A recap of analytica 2026, where NXT Spectra showcased AI-powered GC-MS data interpretation and exchanged insights with laboratories on the future of analytical workflows.
Analytica 2026 in Munich was a valuable opportunity for NXT Spectra to meet laboratories, partners, researchers, and experts working with GC-MS data every day.
The conversations at our booth showed once again how relevant efficient data interpretation, unknown compound identification, and AI-powered structure elucidation have become in modern analytical workflows.
Watch our short recap video to get a few impressions from analytica 2026 and our conversations around AI-powered GC-MS data interpretation.
One topic came up again and again: how can complex GC-MS data be evaluated faster and more confidently?
Many laboratories work with complex samples, overlapping signals, incomplete reference data, and unknown compounds that are difficult to identify with classical spectral libraries alone.
These discussions confirmed what continues to guide our work at NXT Spectra: GC-MS analysis is powerful, but interpreting complex data still requires time, expertise, and careful decision-making.
At our booth, we demonstrated how NXT Spectra supports automated structure elucidation and AI-powered GC-MS data interpretation.
The focus was not only on technology, but also on practical laboratory needs:
The feedback we received showed that these challenges are highly relevant across research, routine analysis, quality control, environmental analytics, food and flavor chemistry, pharmaceuticals, and fine chemicals.
For us, the most valuable part of analytica was hearing directly from people who face these analytical challenges in their daily work.
Their questions, feedback, and use cases help us better understand where NXT Spectra can create real value: by supporting analytical expertise.
Especially in workflows where manual evaluation is time-consuming or spectral libraries reach their limits, AI-powered analysis can help make GC-MS workflows faster,
clearer, and more transparent.
We would like to thank everyone who visited our booth, shared insights, asked questions, and discussed the future of GC-MS data analysis with us.
Analytica 2026 was more than an opportunity to present NXT Spectra. It was a chance to listen, learn, and better understand how laboratories are approaching the next
phase of GC-MS data interpretation.
--> building software that helps make analytical workflows faster, clearer, and more insightful
