Helpers where the work is.
In our own platforms the helper sits inside the job page, the quote and the calendar. Staff do not switch screens to ask it something.
Applied AI
AI that works inside your business, not next to it.
We do not sell a chat window. We put helpers inside the tools your staff already use, give them search across your own documents, and run it on hardware you control.
Your own search.
Keyword search plus embedding search, in one engine, running on your own server. Your documents are not sent to an outside search service.
We test before we pick.
On real customer and staff questions, a smaller model gave the same answers at about one sixteenth of the cost of a larger one. We run that test on your questions before we commit you to a bill.
On your own hardware if you want it.
For very small businesses we build a machine that runs the model in the building. Nothing leaves.
What it costs.
We show you what each helper costs before you turn it on, and we pick the smallest model that does the job.
Where it does not belong.
Not every job needs AI. If a plain rule or a short checklist does the job, we build that instead and say so.
Where it runs
On a server we built, or on one we build for you.
Our own tests, search engine and builds run on the studio server: an AMD EPYC 9374F with 32 cores, 503 GB of memory and about 9 TB of NVMe storage. A shop does not need that. A shop needs a mini PC under the counter that does one job well, and we build that too.
Step 1
Your questions
We collect the questions your staff and customers really ask.
Step 2
The test
We run them through more than one model and compare the answers and the cost.
Step 3
The setup
The winner goes inside your tools, on your server or your machine, with a clear cost before it is switched on.
Bring us the questions your staff ask every day.
That list is where every AI project of ours starts.