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Agolo Entity Intelligence

Next generation entity resolution and understanding technology, designed for organizations with large, business-critical text-based document collections. 

An AI-Powered Entity Intelligence Solution to Transform Unstructured Data into Valuable Insights

Agolo Entity Intelligence is an AI-powered entity resolution engine that detects and classifies entities within documents using contextual and semantic understanding of an organization's entire document collection. It's multilingual and scalable, helping organizations transform entities into identities and unlock the full value of their text-based assets.

  • Entity Resolution in Documents

    Automatically identifies and resolves standard entities (i.e. people, places, organizations) and custom entities (e.g. processes, concepts, groups) within documents of any type

  • Multilingual Entity Resolution

    Supports entity resolution across multiple languages, via proprietary semantic vectoring methodology. Agolo supports the analysis of multiple language types, including Arabic, Mandarin, and Russian - in addition to a host of Western languages

  • Support for "Ghost" Entities

    Supports “ghost” entities, by continually developing it’s understanding of any unknown entities it discovers, until it can confidently: (1) Assign to an existing entity, or; (2) Create a net new entity

Technical Features

  • Multi-Tenancy: Application supports multiple, isolated environments and full tenant management functionality.

  • Human-in-the-Loop Support: Although the system can operate autonomously, it also supports any degree of human oversight to ensure data integrity.

  • Configuration Settings Allow for Use Case Specific Tuning: Confidence thresholds can be set and later adjusted by system administrators to ensure that for each use case, the data integrity meets SLAs.

  • Componentized Architecture Provides Integration Flexibility: Many organizations have invested in effective NLP technologies, e.g. entity extraction, knowledge graphs, etc. Agolo’s Entity Analytics componentized architecture is designed with high flexibility to leverage existing NLP technologies when present.

  • Leverage Existing Structured Data: Ontologies, taxonomies, and other structured entity data from traditional databases and knowledge graphs can be leveraged to seed or enrich the knowledge base.

  • Enterprise-grade Containerized APIs, available on-prem, private/public cloud, or via Agolo-hosted API.

  • Extensible Interface: The included user interface is included with every deployment as white-label, extensible source code that can either be customized per use case or used as a starter application until the APIs can be integrated into the customer’s environment.

  • Proven at Scale: Proven at Scale: Agolo is proven at enterprise scale. Our solution has been designed, optimized and tested to perform at scale. The platform has been proven with some of the largest unstructured datasets.