Nuclia

By automatically ingesting, processing, and indexing content from any internal or external source, Nuclia creates a searchable AI knowledge repository that delivers accurate, citation-backed answers to natural language queries rather than simple keyword matches.

The platform's data ingestion capabilities are exceptionally broad. Nuclia handles text documents, PDFs, spreadsheets, audio files with automatic transcription, video files with content extraction, and images with embedded text parsing.

This multi-modal ingestion pipeline means organizations can unify information that currently lives in siloed, incompatible formats into a single, queryable knowledge base that the AI can reason across holistically.

The result is a dramatically more comprehensive internal search experience than traditional document management systems provide.

Nuclia's Named Entity Recognition engine automatically detects 16 categories of entities out of the box and indexes them to generate a Knowledge Graph from ingested content.

This graph layer enables relationship-aware queries that surface connections between people, organizations, locations, dates, and concepts across documents providing the kind of contextual intelligence that raw keyword search fundamentally cannot achieve.

The Knowledge Graph grows richer as more content is indexed, compounding the value of the platform over time.