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Keep your data genuine.

Detect agentic agents before your data is messed up.

Bots aren’t your problem anymore.

Human detection

Human Score

How human has an interaction been? RAMON is able to tell you by calculating a human score from 1 unlikely to 10 very likely human.

Interaction tracing & AI traps

Interaction is never linear. RAMON is able to tell how much or little it is in that regard and is able to trace interaction to ensure data is genuine. RAMON additionally adds AI traps with the help of AI (opt-in). Let’s not be fooled!

Similarity Score

Have a bunch of responses? Similarity in free-form is a big give-away for AI. RAMON is able to tell.

AI comparison

What would AI detection be without AI? Exactly. RAMON can (opt-in) to use AI to detect AI characteristics.

Use Cases

Discover the ways RAMON can help you make informed decisions on your data quality.

Humans-scored against machines

Human detection

Was your data filled by human or AI? RAMON determines your human-degree to help you decide whether your data was generated by real human interaction.

For ages, CAPTACHAs and honeypots were your go-to solution. They solved some bot-problems, and annoyed your users. Agents are shaking up this phenomen.

Neither solution is sufficient in the age of AI agents.

Make data genuine, again.

The end of bots is your problem.

Bots were for advanced users. With AI on the rise, every interaction can become bot interaction with a simple prompt.

Every unskilled person will soon be able to let agents take over their tasks. And that’s a mess for your data.

RAMON helps you determine, whether interaction was genuine or AI with a simple, drop-in solution.

Anyone can build a bot now

Agentic actions are stupid simple.

You still fear, bots are filling your forms and surveys?
They do, and they get much more advanced. Learn about agentic actions and tools like Neon and Comet to evaluate your datas risk now.

Onion skin model applied to add decision options on human interaction

RAMON

Security is based on the onion skin model. RAMON adds several skin layers to enable you to protect against agents by helping you decide whether behavior was human like in your forms. One simple setup and predictable cost for genuine data.

Latest Posts

Welcome to RAMON, your new guardian for genuine human interaction in an era of increasing AI agents and bots.

Get started today to be on the forefront of survey and form data quality.

Let’s schedule a presentation to help you decide on RAMONs usefulness for your data and how much you can gain by dropping in agent protection by human detection.

Frequently Asked Questions

Common Questions answered

What is an agent?

An agent is AI that acts on behalf of humans.

Think ChatGPT but moving your mouse, clicking, writing comments all from a simple prompt.

Now imagine what that means for your polls data quality. 

What is the difference between agents and bots?

An agent really is intelligent and acts dynamically and with randomness. Even two equal prompts can lead to two completely different outcomes.

A bot generally behaves the same every time it interacts with something. Thus being a whole lot more predictable and thus easier to detect.

Isn’t a CAPTCHA enough?

While CAPTCHAs work well against bots, agents behave more human like. Some CAPTCHAs will provide basic protection against agents as well as bots, but they will only go so far and will leave you in the dark about human factors completely. RAMON bridges that gap.

What can I do against agents?

Drop-in RAMON.

Nah, seriously; agents are very new technology made available to end-users in the last months gradually. You will see an uprise of agents and protection is a dynamic field.

For now, RAMON is unique in it’s human-detection approach.

Are agents available, yet?

Yes. Not only are agents available to IT professionals, they are also available to non-professionals. Think: a simple prompt can fill a whole survey or poll like a human.

Examples for end users are Opera Neon and Perplexity Comet.

What do I need to to do setup RAMON?

RAMON is really meant to be a drop-in feature, similar to CAPTCHA implementation. Learn more in a demo how simple it is to protect against agents.