Ready to grow your business without hiring your way through it?
Most service businesses grow by hiring. DearTech-OS is the operating layer your AI runs on, built on how your business actually works, so your team handles more without you hiring to keep up.
- Grow without piling on headcount or admin
- Your team handles more, using the AI tools they already have
- The business stops depending on you and a few key people
Our current cohort is full. Join the waitlist to be next.
Who it's for
Service businesses that grow by hiring, and feel it
For service businesses past 30 people, where every new client means more admin and more people managing people. Whoever feels it most:
Founder
Everything routes back through you and a few key people, and you cannot see how to grow without it just getting heavier.
Operations director
Delivery leans on the same senior people for every answer and sign-off, so it wobbles the moment one of them is out.
Finance director
Headcount is the biggest line, and your best-paid people spend the day on admin instead of the work that grows the business.
Sound familiar?
The signs the business still runs through a few key people
Your best people are the bottleneck
Every answer, approval, and client relationship runs through the same few senior people, so nothing moves when they are busy or out.
AI wins that never spread
Your team has AI tools, but the wins live in individual chats and never spread, so the same lessons get re-learned across the team.
Admin grows every time you do
Every new client adds more coordination and more admin, and it lands on the founder and the team both, crowding out the work that grows the business.
Knowledge walks out the door
When a key person leaves, how things actually get done, and half the client context, leaves with them.
Growth means hiring
The only lever you know for taking on more is adding people, so growth keeps eating the margin it was supposed to create.
These are the patterns we see first when we map how a company actually runs.
How it fits
Your own private instance, in the tools you already use
Your own instance
A dedicated, isolated DearTech-OS instance, hosted and run by us (self-hosting on request). Your data is walled off from everyone else's.
Any AI tool
Claude, ChatGPT, Cursor, Slack, and future agents query the same knowledge base through MCP. No new tool for your team to learn.
Yours to keep
Your knowledge lives in portable markdown files you own, in your own repository. Leave any vendor any time and it comes with you.
Before and after
What changes when the business stops depending on a few key people
Before
- Every answer runs through you and a few key people
- Client context lives in inboxes and a few heads, so no one sees the full picture
- Every new hire and new client means re-explaining how things work
- AI gives generic answers because it doesn't know your business
- Taking on more work means taking on more people
After
- Anyone gets the answer without interrupting the people who hold it
- The full picture of any client is there for whoever picks it up
- New people get up to speed from the shared knowledge on day one
- AI answers from your own business, so your team can trust it
- The team handles more clients without you hiring to keep up
Use Cases
Where it pays off, day to day
AI tools
Your AI tools start cold, so a good answer means pasting in the same background about your business every time.
Your team's AI answers from your business straight away, so no one has to re-explain it first.
Client context
Who you've spoken to, what was agreed, and where an account stands lives in inboxes and a few people's heads.
Anyone can pull the full picture of a client in seconds, without tracking down whoever dealt with them.
Onboarding
New hires and stand-ins learn how things work by interrupting the people who already know.
They get up to speed from day one, without pulling your senior people off their own work.
AI workflows
The automations you build on generic AI miss how your business actually runs, so they need constant babysitting.
Build them on your own business knowledge, so they hold up without someone watching over them.
How It Works
<your-company>-OS, powered by DearTech-OS
We stand up your own instance, connect it to the AI tools your team already uses, and get your knowledge in. You own it.
We stand up your instance
Your own isolated DearTech-OS instance, hosted and operated by us, with Google sign-in for your team and your data walled off from everyone else's. Self-hosting on request.
Connect the tools you already use
Claude, ChatGPT, Cursor, Slack, and other agents query it through MCP, so your team gets shared context without changing how they work.
Get your knowledge in
We map how your business actually runs into your knowledge base, and it keeps taking in new information as you work, so it gets sharper instead of going stale.
You own it
It's all yours in portable markdown, in your own GitHub repo, with role-aware access and a maintenance rhythm so it stays useful after we hand over.
What You Get
- A live DearTech-OS instance your team uses from day one
- Shared context across the AI tools you already use
- Keeps itself accurate and up to date, on its own
- Role-aware access for your whole team, via Google sign-in
- Your knowledge in portable markdown you own
The Approach
Built to keep working after we hand it over
DearTech-OS is the operating layer your AI runs on. Your own instance that keeps getting sharper as your team uses it, so it stays useful long after we hand it over.
Your own isolated instance
Every business gets a dedicated instance. Your data is never mixed with anyone else's, and it's yours to keep.
Works through your existing tools
Your team's shared knowledge shows up inside Claude, ChatGPT, Cursor, and Slack over MCP, so everyone uses it without learning a new app.
It stays current on its own
It keeps taking in new information on its own and clears out anything stale or contradictory, so it gets sharper the more you use it.
Grow without hiring your way through it
In a short call we'll map where your business knowledge lives, find the first slice worth putting in, and show what your own DearTech-OS instance could look like.