FluidAI Medical


FluidAI is focused on data-driven surgical recovery, developing innovative solutions to improve patient outcomes through real-time data analysis, novel hardware, and AI-powered clinical decision support. Their mission is to re-imagine care by empowering healthcare providers with data-driven solutions, aiming to get patients home sooner and healthier. They collaborate with trusted partners and are advancing postoperative care with products like Stream™ Care and Origin™ platform, integrating real-time physiological data and AI analytics to support proactive, informed care. The company is committed to innovation, collaboration, and making a meaningful impact in the future of surgery.

Industries

artificial-intelligence
health-care
health-diagnostics
hospital-650c
medical
medical-device

Nr. of Employees

small (1-50)

FluidAI Medical

Kitchener, Ontario, Canada, North America


Products

Stream Care

A software platform that combines real-time bedside sensor measurements with electronic health record data to provide continuous, personalized risk assessments, dynamic visualization, and AI-driven clinical decision support for postoperative care.

Origin

A bedside sensor platform that performs continuous, real-time pH analysis of postoperative drainage fluid and reports results to a companion application for clinician review.


Services

Platform deployment and hospital integration

Onboarding, implementation and technical integration of the monitoring platform and bedside sensors into hospital workflows and EHR systems; includes demonstrations and partner engagements.

Clinical research and evidence generation services

Execution of pilot clinical trials, feasibility studies, poster and publication support to validate clinical performance and outcomes of monitoring solutions.

Pilot partnerships and collaborations

Partnership agreements for pilot deployments with health systems and clinical centers to evaluate platform performance in real-world settings.

Expertise Areas

  • Postoperative monitoring and surgical recovery
  • Clinical trial management and feasibility studies
  • Medical device hardware and sensor development
  • Predictive analytics and interpretable machine learning for healthcare
  • Show More (4)

Key Technologies

  • Continuous pH sensing
  • Bedside physiological sensors
  • Multimodal data fusion (sensor + EHR)
  • Machine learning for predictive risk assessment
  • Show More (4)

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