What knowledge and insights are trapped in your unstructured data? Find better answers with AI-powered search and analytics solutions.
Unlock new value from your unstructured data
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.
At Search and Content Analytics, our mission is to help enterprises unlock the full value within their unstructured and structured data. See more.
From intranet and website search to compliance monitoring, document understanding, and exploring molecular data, we bring comprehensive search, analytics, and natural language processing services to clients across industries.
A single point-of-access to enterprise structured and unstructured content, allowing cross-functional users to find, analyze and unlock more value from data
As machine learning and natural language processing advance, demand for AI-powered search and analytics solutions will become more prevalent. We help clients build these intelligent solutions to drive transformation across all business functions.
Intelligent enterprise search
Use AI technologies like NLP, semantic understanding, and machine learning to deliver cognitive search and improve knowledge management. Learn more
Intelligent document understanding
Extract insights from resumes to complex compliance, legal, and financial documents, to improve business processes and outcomes. Learn more
Intelligent knowledge management
Enhance enterprise knowledge acquisition, sharing, management and discovery using practical strategy combined with AI and cognitive search.
Data storage optimization analytics
Provide visibility into enterprise data storage and reduce costs by deleting or migrating stale and obsolete content. Learn more
Website & portal search
Improve the user’s search experience and business results, from intranets and support portals to e-commerce sites and other public-facing websites.
Enterprise data lakes
Unlock actionable insights by providing a 360-degree view of the enterprise from both structured and unstructured data.
Natural language understanding systems
Process and understand natural language queries and relevant business content to produce actionable insights.
Log search & analytics
Scale and customize enterprise-class log analytics applications for operational performance and intelligence in IT and business. Learn more
Compliance & threat monitoring
Search and analyze unstructured data to monitor and react quickly to compliance issues, security or insider threats, fraud, and other adverse events
Technology assets for search, analytics, and NLP
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
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.