Model deployment, observability, and automated quality testing.
GG Tech's AI Infrastructure & Evals service sets up production infrastructure covering model deployment, observability, and automated quality testing. It makes your AI systems observable and measures output quality with automated tests. This keeps models running reliably in production.
| Typical team | 1 AI infrastructure engineer + 1 developer (part-time) |
|---|---|
| Calendar band | 4–10 weeks |
| Phase split | 25% metric & golden-set design · 45% framework setup · 20% integration · 10% handover & training |
What grows the budget
Signs of underbudgeting
These are GG Tech Teknoloji planning bands, not a quote — we do not publish prices. Every project is different, so the bands are deliberately wide; they assume a senior, focused team and typical scope, and your project is estimated individually.
What we deliver
Model deployment, observability, and automated quality testing.
Our team combines domain expertise, modern engineering, and research-driven design to build solutions that scale. We work in focused sprints with clear milestones and measurable outcomes.
AI Strategy & Advisory
Assess AI use cases and build an ROI-driven roadmap.
RAG & LLM Integration
Retrieval-augmented solutions that connect enterprise data to LLMs.
Multi-Agent Orchestration
AI agent teams that collaborate on complex tasks.
Voice AI Agents
Real-time, low-latency voice agents and call automation.
Agentic Workflow Automation
Speed up internal processes with agent-driven automation.
AI System Audits & Code Review
Security, accuracy, and cost analysis of your existing AI systems.
Custom AI Agent Development
Domain-specific agent systems built from scratch.
AI Governance & Compliance
Policies, guardrails, and audit workflows to keep AI systems safe, explainable, and regulation-ready.