Analysing gene activity and other biomedical data with AI, without writing code
Omics datasets require specialised analysis pipelines, statistical expertise and reproducible workflows. Limited bioinformatics capacity leaves research teams waiting for results, while manual analysis steps make findings harder to compare and reproduce.
aimed analytics provides a no-code AI platform for biomedical research teams in pharma, biotech and academia. Researchers upload omics data, ask questions in plain language and explore analyses through interactive visualisations to guide further research.
What stands out about aimed analytics
Closed its first Seed round in September 2025 with a six-digit investment from proMetis Consulting and Pi-Holding.
Announced a collaboration with TME Pharma in January 2025 to apply AI and structural modelling to drug discovery.
The pre-incorporation founding project received a €130,000 EXIST start-up grant in 2022 for one year of support.
The University of Bonn identifies aimed analytics as its spin-off, following doctoral research at the LIMES Institute.
Co-founders Kevin Baßler and Patrick Günther hold relevant doctorates from Bonn; Günther also holds a doctorate from Melbourne.
The founding team won the University of Bonn's first university-wide ideas competition in 2021.
Co-founders Patrick Günther and Kevin Baßler participated in the DayOne Health 4.0 accelerator in Basel in 2024.
Company-published testimonials describe biomedical analysis use by researchers at DZNE and University Hospital Bonn.
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