HABEAS

We verify whether your data is safe to use for AI and automated decisions.

We examine your data and give a clear result:
it is acceptable for AI use, or it is not.

If it is not, we document exactly where the weaknesses are.
We do not fix them. We do not advise on them.
We simply record the facts so others can act on them.

Why This Exists

AI systems don’t fail on purpose.
They fail because the information they rely on is incomplete, inconsistent, or misunderstood.

Once AI is involved, data stops being a technical detail.
It becomes the basis for decisions that affect people, money, and risk.

At that point, assumptions are not enough.
Someone needs to verify whether the data is actually fit to be used.

That is why this company exists.

What We Do

We independently examine organisational data to determine two things:

1. Whether it is acceptable for use in AI models and automated systems

2. Where the structural weaknesses are if it is not

Our work produces a clear, written record of:

• what was examined

• what was found

• what can and cannot be safely done with the data
  
  

Nothing more. Nothing less.

What We Do Not Do

We do not:

• improve your data

• redesign your systems

• recommend tools or vendors

• provide remediation advice
  
  

This separation is deliberate.

It ensures our findings remain neutral, defensible, and usable by
your internal teams, consultants, or technical partners.

How This Is Used

Our verification is used by organisations that need to:

• deploy AI responsibly

• justify automated decisions

• answer questions from boards, regulators, or clients

• understand data risk before action is taken
  
  

We do not influence decisions.
We make the condition of the data clear so decisions can be made with confidence.

Who This Is For

This service is for organisations that:

• are introducing AI or automation

• rely on data for consequential decisions

• need clarity, not reassurance
  
  

It is not for organisations looking for guidance, opinions, or optimisation.

In One Sentence

We verify whether data is acceptable for AI use and clearly document the weaknesses when it is not.