
aitiologic GmbH is an Austrian precision medicine startup focused on developing AI-powered solutions for early disease detection and targeted therapy. The company leverages patented multi-omics technology originally invented at Siemens Healthineers to decode health at the molecular level, understanding the root causes of health and disease. Supported by Austrian research and promotional agencies, aitiologic collaborates with global diagnostics companies to advance its applications. Their business model centers on innovative AI-driven diagnostics in precision medicine, aiming to transform early disease detection and personalized treatment strategies.

aitiologic GmbH is an Austrian precision medicine startup focused on developing AI-powered solutions for early disease detection and targeted therapy. The company leverages patented multi-omics technology originally invented at Siemens Healthineers to decode health at the molecular level, understanding the root causes of health and disease. Supported by Austrian research and promotional agencies, aitiologic collaborates with global diagnostics companies to advance its applications. Their business model centers on innovative AI-driven diagnostics in precision medicine, aiming to transform early disease detection and personalized treatment strategies.
Founded: 2023
Headquarters: Vienna, Austria (Vienna BioCenter)
Product: aitios® AI-powered liquid biopsy platform analyzing cfDNA for early disease detection and tissue-of-origin
Tech / IP: Patented multi-omics cfDNA technology licensed from Siemens Healthineers
Recent funding: €2.5M+ announced Oct 1, 2024 (mix of grants and early-stage investment)
Early disease detection and precision diagnostics using cfDNA analysis.
2023
Biotechnology
€2.5M+
Funding package comprised a mix of non-dilutive grants and early-stage investments; supporters include Austria Wirtschaftsservice (aws) and the Austrian Research Promotion Agency (FFG).
“Backed by a mix of venture investors (PUSH VC, LANA Ventures) and public grant supporters (aws, FFG)”