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SafetyKit

Audit & RiskTrust and safety AI

AI agents and expert-labeled data for trust-and-safety, fraud, content, marketplace, and risk reviews.

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What is SafetyKit?

Founded in 2023 and headquartered in San Francisco, SafetyKit automates risk, safety, and compliance reviews for marketplaces and fintech platforms. The company says it has raised $27 million.

SafetyKit is a trust-and-safety AI platform for companies that evaluate users, listings, content, transactions, and related activity. Its Data API and SDKs ingest entities and events; models connect users, actions, interactions, and content; and AI agents evaluate signals, investigate cases, explain decisions, and escalate exceptions. The product is designed to replace or augment repetitive manual risk reviews while preserving an audit trail of decisions and policy outcomes.

Coverage includes content moderation, fraud prevention, merchant investigations and monitoring, credit risk, networks, product authenticity, recalls, hazardous materials, harmful websites and domains, adult content, scams, account takeover, multi-accounting, spam, and phishing. SafetyKit supports custom platform policies and multimodal review of text, images, video, audio, links, and events. It is not a conventional financial-statement audit tool. Its value is operational review automation, not an auditor opinion or financial reporting system.

The clearest fit is a marketplace, payments, fintech, social, or other platform with high-volume user activity and an established trust-and-safety or risk-operations team. SafetyKit sells through an enterprise, quote-based motion rather than publishing self-serve tiers. Official case studies report Upwork integration in under two weeks, more than 95% accuracy, and $1 million in annual savings; those are customer-specific results, not product-wide benchmarks.

Key features

Risk review agents

AI agents automate onboarding, risk reviews, investigations, decisions, and escalation of cases requiring human judgment.

Behavior analysis

Models connect users, actions, interactions, content, and transactions to detect evolving fraud and abuse patterns.

Content moderation

Multimodal review covers text, images, video, audio, external links, and platform-specific policy rules.

Fraud prevention

Use cases include scams, phishing, account takeover, multi-accounting, spam, fake accounts, and transaction laundering.

Marketplace safety

Specialized data and models identify counterfeit products, recalls, hazardous materials, unsafe listings, and IP violations.

Network enforcement

Network intelligence links related accounts, products, sellers, and actions to support coordinated takedowns.

Developer APIs and SDKs

The Data API supports asynchronous processing and webhooks, with SDKs for TypeScript, Python, Kotlin, and Java.

SafetyKit pricing

SafetyKit does not publish list pricing or self-serve tiers; its master subscription agreement says each order specifies fees and payment schedules. Vendr describes the platform as enterprise sales/demo only with no public pricing.

PlanPriceWhat's included
Custom engagementCustomScope and fees are agreed with sales; no public named pricing tiers.AI risk agents, platform data ingestion, policy-specific evaluation, investigations, reporting, and support scoped in the order

Free trial: Request a demo or consultation.

Pros & cons

Pros

  • Covers user behavior and connected networks rather than evaluating isolated events only.
  • Supports custom policies and multimodal reviews across text, images, video, audio, links, and transactions.
  • Provides explainable agent decisions, investigation workflows, and human escalation.
  • Official customer studies report fast integrations and substantial manual-review reduction.

Cons

  • Pricing is quote-based, with no public starting price or self-serve plan.
  • The product requires meaningful data integration and is aimed at established platform risk teams.
  • Public evidence does not provide independent, product-wide accuracy benchmarks by risk category.
  • It is a trust-and-safety risk platform, not a general ledger, financial-statement, or external-audit system.

Who is SafetyKit best for?

  • High-volume marketplaces that need policy enforcement across listings, sellers, media, and transactions.
  • Fintech and payments teams investigating fraud, merchant risk, scams, and account networks.
  • Trust-and-safety organizations that want custom policies without retraining a conventional classifier for every change.
  • Platforms with engineering capacity to send broad behavioral and content data through an API or SDK.

Use cases

Trust and safetyFraud preventionContent moderationMarketplacesFintechRisk reviewsCounterfeit detectionRecall detectionAccount takeoverScamsPhishingMerchant monitoring

Integrations

Notable customers

UpworkEventbritePatreonFaireCharacter.ai

Frequently asked questions

How much does SafetyKit cost?

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SafetyKit uses quote-based subscriptions and does not publish a starting price. The subscription agreement says each customer order defines the fees and payment schedule; Vendr likewise describes an enterprise sales motion with no public pricing.

How long does implementation take?

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SafetyKit's Upwork case study reports an API integration in under two weeks, and Eventbrite reports an integration taking less than two weeks. Actual timing depends on the breadth, quality, and authorization of the customer data supplied.

How does SafetyKit compare with Vanta?

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SafetyKit focuses on operational trust-and-safety, fraud, content, merchant, and network decisions from live platform activity. Vanta is a compliance-management platform for evidence collection and framework readiness, so the two solve different primary problems rather than being direct substitutes.

What integrations does SafetyKit support?

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The documented integration path is the Data API, asynchronous processing, and webhooks. Official SDKs are available for TypeScript, Python, Kotlin, and Java; customers generally connect their own users, products, transactions, content, and events rather than selecting a catalog of business applications.

Who should buy SafetyKit?

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It is designed for marketplaces, fintech platforms, payments businesses, social products, and other platforms handling substantial user activity. The strongest fit has a trust-and-safety or risk-operations team, custom policies, and engineering resources for data integration.

How accurate is SafetyKit?

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SafetyKit says decisions include explanations, and its customer materials report results such as Upwork's greater-than-95% accuracy and Eventbrite's two-times higher precision versus alternatives. Those figures are customer case-study claims rather than universal benchmarks.

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