SafetyKit Uses OpenAI's GPT-5 to Power Multimodal AI Risk Agents
Executive Summary
SafetyKit, a platform for risk and compliance, is leveraging OpenAI's most advanced models, including GPT-5 and GPT-4.1, to power its multimodal AI agents. These agents help marketplaces, payment platforms, and fintechs detect fraud and policy violations across text, images, and transactions with over 95% accuracy. By matching the optimal model to specific tasks, SafetyKit provides more nuanced and effective safety operations than legacy systems, automating the review of customer content at a massive scale.
Key Takeaways
* Product: SafetyKit provides multimodal AI agents designed to detect and act on fraud, prohibited activity, and complex policy violations.
* Multi-Model Strategy: The system uses different OpenAI models for specific tasks: GPT-5 for complex multimodal reasoning in policy "gray areas," and GPT-4.1 for high-volume, instruction-based content moderation.
* High Accuracy & Nuance: The agents achieve over 95% accuracy on internal evaluations and can detect subtle violations that legacy systems miss, such as phone numbers embedded in images or region-specific compliance language in product listings.
* Rapid Adoption & Scale: SafetyKit rapidly integrates new OpenAI models, deploying GPT-5 within days of its availability. The platform has scaled to process over 16 billion tokens daily for customers in domains including payments risk, fraud, and anti-money laundering.
* Target Audience: The service is built for marketplaces, payment platforms, and fintech companies that need to enforce content and user policies at scale.
Strategic Importance
This case study highlights a critical enterprise application for OpenAI's frontier models, demonstrating their effectiveness in high-stakes, real-world safety and compliance workflows, which provides a strong proof point for enterprise adoption. For SafetyKit, it establishes a key competitive advantage by enabling more accurate and scalable risk management than traditional solutions.