Who is Pixenon / AI Artificial Intelligence Solutions suitable for?
- Customer support and call center teams
- Legal, finance, and insurance units working heavily with documents and contracts
- E-commerce and content-producing marketing teams
- Quality control processes in manufacturing and logistics
- Internal software teams that accumulate data but cannot use it
What is examined within the scope of Pixenon / AI Artificial Intelligence Solutions?
Use case analysis
It is clarified which work will be automated with which output.
Data preparation
Data is collected, cleaned, and labeled for training and evaluation.
Model development
Ready-made model, fine-tuning, or custom training options are tested.
Integration
The model is connected to the existing application as an API or service.
Monitoring and maintenance
Live output quality and model drift are tracked regularly.
Which data and methods are used?
First, the existing process and data sources are examined; which data is in which format and how much of it is usable is determined. Then, model candidates are compared with a small validation set, and the selected approach is measured in real traffic. Results are reported with business metrics.
What do you get at the end of the work?
- Scenario and data suitability report
- Working model or API service
- Integration documentation
- Quality monitoring dashboard and evaluation set