We banned our engineers from using public AI. Here's what happened.

3/3/20261 min read

SpearX, SpearXAI, AI, LLM, RAG

SpearX, SpearXAI, AI, LLM, RAG

Sounds radical? Maybe.

But in serious engineering, the cost of a mistake is too high to trust it to "smart" but unpredictable algorithms from the open internet.

Public AI tools often "hallucinate": they can confidently give wrong specifications or miss critical details in patents.
For writing an email, that's okay. For developing a SpearX product - not acceptable.

So we built our own solution. Meet SpearX AI Assistant.

This is not just a chatbot.
It is a closed intelligent system that works strictly inside our secure environment. No data leaves the company, and no external noise affects the answers.

How did we build it?
Under the hood, SpearX AI Assistant uses a transparent and controlled architecture based on open-source technology stack (LLM + RAG), running only on our own server.

Why does this matter?
Because we see every layer of the system. We don't depend on a "black box" from external vendors, and we can guarantee the model works exactly as our engineers designed it.

What makes it special?
Unlike public models trained on the whole internet, our assistant knows only verified expertise:
Textbooks - fundamental physics and theory.
Datasheets - exact specifications for every component.
Whitepapers - leading industry research.
Internal documentation - our technologies and know-how.

How does this change the work?
When an engineer asks a question, SpearX AI Assistant doesn't "guess". It acts like an expert librarian: it finds the right part in the documentation and gives an answer with a source link.
Security: Confidential information stays protected inside our closed system.
Accuracy: Answers are based on facts, not probabilities.
Speed: Hours of searching through documentation now take seconds.

We don't just follow trends. We build infrastructure that helps us work faster and more accurately.

While others ask AI "how to do it", our engineers ask "how to do it better".
Innovation needs control. And we took it.