MLOps for Trading
Productionization + Model Governance
Our models bridge the gap from local research environments to live production instantly through our resilient MLOps infrastructure. Continuous Integration and Continuous Deployment (CI/CD) pipelines explicitly tailor-made for quantitative strategies automate the recalibration and validation of machine learning weights. Live inference servers are strictly governed by immutable audit trails, ensuring flawless compliance reporting and safeguarding against unexpected edge-case extrapolations.
Key Competencies:
- Fully automated CI/CD for model recalibration, backtest parity checking, and deployment.
- Real-time telemetry for monitoring concept drift, feature importance decay, and anomalies.
- Immutable blockchain-inspired audit trails for transparent compliance and strategy governance.