About Swissmapper
Grounded in physics. Advancing with AI.
Swissmapper is an Empa spin-off bringing high-throughput experimentation and AI together, guided by the scientific method. We connect precise measurements, reproducible analysis, and new computational tools to help researchers test ideas, understand materials, and build on evidence in the age of AI.
Our origins · Empa spin-off
From materials research to discovery at scale.
Our roots at Empa shape a practical ambition: make it easier to understand how materials behave, at the scale modern research demands. AI needs reliable experimental data. We bring hardware, software, and analysis together to generate that data at high throughput while preserving the scientific context that makes it useful.
Swissmapper automates complementary measurements in one system, so labs can explore more samples and material combinations with less manual work. Every measurement stays linked to its sample, conditions, and results. That gives your team structured datasets for machine learning and scientific interpretation, and lets you revisit experiments as new AI models and analysis methods emerge.
Let’s build better experiments.
Working on a materials challenge? We welcome conversations with research groups, industrial labs, and partners who want to connect measurement with discovery.