AI & ML Consulting

Your data knows the answer.
Let's make it findable.

I build RAG systems that turn your company's documents, databases, and institutional knowledge into an intelligent search layer your team can actually use.

Start a conversation What we do
My mission

Focused AI, built for your scale

NeuralCognition brings academic-grade ML rigor to practical business problems. With roots in ML research since 2010 and industry experience since 2022, I understand both the science and the operational realities of deploying AI in real-world settings.

I specialize in building RAG systems — connecting large language models to your company's own data so your team can query documents, records, and institutional knowledge in plain English, and get accurate, grounded answers.

15+
Years of ML research & industry experience
RAG
Production systems, not prototypes
🔒
Your data stays private — never used to train third-party models
💼
Pricing designed for small teams, not enterprise budgets
What I build

From raw data to
intelligent answers

🔍

Custom RAG Systems

End-to-end pipelines that ingest your documents, index them semantically, and connect them to a language model — so your team can query company knowledge in plain English.

🗄️

Data Preparation & ETL

I clean, chunk, embed, and structure your existing data sources — PDFs, databases, wikis — into retrieval-ready vector stores. Often the most important part of building a reliable RAG system.

🔒

Private Deployment

Your data stays in your environment. I deploy on your existing cloud setup so you retain full ownership and control over your documents and queries.

🤝

Guidance & Advising

Not sure where to start? I help small teams understand what AI can realistically do for them, cut through the hype, and make informed decisions before committing to a build.

The team

People who build
what they preach

Pierre Enel
Pierre Enel, Ph.D.
ML Scientist & Consultant
I bring over 15 years of machine learning expertise — from computational neuroscience research at NYU and Mount Sinai to industry ML engineering. I hold a PhD in Computational Neuroscience and have designed, implemented, and deployed ML systems across academia and industry, covering everything from deep learning and NLP to MLOps and cloud deployment.
Get in touch

Let's talk about your data

Tell me about your situation — what data you have, what problem you're trying to solve, and what you've already tried. I'll get back to you as soon as I can, and together we can figure out whether a RAG system makes sense for your use case.

✅

Thanks for reaching out! I'll get back to you as soon as I can.