
A Bilingual News Publisher
A multi-model content pipeline cut per-article production time from hours to under 10 minutes, and reduced overall content cycle time by 40%.
Applied AI Engineering Practice
Not because the AI might be wrong. Because eventually, it will be. Miloop AI designs and builds production systems, content automation, knowledge assistants, voice agents, where an independent check catches that moment before your customers do.
What we do
Not sure where AI can actually move the needle in your business? We audit your current workflows and any AI systems already in place, surfacing hallucination risk, wasted spend, and the highest-leverage place to start. You walk away with a clear roadmap, not a slide deck full of buzzwords.
We turn multi-step manual processes (classification, translation, drafting, fact-checking, publishing) into pipelines that run in minutes instead of hours. Built on production infrastructure, not fragile scripts, so it keeps running long after the handoff.
From retrieval-augmented systems that let your team query internal documents with grounded, sourced answers, to lightweight fine-tuned models that write in your brand's exact voice. Generative AI that's accurate first, impressive second.
AI that doesn't just talk. It acts. Multi-agent systems and tool integrations (via MCP) that let AI query your databases, operate your internal tools, and handle multi-step tasks end-to-end, including voice-based assistants for hands-free, conversational use cases.
Every system ships with its own quality bar: cross-model evaluation frameworks that catch hallucinations before your users do. Once live, we handle the cloud infrastructure and ongoing maintenance, so reliability doesn't become your problem.
Proof in production

A multi-model content pipeline cut per-article production time from hours to under 10 minutes, and reduced overall content cycle time by 40%.

A bilingual voice companion, among the first AI companion apps built specifically for Chinese American seniors in the U.S.

A generic model writes generically. This one was trained on real editorial writing for $0.70 on a single consumer GPU, instead of the far higher cost of building a custom model from scratch.