Welcome to AlambicAI

Why AlambicAI?

The AI landscape is evolving fast. Large language models have become incredibly capable, but they often come with trade-offs: cloud dependency, privacy concerns, and costs that scale unpredictably.

At AlambicAI, we believe the future of AI is local, efficient, and open. Like an alembic distills raw materials into something pure and useful, we distill complex AI research into practical, deployable solutions.

What we do

Our R&D focuses on three areas:

• Local LLM deployment — Running powerful models on your own infrastructure
• Fine-tuning and optimization — Making models smaller, faster, and more specialized
• AI-powered tooling — Building practical applications that leverage LLMs in production

What to expect

This blog will be our lab notebook. Expect articles on:

• Benchmarks and comparisons of local models
• Practical guides for deploying LLMs
• Deep dives into fine-tuning techniques
• Explorations of emerging architectures

We’ll share what works, what doesn’t, and everything we learn along the way.

The site itself is a lab

You might notice something about this website: it’s built as a laboratory. The contact form, for example, is handled by an LLM agent. We use our own tools and research to build and improve this platform.

Stay tuned — there’s a lot to distill.