Eclusia
Freemium
Legal professionals handling confidential cases
Most moderation stacks crack the moment your community scales past a few thousand daily messages — rules miss context, queues pile up, and your human reviewers are triaging fires instead of catching patterns. Amanda is AiBA's AI moderation platform built to hold that line before it breaks.
Amanda runs across four modules — real-time detection with automated enforcement, a case management layer where your team reviews flagged content, community trend reporting, and an audit trail for regulatory purposes. The modular design means you can deploy detection first and add the review workflow later, which shortens time to value for teams already mid-crisis. The free Tox Scan (a one-off audit against your own data, no integration required) gives you a concrete read on what your current setup is missing before you commit. Where Amanda gets constrained: the vendor page describes no API details and no self-hosted option, so teams with strict data residency requirements or who need custom upstream integrations are buying before they know the ceiling. The sales path is 'Book a Meeting' — there is no self-serve trial.
Bottom line: Amanda is a credible fit for a gaming or marketplace platform that needs AI detection plus a human review queue out of the box — but teams requiring on-premises deployment, a published API, or self-serve onboarding will hit walls before they hit production.
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Freemium
Legal professionals handling confidential cases
Free · Open source
AI security researchers
Content moderation at scale has a known failure pattern: automated rules catch the obvious violations, everything contextual slips through, and your human team inherits a queue they cannot clear. Amanda addresses this by combining AI detection with a structured case management layer. Real-time detection flags harmful content and, depending on configuration, triggers automated enforcement actions. Content that falls into gray zones routes to human reviewers through a dedicated workflow — keeping your team in the decision loop without burying them in every individual call. Trend reporting and a compliance-ready audit trail sit on top of that, so you have both operational visibility and documentation when regulators ask.
The clearest differentiating feature is the DSA compliance module. For platforms operating under the EU Digital Services Act, audit trail generation and transparency reporting are no longer optional — they are regulatory requirements with enforcement consequences. Amanda’s vendor page describes a dedicated DSA Compliance Tool alongside the audit trail module, which means platforms in scope can potentially address both their moderation workflow and their regulatory documentation from the same system rather than bolting on a separate compliance layer.
Amanda is positioned for platforms where community behavior has sector-specific context — gaming vernacular, marketplace fraud signals, children’s safety requirements, or education environments — and the vendor page explicitly calls out each of these verticals. The Discord moderation bot extends detection to Discord communities directly, making it relevant for gaming studios and developer communities running substantial activity there. What is less clear from available documentation: the specifics of API access, data residency controls, and what integration depth looks like for teams with existing data pipelines. The onboarding path is a sales call, not a sandbox — so any technical evaluation has to happen through that channel.
The free Tox Scan is the one genuinely self-serve entry point: send a sample of your community data, receive an audit of what is slipping through your current moderation, no integration and no cost. It is a useful pre-sales step, but it is not a trial of the platform itself. Migration from existing tooling is described as a managed process, with the vendor claiming to work alongside your existing policies and data.
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