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.
They knew where to look. They knew what to ignore. They carried history other people did not have. They had learned what a good answer looked like and could usually tell when something felt off before they could fully 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 dramatically 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, grounded in what a company knows and how its best people work.
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 our first attempt to make that expertise available continuously.
It keeps the market current, remembers what changed, keeps the evidence, and can use repeatable Skills when the job 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.