Our first step is data collection. We use existing data from your company, or collect data by observing with cameras, microphones or sensors. The hardware is usually managed by the company itself or a hardware partner, we give advice.
The next step is that collected data must be structured. Our data scientists prepare the data for the next phase through labeling, feature extraction, structuring and preparation, among others.
Step three is understanding structured data. Our AI engineers do this by training AI models and algorithms to understand the data and let them draw conclusions independently. We are using computer vision, machine learning, deep learning or neural networks, for example.
Finally, we link automated actions to these conclusions through software integrations, or present them in a clear dashboard. In many cases, our software developers create these links or dashboards.
