Products
Cognika Corporation has expanded its technology to fully accommodate structured and unstructured data sources, with ongoing research to address image, audio and video analytics in the near-future. The company’s current work includes novel solutions for automated analysis, design and optimization solutions, business intelligence, knowledge management, and anticipatory search for leading organizations in life sciences, health care, manufacturing and process industry, defense, homeland security, telecom and finance sector.
Cognika's product portfolio includes:
Cognika ESP Evoke™
The ESP Evoke™ module is the core engine for Cognika's analytics. It performs sophisticated analytics spanning multiple data-sources. This module can monitor both internal content and external content. It is capable of learning from various sources such as structured datasets, unstructured/semi-structured documents, as well as external content such as web-pages, blogs(with images, audio and video analysis soon to follow).
Cognika ESP Essence™
The ESP Essence™ module summarizes information from structured and unstructured information into a succinct readable report. It creates a concept-based summary of the underlying content that is relevant yet concise and conveys the synopsis of the content and can be customized to generate multiple summary-levels.
Cognika ESP Entity™
The ESP Entity™ module classifies content and generates taxonomies by organizing data into structures. The classification could be into various pre-defined categories (such as Ontologies), or auto-clustering content based on concepts. Automatic classification delivers the benefits of increased organizational productivity and overall cost reduction by automating content access, receipt, analysis and delivery. This classification make data more usable, providing users with information with a comprehensible structure.
Cognika ESP Enhance™
The ESP Enhance™ module learns from user profiles and contextual variables to make very accurate inferences. This module is leveraged for targeted advertising, product recommendations, individualized healthcare insights etc. The contextual variables are configurable to allow the end-users maximum flexibility to determine context using multiple variable such as local weather, date/time, geographic location, major events etc.
Cognika ESP Evolve™
Cognika ESP Evolve™ module learns from various interactrions and dynamically refines end-user recommendations, preferences and ratings. This machine-learning based profiling solutions accurately understands individuals' interests based on browsing, content consumption and/or content contribution. The learning represents a real-time understanding of user interests since it is based on both their explcitly defined criteria or implicitly through machine-learning. This module also enables an element of discovery by recommending novel content.
Cognika ESP Enquire™
Cognika ESP Enquire™ supports most formats, sources and languages, since most businesses have a complex mix of applications, technologies and formats. Cognika's Enquire™ module aggregates structured, semi-structured and unstructured data, regardless of location, language or format. Furthermore its very flexible query interface that allows for sophisticated query processing and easy integration using its SOA-based architecture, while hiding the underlying model complexity, without need for custom development.