Maatix didn't start with a pitch deck.
It started with a genuinely annoying afternoon in early 2024. Aleksi was trying to remember what had been decided in a series of AI-assisted brainstorming sessions from the previous month. The decisions were important. The context was completely gone.
He'd had them with ChatGPT. There was no memory. There was no way to search. The conversations were there, but they were unsearchable blobs of text.
He spent two hours reconstructing the context manually. Then he opened a doc and wrote: "There should be a better way."
The pattern became clear
Aleksi brought the problem to Emilia. She'd been experiencing exactly the same friction — not just with AI tools, but with the broader problem of losing context between working sessions.
They started asking around. Everyone they talked to had the same complaint. Developers, designers, founders, researchers — all losing context constantly and doing manual workarounds to compensate.
The conclusion was fast: this was a real problem, not a personal quirk. And nobody was solving it well.
Building for themselves first
The first version of Maatix was embarrassingly rough. A simple wrapper around an LLM with a vector database bolted on. It stored conversations and let you search them.
But it worked. And using it every day to solve a problem they personally had meant they understood, deeply, what mattered and what didn't.
That clarity drove everything that came after.