Meet the founders
Two people, one shared frustration, and a product that came out of it. Here's who we are and why we started Tarsius.
Every company has a story. Ours starts with a simple observation we both kept running into, in different places, in different roles: knowledge inside companies disappears constantly, and nobody does anything about it.
People leave. Processes change. The person who knew exactly how something worked moves on, and the next hire spends weeks reconstructing what should have taken days to learn.
We kept seeing it. We kept finding it frustrating. And we eventually decided to do something about it.
Onni
I’m currently finishing my B.Sc. in Industrial Engineering and Management at the University of Vaasa. Alongside my studies, I work at Hitachi and spend whatever time is left on machine learning research and applications.
The recurring theme in almost everything I’ve worked on is the gap between what organisations know and what they’ve actually written down. Operational knowledge lives in people’s heads, in informal conversations, in habits that nobody ever documented. When someone leaves, a chunk of that knowledge walks out with them.
We started thinking seriously about how AI could close that gap — not by replacing people, but by making it dramatically easier to capture what they know before it’s gone.
Aaro
I’m Aaro, and the idea for Luod4’s Tarsius really came from seeing a recurring headache in the industry. During my time in SCADA engineering at Hitachi, it became clear how much time is lost when technical knowledge is stuck in the heads of a few experts rather than being easily accessible.
I’m currently studying Industrial Engineering at the University of Vaasa, and I’ve spent a lot of my recent work focusing on how we can use AI to bridge that gap securely. My mission with our product, Tarsius, is to help companies capture that ‘hidden’ expertise and keep it 100% local, so domain experts can focus on innovating rather than repeating the same instructions.
Why Tarsius
We didn’t start with a product idea. We started with the problem.
After enough conversations with people in operations, HR, and engineering teams, the shape of a solution became clear: let people document processes the way they actually work — by doing them, on camera — and let AI handle the rest.
The name comes from the tarsier, a small primate with eyes proportionally larger than any other mammal. It sees everything. That felt right for a tool whose whole purpose is to make invisible knowledge visible.
We’re early. The product is young. But the problem is real, the demand is there, and we’re building this with the kind of care that tends to produce things people actually use.
If you’re curious, book a demo — we’d genuinely love to show you what it does.