AI Training Data
Fueling proprietary models with clean, time-series economic motion
Modernize your approach to predictive modeling. Stop wasting engineering time cleaning data, start training on verified economic motion signals.
Overcome feature engineering bottlenecks
Traditional data pipelines are plagued by inconsistent formatting and regional gaps, forcing data scientists to spend valuable time on data transformation instead of model iteration. DataSivio eliminates this lag by delivering production-ready features.
Streamline data pipeline ingestion:
We bypass the complex pre-processing phase by delivering data that is already normalized, structured, and cleanly labeled with timestamps, reducing the ETL burden on your engineering team.
Support continuous model retraining:
Our low-latency, API-first architecture ensures a steady, reliable flow of new signals, allowing your models to stay fresh and agile in response to rapidly changing market conditions.
Enhance cross-discipline feature sharing:
Promote consistent analytical standards by utilizing a unified set of features, such as the Company Trajectory Score, that are instantly recognized and trusted across data science, risk, and strategy teams.
Maximize feature utility across models:
Our data structure encourages the modular reuse of fundamental economic features (e.g., trade volumes, procurement intensity) across different proprietary models, ensuring data consistency and efficiency.
The DataSivio advantage
Traditional data pipelines are plagued by inconsistent formatting and regional gaps, forcing data scientists to spend valuable time on data transformation instead of model iteration. DataSivio eliminates this lag by delivering production-ready features.
Integrate verified time-series data
Access the Time-Series Studio, providing historical depth and consistency necessary for robust backtesting and training of complex forecasting models.
Maximize predictive alpha
Incorporate unique, non-public domain features, like real-time Sector Momentum and Risk Markers, to significantly boost model performance beyond what is achievable with generic data.
Optimize cloud compute resources
Our efficient data delivery minimizes the size and complexity of data being loaded and processed, leading to more cost-effective use of your cloud data warehouse.
Ensure data integrity
Access the Time-Series Studio, providing historical depth and consistency necessary for robust backtesting and training of complex forecasting models.
