JamLabs Data Science
JamLabs Data Science provides data science, cloud engineering, and product advisory services, specializing in monetizing data and building data-driven applications. Their platform, jShop, enables clients to monetize data through online stores and offers extensive integration with major cloud platforms.
Services
JamLabs Data Science offers a diverse range of services that include data science, cloud engineering, and product advisory. These services extend to monetizing data, transforming complex infrastructure, and building data-driven applications. The company leverages its extensive experience in capital markets trading, technology, and quantitative analytics to provide actionable insights.
Products
JamLabs Data Science offers a flagship platform called jShop, designed to help companies monetize their data. jShop enables clients to launch online white-labeled stores and monetize their data efficiently. The platform includes adapters for quick catalog loading from major systems such as AWS, Snowflake, and Databricks. It also enables various license models for billing based on gigabyte access or specific data slices.
jShop Platform
The jShop platform by JamLabs Data Science allows for easy onboarding and minimal customer friction. It includes features like full Google Analytics integration for customer engagement insights, customized data libraries, and an easy trial-to-buying experience. The platform is designed to simplify data engineering tasks and allows for faster deployment of stores, reducing the time to market significantly.
Expertise
JamLabs Data Science possesses deep expertise in various technical and thematic areas such as data architecture, mathematics, capital markets trading, exchanges, transportation, telecommunications, and neural nets. Additionally, the company has adept skills in applying statistical methods, building machine learning algorithms, and creating insightful visualizations to deliver actionable analytics.
Partnerships
JamLabs Data Science has partnered with RoZetta Technology to meet the demand for data science, analytics, and managed data services. This collaboration aims to extend services to financial market participants, banks, data vendors, producers of data exhaust, exchanges, and buy-side firms. This partnership enhances the company's ability to address confidentiality issues related to new data products and provides extensive market coverage.