Introducing the Nautilus Voyager™ Platform

We unveiled the Nautilus Voyager™ Platform at a magical event at US HUPO 2026! The Voyager Platform is designed to be your all-in-one system for proteomic analysis and consists of integrated reagents, fluidics, imaging, and ultra-dense nano-array flow cells enabling Iterative Mapping as well as cloud-based analysis of single-molecule data outputs. Click the link below to learn more about our magical unveiling event and meet the Nautilus Voyager Platform yourself!

New customers, collaborators and more!

While every month is a busy one at Nautilus, the last few months have been an absolute whirlwind with the unveiling of the Nautilus Voyager™ Platform, the launch of our Iterative Mapping Early Access Program, the initiation of a new collaboration, the announcement of our first customer, and the hiring of industry leader, Amber Faust, as our new Vice President of Global sales! Click the link below to learn more about each of these exciting new developments.

Revealing the proteomic landscape at US HUPO 2026

At US HUPO 2026, we joined Birgit Schiling, Professor and Director of the Mass Spectrometry Core at the Buck Institute for Research on Aging, to share the latest data generated using Iterative Mapping on the Nautilus Voyager™ Platform and invited attendees to generate their own single-molecule proteomic data by joining the Iterative Mapping Early Access Program. Discover how Iterative Mapping is already beginning to reveal insights into Alzheimer's disease in our blog post covering the conference.

We're coming to an event near you!

We're hitting the road to share novel data generated with Iterative Mapping and reveal how you can incorporate the Nautilus Voyager™ Platform into your workflows. Click the link below to find an up-to-date list of upcoming Nautilus events. If you'd like us to visit your organization, fill out the form at the bottom of the page, and a Nautilus representative will be in touch. We hope to see you soon!

Incorporate Iterative Mapping into your workflows