What it is
We help you understand, test, and strengthen the reliability and safety of your AI systems.
This includes looking at how the system behaves under pressure, where it can fail, and what safeguards are needed to keep it predictable in real use.
The goal is not to eliminate all risk.
The goal is to make the risk understood, managed, and controlled.
What you get
A clear view of your exposure
Where things can go wrong, why, and how likely it is to matter in practice.
Tests that reveal real behaviour
We look at edge cases, misuse scenarios, and failure points to see how the system holds up.
Safeguards that are simple to maintain
Monitoring, controls, and workflows that fit your team and don’t add unnecessary overhead.
When to bring us in
You’re about to ship something and want to make sure it doesn’t break.
You’ve seen behaviour that feels unpredictable and want to understand why.
You need to know what could go wrong before users find it.
You want simple, realistic safeguards that your team can actually run.
Why it works
We keep the process clear and collaborative.
We explain risks in practical terms, not theory.
We recommend safeguards that your team can actually operate.
The outcome is a system that can be trusted under real conditions.
Ready when you are
Whether you need a single sprint or a six-month stretch, we’ll find the right fit. And if the scope shifts? We’re built to flex.
Need someone sharp and hands-on? Let’s talk.


