Series BWe raised $41M to protect the internet from AI-powered abuseRead announcement

FRAUD DOESN'T SCALE. YOUR DEFENSES SHOULD.

Cinder protects buyers, sellers, and your bottom line from counterfeits, payment fraud, phishing, and impersonation. Trained on your platform's specific abuse signatures, not a generic fraud library.

  • Counterfeit detection

    Image, text, metadata, and listing context combined to catch fakes that any single signal would miss. Agents learn what counterfeit looks like on your specific categories.

  • Case investigation

    Pull accounts, listings, behaviors, and prior decisions into one structured view so your integrity team sees the full pattern, not just the latest report.

  • Phishing prevention

    Detect and remove phishing attempts in messages, listings, and AI-generated responses before your users act on them.

  • Listing review

    Enforce your listing policies at volume. Flag violations, auto-resolve high-confidence cases, and escalate the gray area to the right reviewer with context attached.

  • Seller fraud detection

    Identify fake storefronts, coordinated listing manipulation, and suspicious seller behavior at the point of entry, before they reach your buyers.

Cinder provided rigorous adversarial testing that matched our release velocity. Their team found important edge cases and helped us address them before launch.

Ben Brooks, Head of Public PolicyBlack Forest Labs

>90%

Reduction in CSAM and NCII vulnerability

10X

Safer than benchmark industry models at launch

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3X

More repeat-offender accounts taken down

50%

Of all bans executed by orchestrated workflows

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