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.