AI infrastructure services
We deploy ML models to production and make sure they stay up. CI/CD for your models, monitoring for drift, and alerts for when things break.
AI/ML Deployment & Infrastructure
We set up model serving infrastructure with GPU optimization, auto-scaling, and CI/CD pipelines for your ML models. Cloud-native AI deployment on Kubernetes — from notebook to production.
Tech Stack
How We Engage
MLOps & AI Reliability
We set up monitoring for your models, detection for drift, and alerts for when things break. Automated retraining pipelines with SLA-driven reliability.
Tech Stack
How We Engage
Custom AI Agents & Tooling
AI-powered SRE agents for incident detection and auto-remediation. RAG-based internal knowledge systems, custom LLM integrations, and tooling that makes your team more productive.
Tech Stack
How We Engage
How we work
A proven process that gets AI systems to production — fast and reliably.
Audit
We assess your current AI infrastructure and identify reliability gaps, bottlenecks, and quick wins.
Architect
We design a production-grade AI infrastructure tailored to your scale, budget, and team capabilities.
Implement
We build, deploy, and test everything. You get working infrastructure, not a slide deck.
Operate
We monitor, optimize, and continuously improve. Your AI systems stay reliable as you scale.
Flexible pricing
Every project is different. Pick the model that fits your pace.
Ready to make your AI production-ready?
Get a free 30-minute AI infrastructure audit. We'll assess your setup and give you a concrete action plan.