It brings machine learning to your private repositories securely, learning from just a handful of labeled examples per document type. Your sensitive documents never leave your environment.
Powered by an incremental, metric-to-neural learning framework, Docugym evolves continuously as your users validate or correct classifications. The result: a self-improving model that adapts to your organization's documents — without requiring in-house data science expertise.
Docugym can be configured to work with a range of pretrained multimodal embedding and vision-language models, both open- and closed-source. It supports API-based access to hosted models as well as fully private, on-premises deployment of the entire document intelligence pipeline using powerful open-source components.
This ensures region-specific data privacy and compliance while giving enterprises the flexibility to meet internal governance or regulatory requirements. Your sensitive documents remain under your complete control.
Docugym integrates seamlessly into enterprise architectures with both API and MCP endpoints, enabling agentic and automated document workflows across your systems. Drop it into your existing infrastructure and start extracting value immediately.
Start with just a handful of examples per document type. No need for massive labeled datasets or extensive training periods.
Models improve automatically as users interact with the system, adapting to new document types and evolving business needs.
Your documents never leave your environment. Choose between cloud APIs or fully on-premises deployment based on your security requirements.
Integrate seamlessly with your existing systems through our comprehensive APIs and MCP endpoints for automated workflows.
Enterprise-ready document intelligence that grows with your data — not against your security policies.
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