The Problem

Your AI model works in the notebook. Getting it to production is another story.

Third-party AI APIs are convenient, but costs spiral as you scale. Data leaves your control. Outages at the provider become your outages. And you’re locked into someone else’s roadmap.

Self-hosting sounds great until you hit the complexity: GPU provisioning, model serving, scaling, monitoring—it’s a full-time job just keeping things running.

What MLOps Solves

Proper MLOps gives you control without chaos:

• Predictable costs: Your infrastructure, your hardware, your budget
• Data sovereignty: Sensitive data never leaves your environment
• Reliability: No dependency on external API uptime
• Performance: Optimize latency and throughput for your specific needs

You get the benefits of self-hosted AI without building an infrastructure team from scratch.

How We Help

We set up your AI infrastructure and make sure it stays running:

• Cloud Setup: Production deployment on AWS, Azure, Scaleway, or your preferred provider
• Infrastructure as Code: Terraform, Pulumi, CDK—reproducible, version-controlled infra
• Model Serving: Optimized vLLM, Lorax, or Triton configuration for your workloads
• Monitoring & Alerting: Know about problems before your users do

We build it, document it, and hand it over. Your team runs it.