Solution
Ship AI your compliance officer can sign off.
From ML platform design to model serving — built around KVKK, GDPR, the EU AI Act and ISO controls. We help teams move past notebooks to production platforms engineered for the long run.
What we ship
What we actually ship.
Every AI Infrastructure engagement covers these pillars — scoped to your team's real starting point, not a template.
01
ML Platform Design
Reference architectures for MLOps — experiment tracking, model registry, feature stores, and reproducible pipelines. Picked for your stack, not a vendor's.
02
GPU Compute Orchestration
Multi-tenant GPU clusters with queue fairness, cost attribution, and priority scheduling. On-prem, cloud, or both.
03
Model Serving & Inference
Low-latency online serving, async batch, and cost-tuned inference. Canary rollouts and shadow evaluation so models ship like software.
04
Data Pipelines & Feature Stores
Streaming and batch pipelines with lineage, schema contracts, and PII controls. Data your models can trust and your auditors can trace.
FAQ
Frequently asked questions.
We map the Act's obligations (risk classification, documentation, human oversight, data governance) to your specific use cases, and embed the controls in the platform — not in a separate spreadsheet.
Yes — we design and operate bare-metal GPU infrastructure with scheduling, multi-tenancy, and cost accounting. Particularly useful when data residency or egress cost rules out cloud.
Every production model ships with a monitoring pipeline for input distribution, output distribution, and business metric drift. Alerts route to a named owner, not a shared inbox.
Assessment
AI platform review with compliance in the room.
60 minutes with our ML platform lead. Architecture review, compliance gap analysis, and a prioritised roadmap your AI team and your DPO can both sign off on.