Synerise has launched the latest version of BaseModel.ai, a tool designed to work with behavioral data, now available on Snowflake Marketplace. This collaboration enables users to access advanced behavioral modeling, delivering personalized customer experiences through precise predictions.
BaseModel.ai automates the transformation of raw behavioral data, reducing deployment time to just one week. It supports scalable AI development across a wide range of business scenarios, while ensuring full data privacy and compliance within the customer's Snowflake environment.
The tool operates within the Snowpark Container Services environment, offering full compatibility with the Snowflake ecosystem and access to high-performance GPU-based computing resources without latency or additional data transfer costs. As a result, organizations can train models at scale on large datasets and expand the range of supported business scenarios, significantly boosting the productivity of their data science teams.
"Our mission at BaseModel.ai is to empower organizations to unlock the full potential of their data with the right tools" - said Jack Dąbrowski, Chief AI Officer at Synerise. "By bringing our innovation to Snowflake, we enable companies to harness the power of behavioral data to make faster and more accurate data-driven decisions, with full compliance and security," he added.
BaseModel.ai is applicable across many industries including retail, e-commerce, telecommunications, and finance, as well as any organization with access to customer behavioral data. The tool supports business decision-making by leveraging AI predictions to enable better recommendations, precise forecasts, and automated actions based on user behavior analysis.
"Together with Synerise, we are redefining the standards for bringing AI to life. BaseModel.ai is a great example of how our partners are leveraging the flexibility and scalability of the Snowflake platform to create groundbreaking solutions. With full integration into the AI Data Cloud, customers can train and deploy advanced AI models without having to move data outside of Snowflake. This reduces implementation time from months to just days, accelerates testing cycles, and enables the creation of multiple AI models for diverse business scenarios," said Michał Gdak, AI R&D Director and Warsaw Site Lead at Snowflake.
Benchmark tests consistently show that BaseModel.ai outperforms leading AI-based recommendation models. It significantly surpassed Meta AI’s HSTU model, achieving accuracy improvements ranging from +55.5% to +292.4%. Compared to DeepMind’s TIGER, it delivered gains of +24.26% to +61.57%, further solidifying its leadership in behavioral AI. BaseModel.ai also outperformed models based on the beeFormer architecture, a next-generation transformer for behavioral sequence modeling, achieving 5% to 20% better results on benchmark datasets.
The enhancements to BaseModel.ai on Snowflake come at a time when organizations are increasingly seeking flexible cloud solutions that not only store data but also provide deep insights and forecasts. With this collaboration, Snowflake customers now have the opportunity to build private, advanced behavioral models that deliver better recommendations and analytics, helping them gain a competitive edge through data-driven decision-making.