What we automate
AI Model Training & Deployment
Small vision and decision models fine-tuned on your data and packaged for the hardware you already run, with no cloud dependency.
We train task-specific models on your own images, documents and operational history, then quantise and deploy them to your edge devices and on-site servers, so inference happens next to the camera, the machine or the scanner.
Updates are validated hardware-in-the-loop before rollout, and the AI Security Gateway controls what, if anything, is routed to larger models.
How we support you
How we work with you in AI Model Training & Deployment
Click a step to see what happens in it.
Step 1: You bring
Your data & target devices
You bring your images, documents, logs and the devices the model should run on.
- Your images, documents and logs
- Operational history
- Acceptance criteria
- Target edge devices and servers
Where it runs: Your edge devices and on-site servers
What you can earn
The numbers behind AI Model Training & Deployment
What the research shows
Technical reportThe LoRA Land report fine-tuned 310 small models on 31 tasks. They beat GPT-4 by 10 points on average and on 25 of 31 tasks, cost about USD 8 each to train and all ran on one GPU.
Example: Company processing 200,000 documents a month
- Large cloud model, PLN 0.15 per document
- PLN 360,000 a year
- Own small model, server or rented GPU
- PLN 60,000 a year
- Our fee over 3 years
- PLN 371,000
Gain per year
PLN 300,000
Result after 3 years
+PLN 529,000
Payback
9.1 months
Not counted: your data never leaves your company. At low volumes this does not pay as a separate project.
The example uses our assumptions, not your data. We recalculate it on your numbers in the audit. Our fee: PLN 155,000 one-off and PLN 72,000 a year, see pricing. Payback assumes the full gain from the first month. Sources: LoRA Land.
See it on your own data
We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.
Request MVP