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AI-native fraud and AML platform with real-time decisioning and cross-entity intelligence for banks, fintechs and payments.
Free, privacy-first AI image detector that scores whether a photo is AI-generated in under 10 seconds.
AI search that hunts for a person's active Tinder profile by name, age and location, returning bio, photos and last-activity details.
Done-for-you Amazon negative-review removal service using AI to flag policy-violating reviews, for sellers protecting their star ratings.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Real-time AI fraud/AML decisioning
- ✦Adaptive ML detection engine
- ✦Cross-entity link analysis
- ✦AI agents incl. conversational 'Vera'
- ✦Investigation and reporting tools
- ✦Low-latency scoring at high QPS
- ✦AI-generated image detection
- ✦Confidence score with reasoning
- ✦Results in under 10 seconds
- ✦Privacy-first, no image storage
- ✦No registration for basic use
- ✦Supports JPEG, PNG, WebP
- ✦AI-powered dating profile search
- ✦Advanced facial recognition
- ✦Anonymous searches
- ✦Dating profile screenshots
- ✦AI Tinder profile search
- ✦Report with bio, photos and last activity
- ✦Detects premium subscription use
- ✦No login, private searches
- ✦Multi-data-point matching
- ✦AI scanning of reviews across Amazon's policy categories
- ✦Human-prepared appeal cases using a proprietary case methodology
- ✦Manual submission and tracking of removal cases
- ✦Free ASIN audit estimating removable reviews and rating impact
- ✦Ongoing monitoring for new violating reviews
- ✦Standalone Amazon review checker tool
- →Stop payment, card and check fraud
- →Prevent account takeover and application fraud
- →Meet AML/BSA compliance
- →Onboard customers with less friction
- →Verifying if an image is AI-made
- →Journalists checking authenticity
- →Educators and moderators screening content
- →Discovering if a partner is active on dating apps
- →Checking whether a partner is on Tinder
- →Vetting a new date
- →Relationship peace of mind
- →Amazon sellers wanting to remove fake or policy-violating negative reviews
- →Brands seeking a free audit of removable reviews before committing
- →Ongoing review monitoring for active Amazon listings