How does Mercurium reduce onboarding time?

Mercurium automates document classification, KYC/AML checks, entity mapping, and risk scoring. What traditionally takes 90 days is reduced to minutes through AI-driven parallel processing.

Is Mercurium deployable on-premise?

Yes. Mercurium supports private GPU, on-premise, and enterprise deployments with full data sovereignty and custom model retraining on client data.

What document accuracy does Mercurium achieve?

Mercurium achieves 99% layout recognition accuracy and 97.6% table extraction accuracy across diverse document formats and languages.

Partnership

Build compliance transparency — together.

Co-author original research on financial crime, or contribute to the open-source modules and MCP servers we ship on GitHub. Tell us which track fits and we'll get back within a few days.

What would you like to collaborate on?

GitHub Open Source Contribute to our existing repos (pg-search-vector and more coming) or co-build new ones — entity disambiguation, document structure, MCP servers. Financial Crime Research Co-publish papers, datasets, benchmarks. Sanctions, AML, UBO, cross-border evasion patterns. Real data, peer-reviewed methods. GitHub Open Source Contribute to our existing repos (pg-search-vector and more coming) or co-build new ones — entity disambiguation, document structure, MCP servers.

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No newsletter, no sales follow-up. Just a reply from the team.

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