Assistants on your own documents
They answer from your contracts, quotes and procedures, and show the source. They do not invent, and when they do not know, they say so.
Custom AI
AI built on your company,
with or without hardware
Not a subscription to a generic chatbot. Systems that read your documents, answer from your own procedures and, where it matters, run on a machine inside your building so the data never leaves.
contract-2026.pdf
sursa: pag. 4
What it includes
Data pulled out of documents
Invoices, delivery notes, orders and email enquiries turned into structured data, ready for your system. Nobody retypes them.
Vision on cameras and sensors
Counting, plate reading, missing protective equipment, alerts when something is off. It runs on a device on site, not in the cloud.
Hardware, if you need it
We choose, buy and install the inference machine, the cameras or the sensors. You get it working, not as a parts list.
It can run on your premises
Models that sit on your own server. The data does not reach OpenAI, us, or anyone else.
A human check where it counts
We automate what is safe and leave the confirmation to a person wherever a mistake costs money.
How it works
What keeps repeating
We spend a day watching what your team does by hand and pick the one thing that pays for itself fastest.
A trial on your data
We build a small version on your real documents. You see the result before investing in the whole thing.
Build and hardware
We put the workflow into production and, if needed, install and configure the equipment.
Handover and tuning
We train your people, watch the results for the first few weeks and adjust what does not fit.
What it costs
We start with one small thing that pays for itself, then grow from there. The first trial on your data is quoted separately and deducted from the project if we carry on.
Request a free assessmentWhat drives the price
- How many workflows are involved and how many decisions each one makes
- Whether the models run in the cloud or on a machine at your place
- Whether hardware is needed: inference server, cameras, sensors
- Monthly volume of documents, messages or images
- How clean and reachable your starting data is
Frequently asked questions
Does our data go to OpenAI?
Only if you choose that. We can run models locally, on a machine in your own building, in which case nothing leaves your network. That is also why we handle the hardware ourselves.
What happens when it gets something wrong?
Every workflow has a verification step and a full log: you see what it did, when, and which document it relied on. Where a mistake costs money, the decision stays with a person.
Do we need expensive hardware?
It depends. Many document workflows run on an ordinary machine. Camera vision needs a dedicated device, but one that costs several times less than a long-running cloud subscription.
Let us see if we are a fit
A 30-minute conversation, no strings attached. If it is not our line of work, we will say so and point you to someone else.
Get a quote