Witnessing inequality without fighting for equality has never been an option.
An AI governance and forensic accountability company. We build the infrastructure that makes automated decisions auditable, traceable, and challengeable — so that when a system affects someone, there is a record of how, and a way to answer for it.
THE WRITING →I kept hitting the same wall. There’s never enough money for the programs people actually need, and somehow always enough to keep fighting them. I couldn’t make it make sense, so I stopped trying to and started asking a different question — what would it look like if it worked.
For years I watched automated systems decide things about people. Who gets seen. Who gets flagged. Who gets believed. And when one of them got it wrong, there was nowhere to go. No record, no reasoning, no door to knock on.
Then I watched it stop being a few systems and become all of them. Hiring. Lending. Diagnosis. Sentencing. Benefits. Moderation. The conversation about AI safety got louder everywhere — and almost all of it stayed at the level of the model. Is it aligned, is it capable, is it dangerous in the abstract. The question that actually reaches a person’s life kept going unasked: when one of these systems makes a call about you, can anyone say how it got there, and can you do anything about it?
Right now, for most systems, the honest answer is no. No record to point to. No way to contest the result.
So I built the door. Equal Standard Project makes the record an automated decision should have left in the first place — so the person it lands on can ask how, and get an answer.
“One person started it. One provisional patent. And a genuine belief that we can do better.”
The filed core
At the center of the work is a governance engine — AEGIS (AI Ethics, Guidance, Integrity & Safety System). It produces the accountability record for an automated decision: what the system was working from, how it reached its output, and a trail that holds up after the fact.
It is patent-pending with the United States Patent and Trademark Office (Provisional No. 63/928,524), and it is the filed core of a larger forensic-accountability architecture. The rest of that architecture is in active development.
PATENT PENDING · USPTO #63/928,524
Built for the decisions that carry weight
AEGIS is built for the places where an automated decision lands on a person and someone has to be able to answer for it — healthcare, legal, financial services, the public sector. Not to slow those systems down. To make sure that when they act, the reasoning survives the moment, and there’s something real to point to when it matters.
What if we could do better?
That’s the question underneath all of it. More soon.