AI Service

Machine Learning Development for Production Systems

Production-grade machine learning development. Custom models, robust pipelines, and MLOps that keeps your ML systems running reliably.

Common Frustrations

ML models that work in notebooks but fail in production

No monitoring or maintenance strategy

Data pipelines that break silently

Model drift going undetected

No reproducibility or version control

We build for production from day one. Testing, monitoring, and reliability are not afterthoughts.

CI/CD for models, automated retraining, drift detection, and performance monitoring.

Data pipelines with validation, error handling, and observability built in.

Clean, documented, tested code that your team can understand and maintain.

Feature	Typical Alternative	Gebarski
Deployment	Notebook → production gap	Production-first development
Monitoring	Basic logging	Full observability stack
Maintenance	Manual intervention	Automated MLOps
Testing	Minimal	Comprehensive ML testing
Documentation	Often lacking	Handoff-ready docs

Production-grade AI solutions built by specialists, not generalists.

Air-gapped platforms with complete data control

Domain models trained on your data

Production-grade MLOps and RAG pipelines

Let's discuss how we can deliver the AI capabilities you need without the compromises.