What is BaseModel?
BaseModel is a private foundation model platform that transforms raw behavioral data into predictive insights — quickly, securely, and at scale.
It empowers data science teams to build cutting-edge predictive models without manual feature engineering or long development cycles.
The Problem We Solve
Data science teams face growing complexity in modeling behavioral data at scale — slowing insights and limiting scalability. BaseModel changes this: train a foundation model once on your behavioral data, then adapt it to any prediction task in hours.
| Aspect | Traditional ML | BaseModel |
|---|---|---|
| Feature engineering | Weeks of manual work | Automatic learning from raw events |
| Time to first model | 2–3 months | Days to production |
| Adding a new task | Separate model, start from scratch | Define a target function, fine tune |
| Expertise required | Deep ML expertise across team | Domain knowledge is enough to define tasks |
Key Benefits
- Exceptional predictive power — Foundation model approach and universal behavioral profiling consistently outperform traditional and expert-built specialist models
- Comprehensive data utilization — Seamlessly integrates and interprets information across diverse data sources and modalities, ensuring all available data contributes to performance
- Rapid deployment — Flexible connectivity and configuration options let you go from idea to results in under a week
- Workflow efficiency — Automates feature creation and maintenance, freeing teams for strategic work
- Built-in explainability — Identifies prediction drivers: high-impact data sources, features, events, and behavioral patterns
Deployment Options
BaseModel runs entirely within your environment — your data never leaves your infrastructure.
| Option | Description |
|---|---|
| Python App (Docker) | Deployable on any platform supporting Docker, providing a complete environment with all dependencies |
| GUI Application (Snowflake) | Available as a native marketplace application, simplifying management and reducing infrastructure requirements |
Next Steps
- Use Cases — Explore what BaseModel can do across industries and prediction types
- How It Works — Understand the two-stage training pipeline behind BaseModel
- Key Concepts — Learn the core concepts: foundation model, scenario models, tasks, target functions, events, and attributes