Our Services

Your models are sitting in notebooks. We get them running in the real world. Coreio handles the messy infrastructure stuff so you can focus on the algorithms that matter. We've spent years watching teams struggle with deployment, monitoring, and that awful moment when production breaks at 2 AM. That's where we come in.

Each service is delivered by experienced professionals, with a clear plan and a satisfaction focus.

✓ Learn More From $3,200

API Integration

We take your trained models and make them actually useful. Docker containers, Kubernetes, whatever your setup needs—we handle it. Your models go live, stay live, and don't mysteriously break. Plus we set up the pipelines so new versions deploy without anyone sweating.

Containerization with Docker and container registries
Kubernetes orchestration and cluster management
CI/CD pipelines specifically built for ML workflows
Blue-green deployments to kill the rollback nightmare

From $3,200

✓ Learn More From $2,150

24/7 Support

Dead models are worse than no models. We set up monitoring that catches drift, performance degradation, and weird input distributions before they tank your accuracy. Real dashboards. Real alerts. No more guessing if things are working.

Data drift detection across your feature sets
Performance metric tracking and anomaly alerts
Custom dashboards built for your exact use case
Explainability reports for model behavior audits

From $2,150

✓ Learn More From $4,800

Security Audits

Garbage in, garbage out—right? We build robust pipelines that validate, transform, and version your data. Your models get clean inputs. Your infrastructure scales. Your data scientists stop fighting with infrastructure and actually do science.

ETL/ELT pipeline architecture and implementation
Data versioning and lineage tracking
Quality checks and validation frameworks
Scalable storage solutions with proper governance

✓ Ideal for From $1,900

Platform Development

Stop losing track of which hyperparameters gave you that 89% accuracy. We implement systems where every experiment is logged, every model is versioned, and you can actually reproduce results from 3 months ago. It's almost boring how organized you'll become.

Experiment metadata capture and comparison tools
Model versioning with provenance tracking
Hyperparameter management and optimization
Integration with your existing ML frameworks

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Cloud Deployment

Building from scratch? We design the whole thing. Whether it's cloud-native AWS, on-prem Kubernetes, or something in between, we architect systems that actually scale. Your team won't inherit a mess in 18 months.

Cloud infrastructure design (AWS, GCP, Azure)
Self-hosted cluster setup and configuration
Resource optimization and cost monitoring
Security, compliance, and access controls

✓ Our Services From $2,600

Training & Onboarding

Best infrastructure means nothing if your team doesn't know how to use it. We run workshops, code reviews, and architecture sessions. You'll walk away actually understanding this stuff—not just nodding along.

Hands-on MLOps workshops for engineering teams
Code review and architecture consultation
Best practices documentation specific to your setup
Knowledge transfer sessions with your engineers

From $2,600