Case Study: Altana achieves 20x faster ML deployment and up to 50% better performance with Databricks

Solving global trade challenges across the supply chain

Altana, the value chain management company focused on making global trade more transparent and reliable, needed a better way to manage large amounts of data and multiple machine learning workflows across different customer use cases. Before working with Databricks, Altana spent too much time building boilerplate tools for GenAI applications instead of improving product functionality, while also trying to balance vendor lock-in, security, and deployment needs.

Using Databricks Mosaic AI, Altana streamlined its ML lifecycle, improved collaboration across teams, and increased operational efficiency. With Databricks, the company was able to deploy models 20 times faster and achieve up to 50% better performance, helping it deliver customer-specific innovations more quickly.

Altana

Ian Cadieu

Chief Technology Officer