judge → all
Assess the legal basis for reusing support chats as training data. Cover purpose limitation, legitimate interest, sensitive data and what EU regulators have said.
OPEN SOURCE
When you need to be sure of the answer, you can't trust a single model. Convene a council and let the frontier AI models anonymously argue their case and arrive at the final solution together. Replace a single AI model with an intelligence cluster.
Any model
Choose any provider
Search ON
Live internet research
Agentic
Discussion engine
No Bias
Models judged anonymously
Reduced Hallucination
Information cross-checked
HOW IT WORKS
Outside your own field you cannot tell which part of an expert answer to doubt. So the council's experts check each other, and you see exactly where they disagree.
01You ask
A question outside your expertise, where you would not know what to double-check in a single answer.
02The judge briefs the council
It turns your question into a research brief and sends it to every member.
03Experts research independently
Each model searches the live web and reads sources without seeing the others, so each can catch what the rest miss. You watch it happen.
04The judge settles the argument
It sets the findings against each other, tells you what holds up and what is still open, and writes a sourced report you can open, copy or download.
FAIR BY DESIGN
A judge that knows which lab wrote an answer can favour it. So it never finds out, and no position wins until the evidence settles it.
01Anonymous members
Model names become letters, shuffled every run. The judge weighs answers, never brands.
02Disagreements are chased
Where members differ, the judge goes after the gap and asks each side for its strongest evidence.
03Agreement is earned
Positions move on evidence, not on who said it. What stays unresolved is reported as open.