DeePathology.ai · raw details

AI-based Pathology Decision-support Platform · Ra'anana · Founded 2018

active Pre-Funding ← back to profile

Highlights

Profile claimed by owner

About

AI-based Pathology Decision-support Platform

DeePathology.ai develops a decision-support system for digital pathology using artificial-intelligence (AI) technology. The company's proprietary AI technology allows it to implement AI solutions for the digital pathology market quickly and accurately for problems such as helicobacter pylori detection in gastric biopsies, plaque detection in brain biopsies, and lymphocyte detection. DeePathology has cell-detection and tissue-segmentation solutions that allow pathologists and researchers to quickly and easily develop their own AI-based solutions in their own lab without becoming AI experts. DeePathlogy solutions are already in use in various locations in Europe where they are integrated into the workflow and routines of pathologists.

Identity

NameDeePathology.ai
Slugdeepathology-ai1
Type / kindstartup
Crunchbase IDdeepathology
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoOPI_NcIDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityRa'anana
HQ addressHaTidhar 5, Ra'anana, Israel

Web & social

Websitehttps://deepathology.ai/
Careers pagehttps://deepathology.ai/about-us/careers
LinkedInhttps://www.linkedin.com/company/12647012
Twitter / Xhttps://twitter.com/deepathology
Facebookhttps://www.facebook.com/deepathology
YouTubehttps://www.youtube.com/channel/UCvEDFpNbm1UChhDleMXkMTA

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Artificial IntelligenceMachine LearningComputer Vision
Target customers
Healthcare & Life SciencesHealthcareProviders
Business models
B2B
Tags
artificial-intelligencemachine-learningenterprise-softwaredeep-learningclinical-workflowcomputer-visiondigital-healthcaredecision-support

Funding

Total raised
Current stagePre-Funding

Raw source document

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