The ground truth for Trust & Safety teams

Expert-labeled data and classifiers built for the toughest Trust & Safety problems

Deployed at scale by

  • Grindr
  • Etsy
  • Depop
  • Lyft
  • Lime
  • Block

Use cases

Built for what's hardest to catch

Inauthentic products

Detect fakes with brand- and SKU-level expertise that keeps pace with new products and counterfeiting tactics.

Recalled products

Match items to recall notices, even when a listing never names the product or brand.

Hazardous materials

Identify items containing dangerous chemicals, explosives, and regulated substances, even when the seller doesn’t say what’s inside.

Harmful websites
& domains

Uncover harmful websites and transaction laundering with comprehensive evaluations of site content, ownership, and payment flows.

Adult content

Apply your platform’s exact policy line for adult and restricted content consistently across every post and content item.

Why SafetyKit

The difference is the data

For Trust & Safety teams – the best data builds the best models, and the best models catch the most abuse. SafetyKit provides teams with the best data that they can't access anywhere else.

Expert-labeled

Labeled by experts and specialists to ensure the accuracy needed for Trust & Safety policies and enforcement.

Deep on the long tail

Comprehensive data that captures obscure brands, niche goods, and new scam patterns that generic models have never seen.

Always current

Constantly updated as new products, recalls, and behavior patterns appear, so your data and classifiers don't go stale and lose effectiveness.

Your models or ours

Leverage our classifiers out-of-the-box via API. Or train your own models on our labeled datasets.

Want to learn more?

Start with
better data and decisions

Talk to our team