Survey integrity for the AI age

The internet changed again.

Your research needs to know who answered.

Ramon analyzes completed online survey interactions and turns behavioral patterns into an easy-to-understand Human Score.

Powered by a proprietary model trained specifically on behavioral data from online survey interactions.

Ramon / Human Signal

Human Score

A clear signal in a noisy world.

Every completed interaction receives a Human Score—an additional signal that shows how closely its behavior matches human interaction and where a closer look may be worthwhile.

10%

10% human

50%

50% human

90%

90% human

Proprietary survey intelligence

A model built for survey behavior.

Generic fraud tools look for generic anomalies. Ramon was developed around the way people and AI agents move through online surveys—and around the evidence research teams actually need.

Survey-trained

The model learns from behavioral interaction sequences captured in online survey sessions.

Sequence-aware

It evaluates the timing and order of signals across the interaction, not one isolated action.

Complete before analysis

Scoring starts after submission, when the full interaction is available for a considered result.

Explore how the model works

Protect the integrity of every insight.

AI agents can produce plausible survey responses at scale. Ramon helps separate human insight from machine-shaped noise—after the survey, without interrupting respondents.