No model ships without passing the test — 85% fewer post-deployment rollbacks.
Model CI
Why It Matters
85% fewer post-deployment rollbacks
Regressions caught in the test pipeline never become production incidents — the difference between finding problems in CI and finding them in customer-facing fraud decisions.
Deployment gates, not deployment hopes
In most organizations the only release check is monitoring after the fact — automated test gates make quality a precondition, not a post-mortem finding.
The full test pyramid for ML
Unit tests on transformers, integration tests on inference APIs, regression tests on held-out sets — the same layered discipline that made software releases boring, applied to models.
The Cloudly Advantage
CI/CD service in product form
CodePipeline and GitHub Actions test automation is our core consultancy business — every ModelCI deployment is a CI/CD Implementation engagement by definition.
Complete release-safety story
ModelCI tests before deployment, CanaryShield protects during rollout, DriftShield watches after — end-to-end release risk coverage as one bundled pitch.
DevOps-mature buyer on-ramp
Clients who already trust CI/CD for software adopt the ML version with minimal persuasion — the shortest sales cycle for accounts with existing engineering discipline.
Rollback-reduction ROI
85% fewer rollbacks converts directly to incident costs avoided and team hours saved — a measurable number BD can anchor against the client's own rollback history.
MLflow Registry synergy
Shared MLflow foundations with ExperimentHub and HyperTune mean tested models flow through one registry — the integration story that makes the platform feel like one product.
The Final Takeaway
Governance evidence generator — Documented test results for every deployed model strengthen the audit trail our governance suite sells — quality proof that regulators and risk committees both accept.
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pytest-ml
Core to the ModelCI technology stack.
Great Expectations
Core to the ModelCI technology stack.
MLflow Model Registry
Core to the ModelCI technology stack.
AWS CodePipeline
Core to the ModelCI technology stack.