AI engineering for real products
AI that works in production.
From LLM integrations to AI agents, we build reliable AI systems that scale.
From LLM integrations to AI agents, we build reliable AI systems that scale.
Language-model features wired into your product with evals, guardrails, and fallbacks.
Retrieval that returns the right context — chunking, embedding, and ranking tuned to your data.
Multi-step agents with the permissions, monitoring, and kill switches production demands.
Model routing, caching, and prompt compression that cut API spend without cutting quality.
Prompt injection, data leakage, and agent-risk audits — via our Cyber Studio.
Anyone can wire up a demo in a weekend. Making it reliable, secure, and affordable at scale is engineering.
15 minutes on what you’re building, what’s working, and where AI actually earns its keep.
We design the system — models, data flow, evals, cost envelope — and give you a fixed scope.
We build inside your stack with your team, shipping in increments you can test from week one.
Production rollout with monitoring, then cost and quality tuning against real traffic.
Model routing, prompt compression, and caching typically cut LLM spend by half or more — without users noticing any difference. A sample engagement, redacted:
Find out what yours could look like →Our engineers run AI in production for real products — including an AI ad-generation stack we built and operate ourselves — so reliability and cost aren’t theory to us.
Every AI system we ship is reviewed by our own Cyber Studio for prompt injection, data leakage, and agent risk.
How we built and operate Cartlinc’s AI-powered product features at production scale.
15 minutes, no obligation. You’ll leave the call with:
