Our panel evolves with Ringr Call Evaluator

In a world where everyone competes to say more, we have decided to listen better.
While the industry studies empty metrics and artificial conversations, at Ringr we have created something different: Ringr Call Evaluator, a new way to evaluate interactions that understands context, intent, and real impact.

Why it is different
For too long, evaluations have treated language as something rigid, binary, as if it could fit into a formula.
But language is not like that.
In a real conversation—especially in those of a conversational agent—it is not enough to match a phrase with a “correct text.” People speak with nuances, with subjectivity, with imperfections.

Now, with generative AI expanded across all channels, the challenge is different: either it is evaluated as we do, or it is not evaluated thoroughly.

How it works
Ringr Call Evaluator is a reviewing agent that understands content and context, and adjusts the evaluation to each use case.
Because to know if an interaction was a success, one must first define what its goal was.
And yes: we also measure the satisfaction of the interlocutor, because the true impact is not only in what is said, but in how the listener feels.

What it brings to your business

Constant evaluation, without biases, and capable of encompassing call volumes impossible for a human team.

Immediate implementation so that your agents—AI or humans—improve from day one.

Conversations that not only sound good: they connect, meet objectives, and generate tangible value.

The best innovation: to be human again.
Because quality is not about sounding perfect. It’s about sounding authentic.