57M+ ARR · 1M+ Users
PRODUCT SYSTEMS · MEASURED RESULTS
"Across marketplace, revenue, and product teams, the job was simple: understand the workflow, find the constraint, ship the fix, and measure the result."
We build one real AI workflow in your cloud. Your team owns the code, tests, logs, and handoff guide from day one.
Pick one workflow. Build it in your stack. Hand it to your owner with proof it works.
We review your AI ideas, the workflow behind them, the data, and the metric that proves value. You leave with a priority order, a build plan, and a working prototype.
The plan stays too broad to ship.
Before code starts, we agree on what done means. We also confirm access, data owners, security needs, and the person who will own the system after handoff.
The demo looks good, but no one can launch it.
We build the real workflow inside your cloud and current systems. The code, prompts, quality tests, logs, alerts, and handoff guide ship with it.
You get a thin demo that breaks in daily use.
We watch the system, fix issues, tune outputs, and keep the record current while your team sees what ownership takes.
The system ships, usage fades, and people go back to manual work.
Your owner gets the source code, prompts, tests, logs, and guide. If you want more builds, we keep going as your AI build team.
You depend on a vendor or inherit code your team cannot run.
I'm Felipe Telles. I run Ego Eimi, a U.S. build studio. Our work has helped client teams pass 57M+ in annual recurring revenue. Before this, I led four founder-built companies and exited two.
I built this for founders who promised AI and now need it shipped. The idea is in the plan. The team is busy. The board, customers, or partners still expect proof.
The problem is not ambition. It is ownership. Someone has to choose the first workflow, build it, prove it works, and hand it to the person who will run it.
I also use AI to run Ego Eimi itself. One internal system reads customer and contractor messages, shows me project status and blockers, and drafts the next message I should send.
Another system turns public records and Google Places data into clean lead lists. It checks the data, scores fit, and exports outreach-ready files without scraping private or gated data.
The goal is not to look AI-native. The goal is to ship one AI system your team can own.
We bring the build team, work inside your cloud, and leave you with the code, prompts, quality tests, logs, and handoff guide.
I review every fit call, build scope, and handoff. No account manager handoff.
Past product work, founder work, and the same AI process behind this offer.
"Across marketplace, revenue, and product teams, the job was simple: understand the workflow, find the constraint, ship the fix, and measure the result."
"I know the pressure from the founder side. The useful partner is not the one with the best deck. It is the one who helps you show real proof."
"We use AI inside our own studio to speed up research, specs, QA, and delivery work. The studio building your AI should run on it too."
These are not slide-deck examples. They are internal systems we use to run delivery and find markets.
This system reads customer and contractor messages from email and Google Chat, then keeps a live view of every active project. It tracks status, blockers, decisions, and next steps, and drafts the messages that keep delivery moving.
This pipeline turns public records and Google Places data into a clean, scored lead list. The Phoenix home-services run processed 1,922 records, rejected weak matches, flagged bad phone data, and exported outreach-ready files.
We build one real AI workflow for your company.
We choose the best first workflow, test it, build it in your cloud, add quality checks and logs, then hand it to the person on your team who will own it.
Apply if you have an AI workflow to ship, no team to build it, and one owner who can help us get access fast.