Skopos Labs, a legal and financial data provider, has successfully integrated Elasticsearch and Elastic Cloud into its machine learning platform to analyze extensive datasets and forecast government policies' impacts on industries. Initially a startup with limited resources, Skopos Labs chose Elasticsearch for its developer-friendly, scalable full-text search capabilities, which facilitated handling semi-structured data and supported their rapid growth. Opting for Elasticsearch Service on Elastic Cloud over self-managed solutions on AWS or Google Cloud allowed the company to focus development efforts on product delivery without heavy DevOps investment. The service's features, including custom plugins and machine learning capabilities, have been crucial to their operations, as demonstrated when the snapshot feature rescued them from a data mishap. Over time, Skopos Labs has expanded Elasticsearch's use from a primary data store to roles in logging and anomaly detection, enhancing quality assurance. Engaging with the Elastic community, Skopos Labs remains confident in Elasticsearch's ability to support their evolving data needs and customer demands, as they plan for future expansions and features.