AI products break in ways traditional SaaS does not: GPU cost spikes, silent model-serving failures, unpredictable request loads. We build the reliability layer for AI products – observability for AI workloads, per-user rate limiting, autoscaling that respects GPU economics, and CI/CD for ML-adjacent services.
Proof
ApplyOK scaled its AI infrastructure with full workload visibility at 99.97% uptime and faster deployments. Our AI Infrastructure Score is the fastest way to see where you stand.
Typical engagements
- Production-readiness for AI launches
- Observability stacks: logging, tracing and error budgets for model endpoints
- Cloud cost control for GPU workloads
- SOC 2 foundations for AI companies selling to enterprise
Book a free 30-min infra review → Or start with the 7-Day Audit ($4,500 fixed)
No obligation. You meet your engineer before anything begins.