
How Kasna bridges the gap
Businesses often struggle with the gap that exists between Data Science teams and the practical usability of their efforts. At Kasna, we understand that you need a fully deployed production-ready ML pipeline that’ll take care of:
- New data ingestion and preparation
- Feature engineering
- Model retraining
- Team collaboration in a shared environment
- Ongoing monitoring and maintenance
- Model drift course correction
- Visualisation and explainability of the model
- Accuracy tracking
- Code deployment and http endpoint creation
- Easy access to a wide range of data source, analytical tools, cloud services, and powerful BI layer that will engage end-users.