Cortex integration & automation experts

What you can automate with Cortex

Cortex is an open-source platform for deploying, managing, and scaling machine learning models in production. It handles the infrastructure complexity of serving ML models as APIs, so data teams can focus on building rather than wrestling with Kubernetes configs and autoscaling policies. Organisations use Cortex when they need reliable, low-latency predictions from trained models without dedicating engineering resources to infrastructure management. Common use cases include real-time recommendation engines, fraud detection pipelines, and natural language processing services that need to scale with demand. At Osher, we connect Cortex deployments into broader automation workflows. A typical integration might route incoming data through preprocessing steps, send it to a Cortex-hosted model for inference, then push predictions into downstream systems like CRMs, dashboards, or alerting tools. Our AI agent development team builds these end-to-end pipelines so your ML models actually deliver business value rather than sitting idle in a notebook. We handle the full setup: configuring model endpoints, setting up monitoring for prediction drift, and building the data plumbing that connects your models to the rest of your tech stack.