Born out of the hate forBad Cold Email
Cold email is a waste of everyone's time.
Senders do repetitive work. Prospects read bad emails.
We exist to do outbound right.
10M+ Emails Sent in 2025|3% Reply Rate|16% Click Rate|7x More Meetings than Average|40+ B2B clients
The Story
Sent my first cold email at 13.Sent 20M emails by 20.
I sent 275 cold emails at 13 to land my first freelance client.
I hired my first team at Smart Course by sending cold emails. By 16 that eLearning platform had 50,000 students.
Got my first mentor with a cold Twitter DM. First 8 ads agency clients with cold email. Some of those prospects became friends. Some became business partners to this day.
At 17, I tried to scale outbound the old way - built an SDR team of 8, got 60 calls a month, hated every minute of it.
So I fired 7 of them, learnt enough Python to ship an MVP in 2 weeks, and started booking 200 calls a month.
That became Ken AI.
The Why and the Way
Outbound is broken.
Standard lead gen agency playbook: grab a list from Apollo, throw a ChatGPT-written email, send with Instantly, hope something sticks.
Software tools give you a dashboard and a thousand settings to figure out. Good luck.
When everyone uses the same tools and playbook, everyone gets the same results.
The Ken Way
Cold email has always been a trade-off between scale, relevance, cost, and personalization. Pick two, lose two.
The Ken Way is how we do all of them at once.
GTM engineers take care of relevance and personalization.The engine takes care of scale and cost.
It evolves together every day, because the same team owns both.
We built something“crazy”, “impossible”, “overkill”
“you’re trying too much”
“just send more emails”
“don’t bother, too hard”
“just buy Clay”
Our Own Servers
Not Gmail. Not Outlook. Our own infrastructure on dedicated IPs. We replicated Gmail’s spam algorithm to scan every email before it sends. If it would hit spam, it gets rewritten automatically. Your primary domain is never involved.
Pipeline grows with Great Emails.
Book a 30-min strategy call with Cristian. You will see the backend, the data, and the cases are closest to your ICP. If it is not the right fit, we will tell you what else to try.
