Companies we've worked with
You already use Claude and ChatGPT. We build the AI that knows your business and owns a real job inside it: marketing, sales, planning, operations, the website. Whatever is holding you back.
Companies we've worked with
Generic AI is brilliant and blank. It doesn't know your products, your customers, your numbers, or what good looks like for you.
An AI employee starts where generic AI stops.
Your products, customers, numbers, suppliers, returns, the last six months of decisions, the things you tried and the things you killed.
Reviews, support chats, Meta dashboards, website performance, Slack, WhatsApp, the founder's voice notes, last quarter's planning doc. Anything you want it to read.
Customer voice, monthly planning, ad decisions, website work, inventory thinking, reporting. Not a clever demo. A specific job you'd otherwise hire someone for.
The first week is decent. By month three, it knows the business better than your last agency did. Like any good hire.
That's what we mean by an AI employee. Not a chatbot you prompt, but a hire that knows your business and does a job in it.
Not every company needs the same AI employee. The first one depends on the job your team most needs help with.
Reads reviews, chats, comments, complaints, calls, and return reasons.
Finds what customers keep repeating, what they are confused by, what they love, what is breaking trust, and what your team should act on next.
So marketing, business, and CX align faster.
Looks across sales, spend, launches, inventory, customer feedback, last month's experiments.
Answers questions like what changed, why it changed, what moved, what broke, and what to look at next.
Team takes faster, better decisions and hits goals.
Looks at ads, spend, sales, products, landing pages, and what the team did last week.
Tells you what to push, pause, fix, or test before you throw more money at the same problem.
Don't increase spend on a broken machine.
Plans, writes, reviews, and ships website work.
SEO, AEO, CRO experiments, landing pages, product pages, campaign pages, bundles, copy fixes, and all the small changes that keep getting postponed.
Faster experiments, more revenue.
Turns founder thoughts, leadership docs, Slack threads, WhatsApp discussions, voice notes, and old decisions into memory the team can use.
So when someone asks, "why did we kill that idea?", the answer is one question away.
Your team stops starting from zero.
These are examples. Yours may look different. The name matters less than the job.
End to end. We do the heavy part with you, and hand your team something they actually use.
What you wish AI could do inside your business.
The actual work hiding behind the wish.
Your data, docs, context and the way your team works.
The AI employee, shaped around that one job.
Your tasks and your edge cases, not demos.
Onboard your team, then you run and expand it from there.
The value isn't in a tool. It's in making AI actually work inside your company, on your data, your rules, your examples, your review loops. That's the work, and that's what you pay for.
We sit with your business and find the jobs worth handing to AI, and the one worth doing first.
We build, train, test and deploy the first employee, end to end, and hand it to your team.
We keep it sharp as your business changes, and stand up the next employee when you're ready.
This isn't a cheap monthly tool you bolt on and forget. We're for companies ready to give AI a real job.
For the first time, I'm not the bottleneck. The website list that used to sit for weeks now ships in hours, I can ask anything about the business and get a real, data-backed answer in minutes instead of guessing, and we're finally showing up when customers ask AI what luggage to buy. It's handed me back real time and lifted a huge load off the team. Honestly, it feels like having an elite team right beside me.
Not a chatbot you prompt. A hire that knows your business and owns one real job, end to end, trained on your data, your context, and your way of working.
Generic AI is brilliant and blank. It doesn't know your products, customers, numbers or past decisions. We build that knowledge in, around a specific job, and deploy it so your team uses it without learning anything new.
Time with the people who do the job today, and access to the data, docs and examples it runs on. The building, training and testing is on us.
With one wish. We run an opportunity sprint, pick the job worth doing first, and build that employee. You expand from there, where it works.
That's your call. AI is leverage, not a verdict. Some teams use it to multiply their existing team's output. Some grow without hiring more people. Some replace work they were paying an agency for and weren't getting back enough in return. All three are valid. Our job is to make sure the leverage is real.
Setup-first: you pay for the work of making AI real in your company, not a per-seat tool. We size it to the job after the first conversation.
We'll tell you if it can be done, and build it if it should.
Bring us one AI wish