Search & Content Analytics

As data grows, insight-driven enterprises need to reinvent their data supply chains to stay agile and create competitive advantages. Harnessing the power of unstructured data (documents, images, emails, media, etc.) is vital to this process. But as 80 percent of all data is unstructured, this is not an easy task.

Combining AI technologies like machine learning and natural language processing with search and analytics, we can help unlock hidden value within your unstructured data and deliver transformative business outcomes.

From our experience, there are many technical challenges that available commercial or open source search, analytics, and NLP solutions cannot solve. As a result, we’ve developed a range of platform-independent technology assets to fill the gaps in clients’ projects. Available as standalone assets or as part of AIP+, these assets can help you accelerate project timelines and increase speed-to-value.

Technology Overview: An optimized architecture incorporating search engines, our technology assets, and complementary technologies for creating powerful search, analytics, NLP applications

Aspire Content Processing Framework: A proven framework for acquiring and enriching unstructured data, providing relevant, rich context for search, analytics, and NLP applications

Content Connectors: Securely connect to over 50+ content sources

In addition to the above assets that’ve been deployed in hundreds of client projects, we continue to innovate in the NLP/NLU area with the development of Saga Natural Language Understanding Framework. A new R&D initiative, Saga helps create and maintain scalable enterprise language models for user interaction and document understanding.