Time-efficient approach

Instead of relying on time-consuming manual feature engineering, model selection, and batch learning, BaseModel technology automates feature and model selection, adapts to new data in real time, and enhances accuracy.

BaseModel's advanced feature engineering, representation learning and automated training eliminates the need for manual pipeline creation and model input crafting. Compared to traditional methods, it means faster training, less labeled data, and superior performance.

Quick adoption

With its easy connectivity, clear requirements, and flexible implementation, BaseModel delivers value at speed. In fact, the process from initial setup to training downstream models can be reduced to just 5 days, showcasing the efficiency and agility of the solution.

Flexible Deployment Options

Our application offers flexibility in deployment, catering to different environments and user preferences. You can make use of BaseModel utilizing either of the following methods:

1. Docker Image
   We provide a Docker image that allows you to easily run the application in any environment that supports Docker. This method is ideal for users who prefer containerized applications, as it ensures consistency across different platforms.
   Key Benefits:
   Portability: The Docker image can be deployed on any platform that supports Docker
   Full Environment: The Docker image includes a complete environment with all necessary dependencies, libraries, and configurations. This ensures that the application runs as expected without compatibility issues, regardless of the underlying system.
   Data Source Flexibility: Your data can reside in various locations, as our application comes with built-in connectors to most major data solutions. Our connectors allow seamless integration, enabling you to access and manage your data directly within the Dockerized application.

Quick Start: Using BaseModel Docker Image

2. Snowflake Container Services
   Our application can also be deployed using Snowflake Container Services, providing the benefits of containerization within the Snowflake ecosystem.

Quick Start: Snowpark Container Service Integration

3. Native App on Snowflake
   For users who are leveraging the Snowflake data platform, our application will also be available soon as a native application within Snowflake. This deployment option allows you to seamlessly integrate the application with your Snowflake environment, taking advantage of Snowflake's data processing capabilities.
   Key Benefits:
   Direct Integration: The native Snowflake application can interact directly with your Snowflake data warehouse
   Simplified Management: Deploying the application as a native app on Snowflake reduces the need for managing separate infrastructure, as everything runs within the Snowflake environment.

Quick Start: in progress