Focus on your real respondents.
We focus on authenticity
Ask a fraud detection company why they passed a respondent and they will tell you that they didn't straight-line, didn't spoof their IP, didn't fail an attention check.
Ask us, and we would show you that their media consumption is consistent with their background.
And their network matches their claimed experience.
We'd point to instances where they used a passport to verify their profile.
And that they purchased flights using the identity they gave you.
Give your clients proof that your respondents are real, not just that they didn't get caught.
Our Offerings
Risk Scoring
Our advanced risk algorithms detect human-like behaviour in your respondent pool.
We ensure the respondent's identity and claims are consistent across their online record.
Profiling AI
Our Profiling AI lets you query years worth of a respondent's behavioural history.
This allows you retroactively ask free form questions even after the survey ends.
Upcylcing
Convert lower value general consumer panels into specialty B2B, Travel or Media Consumption panels
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Does your LinkedIn network match your claim of being a physician?
Our Risk Score captures facts, behaviour and authenticity.
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Does your flight history match with the city you claim to live in?
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You paid for a hotel using matching information
Stop relying on self-reported claims
The data we use to identify fraud and confirm identity can also be used to enrich your own data collection.
Our data lets you shorten onboarding and improve accuracy by sourcing survey answers directly from our data sets.
This means you can ask fewer questions and start with cleaner data.
Profiling tags
Our data can profile your respondents faster. You'd be able to pre-fill information about a respondent's employment, educational background, travel profile and media habits to name a few.
Overclaiming
We validate respondent claims by cross-checking their answers against their data sets.
This ensures your information is consistent with their real-world record.
Fingerprinting
Our fingerprint technology prevents repeat signups, linking the same account to multiple identities, and re-purposing existing accounts for new identities.
Features
Verifiable
We only use behavioural data collected directly from verifiable sources. Unlike self-reported data, these data sets are independently verifiable and much more resistant to fraud.
Our data collection goes far beyond what a respondent could provide through a traditional survey.
Consistency
We analyze historical user activity, not clicks and in-survey behaviour.
This includes evaluating account age, interaction diversity, and content engagement patterns to identify if the behavior is organically human or recently fabricated.
Bias
All data collection has bias, we work with data sources that have as much representation as possible.
These sources have actually have an anti-fraud bias, genuine respondents almost always hold one or more of these accounts, while bad actors rarely have profiles consistent with their fabricated identities.
Deterrent
Fraud schemes rely on scale and low effort.
Most humans will have a Google or Amazon account, almost all frauds will not have one consistent with their fake identity. To get past our filters, fraudsters will have to build and populate online accounts over years.
Most attackers abandon their attempts entirely.
Verification Without Friction
Unlike KYC, there’s no need to upload passports or selfies. We confirm real-world identity with public footprint analysis, keeping the user experience seamless and private - while offering deeper trust.
Built for AI-Era Threats
Legacy security tools are no match for modern AI-powered fraud. CAPTCHAs are cracked, Cloudflare only protects websites, and standard KYC tools were built for financial compliance, not respondent recruitment or research integrity.
