MARCOS
MARCOS: The Model Factory for Macroeconomic AI
The world’s first end-to-end platform for building, validating, and deploying macroeconomic time-series models. Purpose-built for economic time series, MARCOS automates data ingestion, model development, validation, and deployment so institutions can industrialise their macro forecasting.
Data Ingestion & Curation
Model Factory
Delivery & Governance
WHAT IT DOES
Data scraping, structuring and curation
Automated pipelines for:
- Macro datasets
- Alternative datasets
- Revision tracking
- PIT transformations
- Metadata governance
Proprietary Time Series AI engine
Includes:
- Specialized temporal AI models
- Automated hyperparameter tuning
- Backtesting & walk-forward validation
- Performance governance & auditing
Visual dashboards; role-based access
- Role-based access
- Approval workflows
- Visual dashboards
- API deployment endpoints
WHY IT MATTERS
Creates AI-ready datasets and ensures reproducibility
High accuracy and minimal human bias
Trusted forecasts and client self-serve models
Why MARCOS Is Unique
Built entirely for economic time-series
Cannot be reproduced by general-purpose LLMs
Integrates directly with data feeds and forecast products
Enables client self-serve model development
Technical Details
Zero Infrastructure
No internal model or infrastructure building or maintenance needed.
Data Delivery
Web portal, AWS Cloud Bucket, API, Snowflake integration, MCP
Compliance
All data, its access, and its usage is compliant with industry standards.
Zero Infrastructure
No internal model or infrastructure building or maintenance needed.
Data Delivery
Web portal, AWS Cloud Bucket, API, Snowflake integration
Compliance
All data, its access, and its usage is compliant with industry standards.