
Mindpeak builds AI-powered software that automates tissue diagnostics to speed and standardize cancer detection and biomarker quantification. It uses deep learning and medical-image analysis models deployed as clinical pathology software that integrates into existing laboratory workflows and diagnostics platforms. Products target pathology laboratories and clinical research institutions, automating repetitive tasks such as cell counting, biomarker scoring, and tumor classification. The company offers regulated diagnostic software (ISO 13485 certified) designed to improve reproducibility and support pathologists’ decision-making.

Mindpeak builds AI-powered software that automates tissue diagnostics to speed and standardize cancer detection and biomarker quantification. It uses deep learning and medical-image analysis models deployed as clinical pathology software that integrates into existing laboratory workflows and diagnostics platforms. Products target pathology laboratories and clinical research institutions, automating repetitive tasks such as cell counting, biomarker scoring, and tumor classification. The company offers regulated diagnostic software (ISO 13485 certified) designed to improve reproducibility and support pathologists’ decision-making.
What they do: AI-powered image analysis software for pathology to automate cancer detection and biomarker quantification
Founded: 2018
Headquarters / legal: Mindpeak GmbH, Hamburg
Recent funding: Series A announced Oct 2024 (~$15.3M)
Regulatory/certification: ISO 13485 certified (regulated diagnostic software)
Digital pathology and histopathology image analysis for cancer diagnostics and biomarker quantification.
2018
Biotechnology
15.3M
Series A announced October 2024 (reported amount $15.3M)
3M
Seed round announced September 2019
“ZEISS Ventures; IFB Innovationsstarter; AI.FUND; Nina Capital; APEX Ventures; Motu Ventures; European Innovation Council”
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Welcome to Mindpeak! We are a Hamburg-based startup democratizing cancer diagnostics with AI. Our cutting-edge technology enhances pathologists' ability to quickly and accurately identify cancer and is the first AI solution used in clinical histopathology in the U.S.
Job Title: Lead Machine Learning Engineer (m/f/d)
Location: Hamburg
Full-time
unspecified
As a Lead Machine Learning Engineer, you will be part of an interdisciplinary team and become a key driver in building highly accurate image analysis systems and machine learning models for the pathologists’ clinical routine.