Applied AI Engineering Practice

AI systems engineered to verify themselves.

Manual workflows have a hidden cost in time and budget. Unchecked AI has a hidden cost in trust. Miloop AI designs and ships production AI systems, from content automation and knowledge assistants to voice agents and beyond, each with an independent evaluation layer that catches failures before they reach your customers.

What we do

From first audit to ongoing support.

AI Readiness Assessment

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 prioritized, concrete roadmap.

Workflow & Content Automation

We turn multi-step manual processes (classification, translation, drafting, fact-checking, publishing) into pipelines, cutting turnaround from hours to minutes. Built on production infrastructure that keeps running long after the handoff.

Generative AI & Knowledge Systems

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.

Agentic Systems & Integration

AI that queries your databases, operates your internal tools, and completes multi-step tasks end to end. Multi-agent systems and tool integrations (via MCP), including voice-based assistants for hands-free, conversational use cases.

Evaluation, Deployment & Ongoing Support

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

Systems Miloop AI has designed, built, and shipped.

Content Automation

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%.

“Translation, formatting, and the first editorial pass now happen before an editor opens the file. What used to need a full desk now needs one or two people, and they're spending that time on judgment calls instead of repetitive work.”
Senior Editor, a bilingual news publisher

Voice AI

A Nonprofit Organization

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

“I'd tried other chatbots before. This is the first one that felt like it was actually built for us, not adapted for us.”
Beta tester

Model Fine-Tuning

Brand-Voice Model Fine-Tune

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

“I read the draft before I found out which parts were AI-generated. I couldn't tell it apart from our own editors' work.”
Editorial Director, a bilingual news publisher

Or look at one up close.

Live

Multi-Agent Pipeline

FactLoop Newsroom

Type a topic in any language and watch it research, write, and fact-check a sourced article, live.

Try it live

0.794 Held-out kappa

97.2% Retrieval Hit@4

Case study

RAG Evaluation

Driftboard RAG Eval

An evaluation framework for RAG, stress-tested against a fictional knowledge base to catch what happens when the system does not know the answer, and to catch its own judge's blind spots too.

Read the case study

Case study

Agent Permissions

DeskLoop

An IT and HR helpdesk agent that cannot be talked into acting. The tier check lives in a tool server of its own, so a confirmation belongs to one action and nothing else.

Watch the walkthrough

About Miloop AI

Most AI demos work. Few AI systems survive contact with a real deadline, a real client, or a real edge case. Miloop AI builds the kind that do, with evaluation built into every pipeline from day one.

Learn About Us