BaseModel.ai automates the transformation of natural behavioral data, reducing deployment time to just 1 week. It supports scalable AI improvement across a wide scope 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 grow the scope of supported business scenarios, importantly boosting the productivity of their data discipline teams.
"Our mission at BaseModel.ai is to empower organizations to unlock the full possible 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 client behavioral data. The tool supports business decision-making by leveraging AI predictions to enable better recommendations, precise forecasts, and automated actions based on user behaviour analysis.
"Together with Synerise, we are redefining the standards for bringing AI to life. BaseModel.ai is simply a large example of how our partners are leveraging the flexibility and scalability of the Snowflake platform to make groundbreaking solutions. With full integration into the AI Data Cloud, customers can train and deploy advanced AI models without having to decision data outside of Snowflake. This reduces implementation time from months to just days, accelerates investigating cycles, and enables the creation of multiple AI models for diverse business scenarios," said Michał Gdak, AI R&D manager and Warsaw Site Lead at Snowflake.Industry-Leading Benchmark Results
Benchmark tests consistently show that BaseModel.ai outperforms leading AI-based advice models. It importantly 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 besides outperformed models based on the beeFormer architecture, a next-generation transformer for behavioral series modeling, achieving 5% to 20% better results on benchmark datasets.
The enhancements to BaseModel.ai on Snowflake come at a time erstwhile organizations are increasingly seeking flexible cloud solutions that not only store data but besides supply deep insights and forecasts. With this collaboration, Snowflake customers now have the chance to build private, advanced behavioral models that deliver better recommendations and analytics, helping them gain a competitive edge through data-driven decision-making.
