Lasso Moderation

Lasso Moderation is an AI content moderation platform that classifies text, images, video and audio, auto-decides most flagged items, and routes the rest to human moderators with full context. Rules are customizable and integration runs through a REST API or pre-built connectors.

Lasso Moderation is a content moderation platform aimed at teams that run communities, chats, marketplaces or user-generated media and need harmful material handled without a large review staff. It classifies text, images, video and audio as they arrive, and an AI moderator decides what to block, allow or send to a person. The homepage claims 99.9% of flagged items are decided automatically, leaving roughly 0.1% for human moderators. In practice the product works through a dashboard and an API. Managers write the rules, such as off-platform contact, external links, street addresses or trash talk, and can see the effect of a change immediately. Industry-specific policies provide a starting baseline, and Lasso says it helps translate detailed policies into custom detection models. Every confirm or overrule by a moderator becomes training data for those models, so the system is meant to improve with use. Human reviewers work queues that show the full context of each item, offer one-click approve or remove, and blur sensitive media automatically to protect moderator wellbeing. Developers integrate through a single REST API endpoint plus webhooks, or choose pre-built connectors for chat and community platforms such as Slack, Sendbird, Stream, TalkJS, PubNub, Circle and Bettermode, along with voice and visual moderation partners. Published customer examples come from gaming, dating, festivals and media, including CrazyGames, True for Two, Bloxd, Woov and COOL Media, each reporting large reductions in manual review time. The site also lists dedicated pages for social, marketplaces, publishing and adult entertainment. Among alternatives, Lasso sits between raw moderation APIs that only return a label and fully outsourced moderation services. It keeps policy control and a human review layer in one product, which suits mid-sized platforms that want customizable rules rather than a fixed, generic filter. Teams needing on-premise deployment or very niche modalities should verify coverage with the vendor first.