypic antibiotic susceptibility testing that yields MIC values in approximately 2–4 hours directly from positive blood cultures.


Services

Clinical study coordination and validation

Coordination and execution of multicenter clinical and pre-clinical studies to generate evidence for regulatory approvals and clinical adoption.

Installation and implementation support

Field implementation, instrument installation and local evaluations with distributor partners at clinical sites.

Expertise Areas

  • Antibiotic susceptibility testing (phenotypic AST)
  • Clinical trial management for diagnostics (multicenter and regulatory studies)
  • Regulatory compliance for in vitro diagnostics (CE-IVD, IVDR, FDA interactions)
  • Microfluidics research and platform development
  • Show More (4)

Key Technologies

  • Phenotypic AST directly from blood cultures
  • Real-time microscopic/live imaging and image analysis
  • Microfluidic diagnostic platforms
  • Machine learning algorithms for resistance detection
  • Show More (3)

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