I didn't come from software.
I came from quality assurance, where I learned something that has stayed with me ever since.
Small inefficiencies don't stay small when they happen every day.
Later, when I started building my own business, I saw that lesson from a completely different angle.
I wasn't spending most of my time building. I was researching competitors. Planning content. Answering the same questions. By the end of the day, it felt like I'd been busy the whole time without moving the business forward.
"I've somehow become my own assistant."
The interesting part was that it wasn't just my problem. Whenever I spoke to small business owners — a clinic owner, a coach, someone running an online store — the details were different, but the pattern was the same.
Someone was replying to WhatsApp messages late at night. Someone else was booking appointments manually. Someone was sending the same follow-up over and over again.
None of them needed to work harder. They just needed less repetitive work.
That's what pulled me into learning AI. Not because I was chasing the latest technology. Because it looked like the most practical way to remove the kind of work that quietly eats away at a business owner's day.
So I started building. Some things worked. Some broke almost immediately. I rebuilt them anyway. Every project taught me a little more — not just about the technology, but about how businesses actually run behind the scenes.
That's how Nemora started. It's still early. I'm still learning. I'm still testing ideas. But the reason I'm building hasn't changed.
I want to help business owners spend less time buried in repetitive work and more time doing the work only they can do. Because technology shouldn't make running a business feel more complicated. It should quietly remove the things that never needed to be there in the first place.