
Training your own models vs. integrating AI: what your business needs
It helps to tell apart two services that are often sold under the same name. The first is training your own machine learning models: it requires large volumes of labeled historical data, data science profiles and months of work, and it makes sense for very specific problems, such as forecasting demand from years of sales history.
The second is integrating already-trained models (Claude, GPT and similar) into software built for your process. It solves most of the real needs of a small or mid-sized company (reading, classifying, summarizing, answering) in weeks instead of months, and without needing prior historical data.
Pivoti Labs specializes in the second: AI working inside your processes, delivered as software your team uses every day.




