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About Dedoctive
Dedoctive is an AI tool for document understanding, knowledge extraction, and semantic search.It applies natural language processing (NLP) and reasoning to convert unstructured text into structured data and knowledge graphs.
The platform supports bulk ingestion, named-entity recognition, relation extraction, and automated summarization for faster content analysis.API and integration options enable embedding semantic search, question answering, and data pipelines into existing workflows.
Analysts, researchers, and developers can use it for exploratory search, report generation, and decision support.Outputs include structured JSON, CSV, and graph exports suitable for downstream analytics and BI tools.
Access controls and logging support auditability and integration with enterprise compliance processes.
Key Features
Use Cases
Who is it for?
The platform supports bulk ingestion, named-entity recognition, relation extraction, and automated summarization for faster content analysis.API and integration options enable embedding semantic search, question answering, and data pipelines into existing workflows.
Analysts, researchers, and developers can use it for exploratory search, report generation, and decision support.Outputs include structured JSON, CSV, and graph exports suitable for downstream analytics and BI tools.
Access controls and logging support auditability and integration with enterprise compliance processes.
Key Features
- NLP and reasoning to convert unstructured text into structured data and knowledge graphs
- Bulk document ingestion
- Named-entity recognition, relation extraction, and automated summarization
- APIs and integrations for embedding semantic search, question answering, and data pipelines
- Structured exports: JSON, CSV, and graph formats
Use Cases
- Create a central, searchable compliance knowledge base from contracts and regulatory filings using dedoctive's bulk ingestion, named-entity and relation extraction, and automated summarization to enable semantic search and QA for auditors, with exports to JSON/CSV and graph formats for downstream reporting
- Build a product R&D knowledge graph by processing lab reports, patents, and research papers through dedoctive's relation extraction and reasoning pipeline to map materials, processes, and outcomes, run semantic queries and visualizations, and export graph data for integration with BI or visualization tools
- Automate customer-support and onboarding documentation by ingesting support tickets, manuals, and chat logs into dedoctive to extract FAQs, entities, and causal relations, generate concise summaries and an FAQ-ready semantic search layer for AI-assisted responses, and export CSV reports for analytics
Who is it for?
- Software developers
- Data engineers
- Decision makers
- Business analysts
- Academic researchers
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