Funding
We are open to backing from people who have built something.
There is a real market for AI that never leaves the building, and today it is served either by consultancies billing by the hour or by vendors who want your data in their cloud. We are building the third option, and we are talking to angels and operators who want a stake in it.
Stage
Early, revenue-first
An engineering shop since 2017, now focused on private AI deployment. We are not raising a priced round off a deck. We are looking for one or two people who bring more than money.
Why this is a business
The demand is blocked, not absent
Healthcare, legal, finance, and the public sector all want the tools everyone else already has. Their own rules stop them. That is a queue of buyers with budget waiting for a version they are allowed to approve.
Open weights closed the quality gap
Search, drafting, triage, and internal Q&A run well on models you can host yourself. The reason to send sensitive data to a third party gets weaker with every release.
Deployment is the moat, not the model
Anyone can download weights. Getting a system past InfoSec, into a rack, wired to SharePoint, and still running a year later is the hard part, and it repeats across customers.
The economics are not per-token
Fixed deployment fees plus recurring support, on infrastructure the customer already paid for. Revenue does not evaporate when a model vendor cuts prices.
What money would buy
Reference hardware
Machines of our own to build, test, and demo on, so a prospect sees their own use case running before they buy anything.
The first two hires
A deployment engineer and an applied AI engineer, so we can run more than a handful of customers at a time.
Productising the stack
Turning what we install by hand into something installed the same way every time. That is the difference between a company and consulting.
Runway to sell properly
This sale is slow and relationship-led. Runway is what lets us work a pipeline that closes in quarters instead of chasing whatever pays this month.
How we would structure it
At this stage the cleanest instrument is usually a SAFE or a convertible loan: no valuation argument today, conversion at the first priced round, with a cap and discount agreed up front. Direct equity works too if you would rather own a defined percentage now. Given how this business earns, a revenue-based arrangement is also possible. We would rather hear what you want than argue for a structure on a web page.
Who we would like to hear from
- Operators who have sold into healthcare, legal, finance, or the public sector
- Founders who have taken an engineering shop into a product company
- Angels who know that enterprise sales cycles are measured in quarters
- Anyone running a company with this exact problem who would rather see it solved
- Instrument
- SAFE, convertible loan, or direct equity
- Cheque size
- Angel scale, discussed directly
- Involvement
- Welcome, not required
- Board seat
- Open to discuss at a priced round
Start a conversation
No deck and no data room link on a public page. Send a note and we will tell you where the business actually is, including the parts that are not working yet.