Real sources. Real logs. Real control.

At Outpacr, explainability means that you can see what the AI saw, what it returned, and where it came from. We don’t simulate “understanding” with post-hoc interpretations.

We focus on what can actually be explained, and we log it. In line with the EU AI Act and modern enterprise needs.

Source-based Answers (RAG)

Outpacr uses Retrieval-Augmented Generation (RAG) to generate responses grounded in your own data.

Each answer includes clear references to the documents it’s based on — no guesses, no hallucinations.

Full Interaction Logging

We log every prompt, every user query, and every output, creating a complete audit trail.

This enables legal, technical, and operational traceability of every interaction.

Human Oversight by Default

Outpacr AI supports decisions. It doesn’t make them.

We ensure responsibility stays with people through built-in disclaimers, role definitions, and structured oversight.

Aligned with the EU AI Act

We don’t simulate explanations based on neural networks.

Instead, we provide the system-level transparency regulators require:

• what the AI does,

• how it works,

• what data it uses,

• and who is accountable.

Explainability isn't about inspecting neuron weights.

It's about showing where answers come from and who’s in control.

Outpacr delivers exactly that.