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Mindpeak

Mindpeak develops AI-based diagnostic software that automates the detection, quantification, and classification of cancer biomarkers in histological tissue samples. This technology enhances the efficiency and accuracy of clinical pathology, enabling pathologists to focus on complex cases while reducing the time required for routine analyses.

Traction 10/10
Hamburg, Germany · HQ
Founded 2018343K+ followers
  • Artificial Intelligence
  • Digital Health
  • Healthcare Technology
  • Software Only
Updated 23 months ago

Funding

Raised to date

$20MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Felix Faber

Founder/CEO

Product

Problem

Pathologists face increasing workloads and complexity in cancer diagnostics, requiring efficient and accurate methods for biomarker evaluation and analysis of histological tissue samples. Traditional methods can be time-consuming and may not fully leverage the potential of digital pathology images.

Solution

Mindpeak provides AI-powered diagnostic software solutions that automate the detection, quantification, and classification of cancer biomarkers in histological tissue samples. These AI algorithms can be deeply integrated into existing partner software or accessed via Mindpeak's standalone AI console. The software aims to enhance the efficiency and accuracy of clinical pathology, enabling pathologists to focus on complex cases while reducing the time required for routine analyses. By offering 0-click AI solutions, Mindpeak streamlines the workflow, providing automated tumor identification and precalculation of relevant metrics.

Target Audience

The primary target audience includes pathologists, clinical laboratories, and pharmaceutical companies involved in clinical diagnostics, translational research, and clinical trials.

Features

  • AI-powered detection and quantification of biomarkers in various cancer types (breast, prostate, lung, gastric, urothelial, esophageal)
  • Automated tumor identification and segmentation
  • Stand-alone software module for automated image analysis of digital histopathology images
  • Integration capabilities with partner software for seamless workflow integration
  • Standalone AI console for uploading images or screenshots for AI analysis
  • 0-click AI solutions for ease of use and rapid results
  • Algorithms for detection of metastasis in lymph nodes and invasive breast cancer tissue
  • AI for detection of fungus hypha in nail samples
This profile is AI-generated and may contain inaccuracies.