The web has a trust problem. Human-written work is getting harder to distinguish from generated output, while the tools people reach for often rely on guesswork. Humanums is building a better model: process-based proof instead of output-based suspicion.
We certify human authorship from behavioral evidence collected during writing, not from stylistic guesses made after the fact.
We turn that evidence into portable trust signals: a signed certificate, an embeddable badge, and a public verification page.
We are building for writers, publishers, students, and teams who need proof they can actually share.
Humanums is a content authenticity certification platform. When someone writes in Humanums, the system measures behavioral signals like timing variance, revision behavior, pause frequency, and paste patterns.
That evidence becomes the basis for certification. The goal is not to accuse suspicious text. The goal is to help honest people prove authorship before trust breaks down.
The internet does not need louder detector scores. It needs stronger provenance. If the value of human work is real, the proof of that work should be visible, portable, and inspectable.
We also believe privacy matters. Humanums is designed to measure how writing happens without capturing the actual contents of every keystroke.
We are building Humanums for people whose words carry economic or reputational weight: freelancers selling high-trust deliverables, publishers protecting bylines, students defending original work, and creators trying to stand out in a sea of synthetic content.
If your writing matters, authorship matters. That is the problem Humanums is here to solve.
No. Humanums is a certification product. It captures evidence during writing and turns that evidence into proof the writer can share.
Because trust is part of the product. People evaluating authorship proof need to understand the company behind the certification model, not just the badge itself.
See the product workflow from draft to badge to public verification page.
Read moreUnderstand the difference between output-based classification and process-based proof.
Read moreDive deeper into content authenticity, detection limits, and the economics of trust.
Read moreCreate a certificate on your own writing and see what a process-based proof layer looks like in practice.