AI for Search

Updated: January 26, 2020

2019. Salesforce brought AI power to its search tool


Salesforce announced Einstein Search - an AI-powered search tool for Salesforce users that is designed to point them to the exact information for which they are looking. For starters, it might not know the popularity of a given topic like Google, but it can learn the behaviors of an individual and deliver the right answer based on a person’s profile, including geography and past activity to deliver a more meaningful answer. Next, it allows you to enter natural language search phrasing to find the exact information you need, and the search tool understands and delivers the results. Finally, based on what the intelligence engine knows about you, and on your search parameters, it can predict the most likely actions you want to take and provide quick action buttons in the results to help you do that, reducing the time to action.


2019. Workplace AI assistant Capacity raised $13.2M


Capacity (former Jane.ai), the startup which is solving information scatter inside enterprises, has raised new cash to tackle the issue with its corporate data search platform. The company just closed a $13.2 million Series B. Capacity helps its customers pull all of their organizational data together into a platform that makes company information more accessible to people inside the company. It’s all done through a chat interface and directory that employees can use to search for information. There’s a pretty high degree of flexibility in customizing how questions are answered and when a line of questioning gets routed to a person onsite.


2019. AlphaSense, a search engine for business, raised $50M


AlphaSense, which provides a way for companies to quickly amass market intelligence around specific trends, industries and more to help them make business decisions, has closed a $50 million round of funding, a Series B that it’s planning to use to continue enhancing its product and expanding to more verticals. One interesting aspect of AlphaSense is how it’s both focused on pulling in requests as well as set up to push information to its users based on previous search parameters. Currently these are set up to only provide information, but over time, there is a clear opportunity to build services to let the engines take on some of the actions based on that information, such as adjusting asking prices for sales and other transactions. The company counts some 1,000 clients on its books, with a heavy emphasis on investment banks and related financial services companies.


2017. Box applied AI to content management



Box has just unveiled Skills and the related SDK, Skills Kit. With these new offerings, organizations and developers now have the ability to pull insights from their massive content stores in Box data sets and apply machine learning to release the intrinsic commercial value in that content. Box is previewing three initial Box Skills, using machine learning tools from Google Cloud and Microsoft Azure to solve common business use cases: Those use cases include: Image recognition (detecting individual objects and concepts in image files, capturing text through optical character recognition (OCR), and automatically adding keyword labels to images to easily build metadata on image catalogs), Audio Transcription & Analysis (uses audio files to create and index a text transcript that can be easily searched and manipulated in a variety of use cases), Video Indexing (analyzes video files to provide text transcription, topic detection and indexing, and facial recognition).