Useful expertise has always been hard to spread.
I’ve spent more than twenty years building software companies, including Crazy Egg and KISSmetrics.
Across companies, teams, and products, I kept seeing the same pattern.
A small number of people would get unusually good at important work.
The people doing that work knew where to look and what to ignore. They carried history the rest of the company did not have. They knew what a good answer looked like and could often tell when something was off before they could explain why.
The company benefited when those people were involved.
Everyone else got a weaker version.
AI made that gap easier to see.
The best AI work usually comes from people who know how to give the model the right context, the right method, useful examples, and a real quality bar.
Once someone figures that out, the work can become meaningfully better.
It still tends to stay with the person who figured it out.
That is the part I keep coming back to.
LMTY exists to make expertise more reusable.
We build AI Experts for go-to-market teams around the context, methods, memory, and quality bar the work requires.
An Expert has more than a title.
It has a domain it is responsible for. Context it can use. Memory. Skills. Routines. Evidence. A way to tell whether the work was good.
We started with Market Analyst.
Companies need to understand the market around their products all the time.
Pricing changes. Competitors move. New products launch. Positioning drifts. Customer expectations change.
Very few companies can dedicate someone to understanding all of that continuously.
So the work gets split across founders, product marketers, sales, product, leadership, and whoever has time to look.
Market Analyst is the first Expert we built to make that expertise available continuously.
It keeps the market current, remembers what changed, keeps the evidence, and can use repeatable skills as the work changes.
We want to build Experts from real work.
We are not interested in creating a large catalog of AI job titles for the sake of it.
If your company has valuable work that someone already knows how to do unusually well, tell us about the work.
We will start there.