Every new AI application is aimed at making: generate the text, write the report, fill in the answer. The reverse, evaluating what has been made, barely exists as a product, because that work creates work instead of saving it.
In sectors where a mistake is expensive, evaluation is therefore still done in costly human hours, one document at a time. Finding contradictions across an entire document set, consistently and without fatigue: that is not work for humans. That is what we build.
What we do
Our systems make no decisions about people. They give a verifiable evaluation to those who do decide.
Human-in-the-loop sits in our architecture, not in a disclaimer: our systems can evaluate, not decide.
Our systems are calibrated to your documents, standards and processes. Every finding points to its source and can be verified.
Our systems are built in line with the EU AI Act; we ran that exercise on ourselves first. We test your files against the regulation where a mistake costs money: CSRD, ESRS, DORA, GDPR.
The factual overview →Services
Ramirez builds evaluative applications per sector.
Academic work tested against academic standards. Our flagship, Esmond, does this today.
EU AI Act, CSRD/ESRS and DORA files: we find what does not hold up, before it costs money. Including your suppliers' AI accountability statements.
Pre-screening of data rooms and files: contract clauses, obligations and compliance gaps flagged before the expensive hours begin.
The dress rehearsal, before the external review.
Brands
Esmond evaluates academic work for students in higher education.
