About BaseModel

BaseModel is a private foundation model platform designed to transform raw behavioral data into high-quality, predictive insights—quickly, securely, and at scale.

It empowers data science teams to build advanced models for tasks like personalized recommendations, churn prediction, or customer spend forecasting, all without the need for extensive manual feature engineering or prolonged development cycles.

Why BaseModel?

In the realm of AI, data science teams often grapple with the challenge of balancing data quantity, quality, and speed to derive actionable insights. Traditional machine learning approaches often struggle with the complexity and scale of behavioral data, leading to time-consuming processes and limited scalability. BaseModel was created to address these challenges by providing a scalable, efficient, and automated solution for modeling behavioral data.

Key Benefits

Exceptional Predictive Power: BaseModel rivals top global AI systems by combining proprietary universal behavioral profiling with a foundation model trained on large-scale behavioral data. It consistently outperforms traditional and expert-built specialist models in accuracy and performance.
Workflow Efficiency: By automating feature creation and maintenance, BaseModel reduces manual processes, allowing data science teams to focus on strategic activities like decision-making and hypothesis testing.
Comprehensive Data Utilization: BaseModel seamlessly integrates and interprets information across diverse data sources and modalities, ensuring that all available data contributes to model performance
Rapid Deployment: With flexible connectivity and configuration options, BaseModel enables quick model development and minimizes the need for custom projects, reducing time from idea to results to just one week.
Explainability: BaseModel provides detailed insights into predictions, identifying high-impact data sources, features, events and behavioral patterns, enhancing transparency and trust in model outputs.

How It Works?

BaseModel connects to your data sources and automatically detects column types and relationships to apply optimal feature extractors.
It utilizes proprietary algorithms, such as Cleora and emde, to generate behavioral profiles that capture complex entity relationships.
These profiles are then used to train foundational model capable of predicting events in your domain.
Downstream, it is then fine-tuned buidling scenario models tailored to ML problems best representing your specific business needs.

Deployment Options

BaseModel offers flexible deployment methods to suit various environments:

Container Image (Docker): Deployable on any platform supporting Docker, providing a complete environment with necessary dependencies.
GUI Application (Snowflake): Available as a native application within Snowflake, simplifying management and reducing infrastructure requirements.

For a deeper understanding of BaseModel's concepts and capabilities, explore the BaseModel Value Proposition in the Knowledge Base section.