Top 25 Spotlight – IvoryOS Technologies

Letting Scientists Be Scientists Again

In modern research, there is a frustrating paradox behind “automation”: it often creates more work than it saves.

When a chemistry or biology laboratory attempts to automate its experiments, scientists quickly find themselves drowned in a sea of fragmented software tools. Instead of focusing on breakthroughs in medicine, cleantech, or materials science, highly trained researchers spend their days writing custom glue-code, debugging fragile integrations, and troubleshooting hardware drivers. Ironically, scientific automation has created a parallel workload of software engineering that most research labs are simply not equipped to handle.

This digital bottleneck directly throttles the speed of global innovation. While “self-driving labs” (SDLs)—which pair artificial intelligence with robotic hardware to run autonomous loops—promise to speed up discoveries by a factor of ten, the technical complexity of the required software has kept these advanced tools locked behind the closed doors of a few elite, hyper-funded institutions.

IvoryOS Technologies is shifting this paradigm with an open-source, plug-and-play operating system that replaces messy scripting with an intuitive, visual framework. With a single line of code, scientists can wrap existing Python scripts and instantly generate a drag-and-drop workspace to design, execute, and track automated experiments. IvoryOS makes advanced lab automation accessible, scalable, and reproducible for any research team—democratizing the tools that will shape the next century of scientific discovery.

Standardizing the Future of Discovery

What They’ve Done: Since its first public release, IvoryOS has proven its value in both university and commercial labs. The software is already being used to run automated experiments on more than 20 active research platforms. The team has also secured a design partnership with an industrial research lab to help adapt their software for larger, commercial operations. This rapid early adoption proves that their system is flexible enough to work with all kinds of different laboratory hardware and setups.

Why NVBC: Advancing to the Top 25 in the 2026 New Ventures BC Competition, presented by Innovate BC, has provided a powerful stamp of validation. Mentor feedback has helped the team refine their messaging, shifting their positioning from a highly technical software tool to an essential, scalable infrastructure play. Additionally, the competition has plugged IvoryOS directly into BC’s life sciences network, opening doors to key regional partners and collaborators.

Up Next: The next 12 months are all about global growth, expanding their user community, and securing new industry partnerships. The team is building a library of pre-made templates and settings, making it easy for any lab to connect and automate its existing equipment right out of the box. Ultimately, they want to make IvoryOS the go-to foundation for self-driving labs, making autonomous research a plug-and-play reality worldwide.

When Software Gets in the Way of Science

For most chemists and biologists, learning a new programming language is a frustrating distraction from their actual research. They’re already balancing tight timelines, strict regulatory demands, and delicate physical samples—the last thing they need is to spend their afternoons troubleshooting software.

Yet, many tech-heavy startups fall into the trap of building incredibly complex, feature-heavy platforms that look impressive to software engineers but feel like a second job to the scientists using them.

By listening closely to frontline feedback, IvoryOS realized that the best technology is practically invisible. They focused on a “one-line-of-code” approach, ensuring scientists can plug in their existing work instantly without a massive software headache. This emphasis on simplicity has compressed experimental setup times from weeks of tedious coding to near-instant visual design, helping labs run their experiments twice as fast.