---
title: "AI Agents & Generative AI | OOZOU"
description: "AI agents, RAG systems, and LLM products that automate real work — not demos that never leave the slide deck."
canonical: https://oozou.com/services/ai-machine-learning
locale: en
---

# AI Agents & Generative AI

> AI agents, RAG systems, and LLM products that automate real work — not demos that never leave the slide deck.

We build AI systems that create measurable value: multi-step agents that use tools and APIs, RAG knowledge assistants grounded in your private data, copilots embedded in existing products, and evaluation pipelines that keep quality under control. We work across OpenAI, Anthropic Claude, Gemini, and open models with frameworks like LangChain, LangGraph, and the Vercel AI SDK. From AI audit and data preparation through agent design, human-in-the-loop workflows, production integration, and monitoring, we ship systems your users can trust.


## Key Capabilities

- **AI Agents & Tool Use**: Multi-step agents that plan, call tools and APIs, recover from errors, and complete workflows end-to-end.
- **Predictive Models**: Forecasting, scoring, and recommendation models trained on your data and monitored in production.
- **RAG & Knowledge Systems**: Retrieval-augmented generation over your docs, tickets, and databases with grounding and citations.
- **Agentic Automation**: Human-in-the-loop automations that reduce manual work while keeping high-stakes decisions reviewable.

## Technologies We Use

OpenAI, Anthropic Claude, Google Gemini, LangChain, LangGraph, Vercel AI SDK, LlamaIndex, pgvector, Python, Hugging Face

## Our Approach

1. **AI Audit**: Use cases, data readiness, and risk review
2. **Agent Design**: Workflows, tools, RAG, and guardrails
3. **Build & Evaluate**: Prompts, agents, models, and eval suites
4. **Integration**: Embed into products, APIs, and ops tools
5. **Deploy**: Production rollout with cost and safety controls
6. **Monitor**: Quality, drift, feedback, and iteration

## Budgets of All Sizes

We work with budgets across the full range. The team adapts scope, size, and engagement model to what you can spend, without lowering the bar on how we build.

- **Enterprise**: Full delivery teams for complex platforms, with the security, compliance, and process rigor large organizations expect.
- **Growing Teams**: Flexible engagements that scale with you. Add capacity when you need it, scale back when you don't, without renegotiating from scratch.
- **Small Business & Startups**: Lean, focused builds that get the essentials right. We help you trim scope, not quality, so a modest budget still ships a solid product.

## Why This Matters

- **Real Automation**: Agents and workflows that remove manual effort, not chat demos that stall.
- **Grounded Answers**: RAG and analytics that cite your data instead of inventing it.
- **Cost Discipline**: Model choice, caching, and evals that keep quality high and token spend controlled.
- **Product Advantage**: AI features competitors cannot easily copy because they sit inside your workflows.

## Frequently Asked Questions

### What AI development services does OOZOU offer?

We build multi-step AI agents that use tools and APIs, RAG knowledge assistants grounded in your private data, copilots embedded in existing products, and the evaluation pipelines that keep them reliable. Engagements run from an initial AI audit through agent design, human-in-the-loop workflows, and production monitoring.

### Which AI models and frameworks does OOZOU work with?

We work with OpenAI, Anthropic Claude, and Google Gemini models, using LangChain, LangGraph, the Vercel AI SDK, LlamaIndex, and pgvector, with Python and Hugging Face for custom model work.

### Can OOZOU add AI to an existing product?

Yes. Most of our AI work is embedding copilots, assistants, and automation into products that already exist. We usually start with an AI audit to find the use cases where AI creates measurable value, then ship the highest-impact one first.

### How does OOZOU keep AI systems reliable in production?

Every system ships with evaluation pipelines, grounding and citations for RAG answers, human-in-the-loop review for high-stakes decisions, and production monitoring. We treat AI quality as an engineering discipline, not a launch-day hope.


## Related

All services: [Services](https://oozou.com/services) ([markdown](https://oozou.com/services.md)). Case studies: [Case Studies](https://oozou.com/case-studies) ([markdown](https://oozou.com/case-studies.md)).

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Contact OOZOU: hello@oozou.com · +66 2544 0000 · https://oozou.com/contact

More for AI agents: https://oozou.com/llms.txt · every page has a markdown twin at its URL plus ".md"