Kwik AI Enterprise Search

Kwik-AI-Search employs AI technologies such as machine learning, computer vision, semantic search, and natural language processing. It breaks down data silos in businesses, allowing information to be extracted from potentially any data source.

Platforms

iOS, Android, Web, macOS, Windows

Industry

Artificial Intelligence

Problem

  • The number of documents that are produced during the course of business operations are humongous. From invoices and work orders to manuals and knowledge assets, there are many documents captured and shared every hour within and outside the organization.

  • The average executive wastes six weeks per year searching for important documents. This data chaos is costly. According to PricewaterhouseCoopers, it costs a
    company $20 to file a document, $120 to find a misplaced document, and $220 to reproduce a lost document.

Solution

  • Kwik-AI-Search employs AI technologies such as
    machine learning, computer vision, semantic search, and
    natural language processing. It breaks down data silos in
    businesses, allowing information to be extracted from
    potentially any data source.

  • Kwik-AI-Search delivers smarter results faster and
    provides a single point of access to enterprise content
    sources, allowing data to be enhanced, searched, and
    analyzed in both structured and unstructured formats.

Features

Full Text Search

find your files quickly with the power of AI. Type the keyword and Kwik-AI-Search will identify keywords in your data. With a single click, it will find and even highlight the matching text for you in a fraction of a second.

Extract Data from Scans/Images

Extracts printed text and other data from scanned documents even from hand-written contents.

Search Suggestions

“Search-as-you-Type” can be enabled to provide search suggestions generating prefix sequences to support matches on partial terms.

Language Detection

It can detect language from each
documents.

Merge

Combines text from multiple fields to a single field. A common use case is to extract a caption from the scanned/image doc and then merge it with the content field of a document.

Entity Recognition

Identify people, location, organization, emails, datetime, URLs fields.

Challenges

Challenge #1

UNTAPPED POTENTIAL OF UNSTRUCTURED DATA

Solution

The Kwik-AI-Search platform holds the key to tapping the potential of unstructured data with semantic search technology. Semantic search classifies the unstructured data into entities with relations between them, and also extracts facts, events, and attributes, through a series of steps and is what you need to give structure to unstructured data and “read” it for actionable insights.

Challenge #2

INACCURATE AND/OR IRRELEVANT SEARCH RESULTS

Solution

This challenge can be addressed with semantic search and natural language processing technologies. For example, when you search ‘apple’ on Google, it uses semantics to provide relevant results related to Apple Inc. rather than the fruit, reducing noise and spam.

Challenge #3

SCATTERED DATA THAT IS CONSTANTLY GROWING

Solution

Kwik-AI-Search seamlessly integrates diverse data sources – emails, graphs, news feeds, social media, and images – making data management effortless and unlocking valuable insights for organizations

THE FINAL WORD

There are many ways in which the Kwik-AI-Search can help organizations overcome their challenges and meet their business goals. In addition to providing effective solutions to challenges we discussed above, the Kwik-AI-Search works in many ways to create an enhanced search experience for the users.

For in-depth product insights, grab the PDF case study download.

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