Marketplaces and e-commerce platforms make continuous decisions about users: who to onboard, who to reward, who to promote, who to investigate. Sign3 provides the intelligence layer that distinguishes a genuine user from a manufactured one, so trust infrastructure scales with the platform.
Four pressures that scale faster than a trust and safety team can.
A marketplace operates because users trust the platform enough to transact with strangers. That trust is built incrementally and lost at scale. A single cluster of fake sellers, a coordinated review manipulation, or a refund fraud ring damages platform credibility far beyond the direct financial loss.
Banks run KYC. Lenders pull bureau scores. Marketplaces often operate with a phone number, an email, and a self-declared profile. The intelligence available at the point of a platform decision is structurally thinner than what regulated institutions require for equivalent risk exposure.
Referral programmes, sign-up incentives, and cashback offers are systematically targeted by coordinated networks. These programmes are designed to acquire genuine users. They disproportionately attract organised exploitation, converting acquisition spend into fraud loss at scale.
Trust and safety operations designed for thousands of users cannot sustain millions. Investigation queues grow faster than headcount. Individual account review misses coordinated patterns that are only visible across the network.
A platform needs to tell a genuine user from a manufactured one — at signup, at payout, and at scale.
Device, behaviour, footprint, location and image, on every user
Device fingerprinting and digital footprint analysis that surfaces coordinated account creation, even when each profile clears individual verification. One device behind 150 accounts, detected and blocked.
The decisions a platform's trust and risk team owns, mapped to Sign3's intelligence layer.
A platform needs to tell a genuine user from a manufactured one — at signup, at payout, and at scale.
Systematic exploitation of acquisition incentives by coordinated networks, identified through device, behavioural, and network signals before the payout is processed. 350% decrease in promo abuse at a leading gaming client.
Address verification at 100-metre resolution, document forensics, and digital footprint checks that confirm the person and business behind every listing are genuine and reachable.
Digital maturity, affluence indicators, and behavioural depth resolved into user segments for pricing, targeting, and risk-tiered experiences. The same intelligence that identifies a fabricated profile also surfaces the highest-value organic user.
A single integration point. Three steps. A decision before the user goes live on the platform.
The standard data points collected during signup or seller onboarding, phone, email, device, and identity documents where applicable, are passed to Sign3 via a single SDK or API call. No additional steps are added to the user experience.
Measured across live marketplace, gaming and e-commerce deployments in India.
350%decrease in promo abuse
Leading gaming client.
95%reduction in fraudulent referral payouts
Investment app.
20-30 Crdevices processed monthly
Leading real-money gaming platform.
<200msp95 decisioning latency
Inclusive of network round-trip.
Four pressures that scale faster than a trust and safety team can.
A marketplace operates because users trust the platform enough to transact with strangers. That trust is built incrementally and lost at scale. A single cluster of fake sellers, a coordinated review manipulation, or a refund fraud ring damages platform credibility far beyond the direct financial loss.
Banks run KYC. Lenders pull bureau scores. Marketplaces often operate with a phone number, an email, and a self-declared profile. The intelligence available at the point of a platform decision is structurally thinner than what regulated institutions require for equivalent risk exposure.
Referral programmes, sign-up incentives, and cashback offers are systematically targeted by coordinated networks. These programmes are designed to acquire genuine users. They disproportionately attract organised exploitation, converting acquisition spend into fraud loss at scale.
Trust and safety operations designed for thousands of users cannot sustain millions. Investigation queues grow faster than headcount. Individual account review misses coordinated patterns that are only visible across the network.
A platform needs to tell a genuine user from a manufactured one — at signup, at payout, and at scale.
Device, behaviour, footprint, location and image, on every userDevice fingerprinting and digital footprint analysis that surfaces coordinated account creation, even when each profile clears individual verification. One device behind 150 accounts, detected and blocked.
The decisions a platform's trust and risk team owns, mapped to Sign3's intelligence layer.
A platform needs to tell a genuine user from a manufactured one — at signup, at payout, and at scale.
Systematic exploitation of acquisition incentives by coordinated networks, identified through device, behavioural, and network signals before the payout is processed. 350% decrease in promo abuse at a leading gaming client.
Address verification at 100-metre resolution, document forensics, and digital footprint checks that confirm the person and business behind every listing are genuine and reachable.
Digital maturity, affluence indicators, and behavioural depth resolved into user segments for pricing, targeting, and risk-tiered experiences. The same intelligence that identifies a fabricated profile also surfaces the highest-value organic user.
A single integration point. Three steps. A decision before the user goes live on the platform.
The standard data points collected during signup or seller onboarding, phone, email, device, and identity documents where applicable, are passed to Sign3 via a single SDK or API call. No additional steps are added to the user experience.
Sign3 enriches the registration across five signal modules: device intelligence, digital footprint, behavioural biometrics, location intelligence, and image intelligence. Over 3,000 attributes are generated and resolved into a single user persona.
A trust verdict is returned in under 200 milliseconds: approve, step-up, or flag for review. Every score is explainable, every threshold is configurable, and every decision is logged with the full signal trail.
Measured across live marketplace, gaming and e-commerce deployments in India.
350%decrease in promo abuse
Leading gaming client.
95%reduction in fraudulent referral payouts
Investment app.
20-30 Crdevices processed monthly
Leading real-money gaming platform.
<200msp95 decisioning latency
Inclusive of network round-trip.
We'll score it, surface the fraud patterns your current stack missed, and walk you through what we found. Your data, our scoring. No commitment, no integration, no decision required until you've seen the result.