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Our Process
We follow a structured yet flexible approach that aligns technology with your business goals. From in-depth discovery to seamless execution, every step is designed to deliver measurable impact. Our experts ensure transparency, collaboration, and innovation throughout the journey.
1
Current State Assessment
Map existing CI CD pipelines, branching strategy and model lifecycle maturity.
2
Strategy and Tooling Selection
Choose the right orchestration, testing and monitoring stack for scale and governance.
3
Automation and IaC Implementation
Implement pipelines, feature toggles, IaC modules and automated tests.
4
Model Training to Serve Pipeline
Automate training, validation, deployment and rollbacks for models.
5
Monitoring and Continuous Improvement
Set SLOs, observability and auto remediations for anomalies and regressions.
Success Story
Real results from our enterprise implementations.
Releases were risky and ML models drifted quickly leading to wrong recommendations and lost revenue.
The Challenge
Implemented end to end CI CD, automated canary releases and a model monitoring framework that triggered retraining.
Our Approach
Implemented end to end CI CD, automated canary releases and a model monitoring framework that triggered retraining.
End-to-end CI/CD implementation
Automated canary releases
Model monitoring framework
Impact & Results
5x
Release frequency increase
20%
Recommendation revenue increase
Automated
Model drift detection
"Release frequency increased five fold and recommendation driven revenue rose 20 percent."
— Client Representative