Machine Learning

MLOps & Model Governance

Getting a model to work in a notebook is the easy part. Making it reliable in production, keeping it accurate over time, and satisfying audit requirements for how it makes decisions is where most ML programs struggle. We build the operational infrastructure that makes ML sustainable at scale.

10x

Faster Model Deployment

99.5%

Model Serving Uptime

40%

Reduction in Model Drift Incidents

What We Deliver

MLOps & Model Governance Services

Practical, production-ready work — not proofs of concept that never make it to real users.

ML Pipeline Automation

Automated training, evaluation, and deployment pipelines triggered by data changes or scheduled retraining cycles.

Model Registry & Versioning

Centralized model registry with version control, lineage tracking, and promotion workflows from staging to production.

Model Monitoring

Data drift detection, prediction distribution monitoring, and performance degradation alerting for production models.

Model Governance

Documentation standards, bias testing, explainability tooling, and audit trails to satisfy regulatory and internal review requirements.

How We Engage

Common Engagements

01

ML Platform Build

End-to-end MLOps platform for an organization that needs to manage dozens of models across multiple teams.

02

Model Monitoring Setup

Drift detection and alerting for existing production models that have no current observability.

03

Regulatory Compliance

Model documentation and governance framework for a financial institution subject to model risk management requirements.

04

Retraining Automation

Automated pipeline that retrains a fraud detection or recommendation model weekly on new data with quality gates.

Why InnovTen

What You Can Count On

  • Models deployed in hours rather than weeks through automated pipelines
  • Drift alerts catch degradation before it impacts business outcomes
  • Full lineage from training data to production prediction for auditability
  • Rollback capability for every model version without downtime
  • Governance documentation that satisfies GDPR, FCRA, and internal review boards

Technologies We Use

MLflow Kubeflow Weights & Biases Great Expectations Evidently AI Seldon BentoML Airflow

Ready to Get Started?

Tell us about your project and we'll put together a practical path forward.

Talk to Our Team