PG Medical Systems

Virtual Pain Expert

Health Tech & Life Sciences
Active
Seed Haifa, Israel Founded 2018
Last updated 2026-06-18
Total raised
Last: 2018-01
Stage
Seed
Founded
2018
Headcount
2
HQ
Haifa, Israel
Sector
Health Tech & Life Sciences

About

PG Medical Systems uses machine-learning algorithms to provide physicians with a virtual pain expert, allowing them to tailor their pain treatment and management for patients. PG Medical Systems aims for the system to bridge the gap in scaling pain-medicine practices, encompass a holistic approach to pain treatment and management, improve treatment outcomes, and lower the risk of addiction to prescription drugs. PG Medical Systems is a portfolio company of MindUp, a Haifa-based digital health incubator.

Funding history · 1 round · — total

2018-01
Undisclosed

Q&A

What is PG Medical Systems' primary focus?
PG Medical Systems focuses on providing physicians with a virtual pain expert using machine-learning algorithms to tailor pain treatment and management for patients.
When was PG Medical Systems founded?
PG Medical Systems was founded in January 2018.
How many employees does PG Medical Systems have?
PG Medical Systems has 1-10 employees.
Which sector does PG Medical Systems primarily operate in?
PG Medical Systems primarily operates in the Health Tech & Life Sciences sector.
What technologies does PG Medical Systems utilize?
PG Medical Systems utilizes Artificial Intelligence and Machine Learning technologies.
What is PG Medical Systems' current product stage?
PG Medical Systems is currently in the R&D product stage.
Who is an investor in PG Medical Systems?
MindUp invested in PG Medical Systems in January 2018.
What is PG Medical Systems' current funding stage?
PG Medical Systems is currently in the Seed funding stage.

Team · 2

Founder · CEO & Co-founder
LinkedIn ↗
Founder · Co-founder, President & CMO
LinkedIn ↗

Sectors & technology

Primary sector
Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Artificial IntelligenceMachine Learning
Target customers
Healthcare & Life SciencesHealthcareProviders
Business model
B2B

Highlights

Verified

Tags

diagnosticsdigital-healthcarealgorithmsdoctorsartificial-intelligencemachine-learningpersonalizationpain-relieftelehealth
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