Problem

The focus of business intelligence is on the acquisition and storage of huge quantities of data and leveraging that data into actionable insights. One source of data that is available in abundance and might help identify competitors, threats, or potential customers is unstructured text from document repositories and dynamic data streams (e.g. Twitter, RSS Feeds, Web Search). However, even modern systems struggle to effectively utilize these data sources, and they remain predominately untapped.

Solution

Artificial intelligence systems, especially those powered by deep learning, are remarkably adept at parsing and mining large amounts of unstructured text. Synapse uses cutting edge deep learning algorithms to allow users to mine text for insights, organize those findings, and expand their search. Synapse is connected with master lists of PubMed and Patents, and is also designed to securely ingest and analyze user sources. Once a Smart Table is connected to these sources, deep learning agents can explore the data and populate it with their findings. Synapse is able to search for terms and identify trending entities, as well as answer questions about the data posed in natural language. Search for all companies using CRISPR technology, expand your search to semantically similar technologies, and then populate columns with the CEOs and locations of those companies. Allow Synapse to uncover the information hidden in text for your business intelligence use cases.

Read About Other Use Cases

Legal Research

Manual research is time consuming and modern search tools are limited in scope. Synapse utilizes its understanding of semantics to drive efficient discovery and allows the focus to return to the current case.

Rare Disease Research

Rare diseases are those that affect less than 200,000 people and, as can be expected, studying these elusive diseases can be difficult. Synapse allows efficient and deep exploration of massive amounts of text data that might otherwise remain hidden.