Checkstep

Checkstep is an AI content moderation platform for scanning content, applying configurable platform policies, and routing decisions through automated or human review workflows. It supports moderation across text, images, video, and audio, with tools for transparency reporting and DSA and OSA-related processes.

What Checkstep does

Checkstep combines content scanning, policy management, moderation workflows, and compliance reporting in one platform. Its policy engine lets organizations define what is and is not allowed, configure confidence thresholds, and set different policies by jurisdiction. The platform’s AI marketplace supports testing and swapping models to match policy and content needs.

The system can assess text, images, video, and audio together rather than treating each format separately. It covers categories including self-harm, adult content, violence, spam, harassment, terrorism, child sexual abuse material, personal data, and intellectual property. Checkstep says it processes more than 100 languages natively and can use translation for other languages.

Who it helps

The platform is aimed at content, trust and safety, and compliance teams operating marketplaces, gaming services, streaming platforms, dating products, social networks, and review sites. It is relevant to organizations that need to moderate professional or user-generated content at scale while retaining control over their own rules and escalation processes.

Notable capabilities

• Configurable policy management: Define platform rules, abuse categories, thresholds, and jurisdiction-specific requirements through a policy engine.
• Multimodal content scanning: Moderate text, images, video, and audio, including combinations such as an image and its caption.
• Automated and human review: Use automated moderation, including Checkstep’s ModBot, alongside moderator queues and human-in-the-loop review.
• Appeals and transparency reporting: Record the policy associated with an enforcement, support appeal workflows, generate transparency reports, and automatically file statements of reasons to the EU DSA database, according to the vendor.
• API-based integration: A minimum integration can send content through a single API call and return a decision. Checkstep states that content is not stored and that media can be accessed by link through delegated access.

How it fits a workflow

A typical workflow can scan content as it is submitted, automatically action clear high-confidence cases, and route uncertain or sensitive cases to a moderator or another model. Teams can then tune policies, confidence thresholds, and review queues to reflect existing operations. The vendor states that a basic integration can run in days, while configuration commonly takes several weeks.

Strengths and limits

Checkstep’s main practical strength is the combination of multimodal scanning, configurable rules, model selection, human review, and compliance-oriented recordkeeping. Its approach is designed to reduce routine manual review rather than eliminate moderators. Checkstep describes human-reviewed appeals and review/reporting workflows for sensitive material. Accuracy can vary by harm type and language, so nuanced issues such as coded harassment or grooming may require community-specific model tuning and escalation. Vendor-reported figures, including claimed reductions in moderation costs and improvements in speed or accuracy, should be evaluated against an organization’s own content and review data.