Mentioned in 5 AI use cases across 5 industries
Aviva built a shared factory for machine learning so data scientists can build, test, approve, deploy, and monitor models in a repeatable way instead of doing manual setup each time.
All factory data is stored in one organized place so analysts and data scientists can train models, test them, and build reports from the same data.
After proving the setup on fraud, Zempler Bank started using the same secure AI foundation to automate and improve decisions in other parts of the bank.
This is like hiring a tireless analyst who reads every single customer review, survey response, and support comment across all your channels, then summarizes what people love, hate, and want you to fix in plain business language — directly inside your existing Databricks data platform.
Think of Orbitae AI as a smart control tower for an automotive company’s data. It connects to all your scattered data sources (production, sales, after‑sales, supply chain), lets managers ask questions in natural language, and then turns complex analytics into simple dashboards, forecasts, and recommendations to run the business better and faster.