Taking the lead in AI-powered financial research

We didn't start Midas because we thought the world needed another finance tool.

We started it because, after years of working with investors, we kept seeing the same thing play out.

Smart people, with strong judgement, spending most of their time not thinking, but managing tools. Jumping between terminals, spreadsheets, PDFs, notes. Rebuilding the same context, over and over again.

Not because they wanted to. Because that was the only way the tools worked.

At some point, that stops being a tooling problem and starts being a structural one.

The industry has spent decades optimising for access to information. More data, faster feeds, broader coverage.

But very little has changed in how that information is actually processed.

AI changes that. Not in the way it's often presented, as a chatbot bolted onto existing workflows, but more fundamentally.

It gives us a chance to rethink the system entirely.

Our view is simple.

"You shouldn't have to adapt your workflow to the tool. The tool should adapt to you."

It should understand what you own, what you care about, and why. It should track what's changing. It should surface what matters. And it should do that continuously, without you having to ask.

Not as a feature. As the default.

That's what we're building with Midas.

A single environment for investment research that adapts to each investor, rather than forcing every investor into the same shape.

We're still early. There's a lot to get right.

But the goal is clear.