The Trinitite research lab
We break AI, so yours never breaks.
This is the workshop the whole platform is built on. We push powerful AI until it fails, write down exactly how, and turn every lesson into a Guard that keeps your AI in line.
Our mission
Dedicated to the safe, governed industrialization of Artificial General Intelligence.
Why this matters to you
A safety lab is only worth it if you get something out of it.
Proof, not promises
We do not guess. We run the scary experiments in private and put a real number on every claim.
See the danger first
We find how powerful AI goes wrong before it finds you, so you can say yes to AI with your eyes open.
Simple enough to share
Every finding comes out in plain language. If a fifth-grader cannot follow it, we are not done writing.
How the lab works
One loop that never stops paying off.
Break it, measure it, publish it, and hand every lesson to the Guard. Then we go again. The longer the lab runs, the smarter your rails get. That is the whole point.
The Warden sits at the center of it all, turning what we learn into rules your AI has to follow.
What we have proven
The receipts, in plain English.
Three questions decide whether you can trust an AI. We put real numbers on all three.
Can it be broken into?
We hand powerful models real tools and a real box, then try to break out. Then we prove a Guard holds.
Your agents are a liability
A smarter, pricier model is not a safer one. The priciest was among the least safe. Safety is a job for a Guard, not a bigger brain.
We let the top AI models use tools. Even the priciest ones failed basic safety.
Read the study
Your sandbox is made of glass
A box is not a wall. Weak ones broke 100% of the time, yet a little Guard that reads intent stopped giant models cold, every single time.
A small Guard caught the attacks the big models let through, with zero break-ins.
Read the study
Is it fair to people?
We watch AI read and write about real people, and catch the quiet favorites it plays when no one is looking.
The meritocracy delusion
AI reading resumes plays favorites in ways you cannot see. You have to check its work, not trust it.
When AI reads a resume, it quietly picks favorites, even with the names stripped out.
Read the study
Algorithmic redlining
The same model flips from protector to bully depending on the task. Bias has no fixed direction, so you cannot patch it from the inside.
Ask AI to invent "typical" people and it rebuilds old discrimination by default.
Read the study
Can you trust the answer?
We test whether AI gives the same safe answer every time, and show what it takes to actually stand behind it.
Why unguarded AI is uninsurable
If the same question can get a different safety answer, no one can insure it. Rails make the answer hold still, every time.
"The AI made a mistake" is not a defense a regulator or insurer will accept.
Read the studyThe payoff
Every scary thing we find becomes a rule your AI cannot break.
That is the deal we offer: we take the hits in the lab so you do not take them in production. What we learn does not sit in a PDF. It ships into the Guard.
Meet the boss
The Warden reads every finding, then puts the whole lab to work.
He is the top Emu. Everything the lab learns, he turns into Guards that check your AI on every move. New study, sharper Guards. You get the lab in a box, working for you.
Ready when you are
Put the lab to work on your AI.
See how our findings become a Guard that keeps your AI safe, fair, and on the record.