Instant decisions for Trust and Safety
Zero out your backlog and increase precision with automated Trust and Safety decisions — no eng, ML, or vendor management required.
Instant policy-driven decision-making
Define what you do and don’t want on your platform — our AI agents will execute those policies with better-than-human precision and speed. Our quality monitoring tools let you deploy correct, repeatable policies with confidence.
Ship policies and rules today, not “next quarter”
Legacy ML models require expensive labeling and training, and training human reviewers takes even longer. We allow you to deploy new enforcements today with no agent or model retraining.
Understand every decision
It’s impossible to understand why ML classifiers make a prediction, and human reviewers aren’t much better. SafetyKit provides detailed reasoning with every decision.
👋 Hi there, we’re the founders of SafetyKit. We built the policy and review platforms that keep users safe at Airbnb and Stripe.
Now we’re using AI to give every company the same scale and precision, without needing expensive vendor agents. If you’re a Trust and Safety leader wondering what AI means for your team, we should talk.
Alex led Trust & Safety automation at Airbnb and Stripe with a focus on marketplace risk and offline harm. He built policy-to-workflow pipelines that increased precision and reduced total handle time by 50%.
David led engineering for risk reviews at Stripe for fraud, credit, content moderation, and financial crimes. He built the policy and workflow engine that scaled Stripe from internal reviewers to thousands of outsourced vendor agents.
Steven was CEO at Carbic, a Y Combinator company where he sold to some of the largest enterprises in the world. He previously designed and built human review tools for startups and companies like Cisco and Roche.