Our service
Complete AI from diagnosis to production
From use case to go-live: agents, RAG and automation in production — clear ROI and engineering built to scale, not just demos.
Agents, RAG and automation in production — clear ROI, monitoring and cost control.
Stack & tooling
Tools and libs for LLM apps, agents and RAG
Models, frameworks and infra we use to ship AI to production — OpenAI, Claude, LangChain, LlamaIndex, vector DBs and automation. Chosen for the use case, not the hype.
- OpenAI
- Claude
- LangChain
- LlamaIndex
- Hugging Face
- Pinecone
- PostgreSQL
- OpenRouter
- Python
- PyTorch
- n8n
LLM apps and chat with OpenAI, Claude and routing via OpenRouter.
Agents and orchestration with LangChain, LlamaIndex and n8n automations.
RAG with embeddings, Pinecone or PostgreSQL/pgvector and Hugging Face.
Python and PyTorch when pipelines need custom models or fine-tuning.
Ready to ship?
Talk to a Pixelize consultant — share the challenge and leave with clear next steps.
How it works
From chat to quote — then go-live
Consultant & discovery
We map the challenge, data, stack and what drives ROI first.
Proposal with phases, timeline, investment and success criteria.
Scope & quote
LLM apps, agents, RAG, integrations and tests.
Development
Go-live with security, cost control and continuous improvement.
Deploy & ops
Quote
Let's quote
your AI project!
Tell us the challenge — agent, LLM app, RAG or automation.
FAQ
Everything you need to know
Production — with monitoring and iteration.
After a consultant chat we send scope, timeline and price.
OpenAI, Anthropic, open-source, vector DBs, Supabase — as needed.
Yes — ERPs, CRMs, WhatsApp, internal APIs.
Yes — ongoing evolution after go-live.
Still unsure?
Book a free call.
Talk to a Pixelize consultant for next steps + quote.
Worldwide service, close collaboration.
We work remotely with businesses in Brazil and around the world. We agree on communication, schedules and delivery milestones to work with your team, wherever it is.