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Loop AI Labs- Intelligent Automation Platforms

Vendor Analysis

by Mike Smart

published on Aug 14, 2019

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Report Overview:

This NelsonHall vendor assessment analyzes Loop AI Labs' offerings and capabilities in Intelligent Automation Platforms.

Who is this Report for:

NelsonHall’s Intelligent Automation platform vendor assessment for Loop AI Labs is a comprehensive assessment of Loop AI Labs’ cognitive automation offering and capabilities, designed for:

  • Sourcing managers investigating sourcing developments within Intelligent Automation
  • Automation decision makers exploring the benefits and inhibitors of Intelligent Automation as evidenced from the clients and vendor capability
  • Vendor marketing, sales and business managers developing strategies to identify developments and target opportunities within managed service programs
  • Financial analysts and investors specializing in, or covering the Intelligent Automation industry and suppliers.

Scope of this Report:

The report provides a comprehensive and objective analysis of Loop AI Labs’ offering, capabilities, and market and financial strength, including:

  • Identification of the company’s strategy, emphasis, and new developments in both its service and technology
  • Analysis of the company’s strengths, challenges, and outlook
  • Revenue
  • Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
  • Analysis of the company’s key offerings (service model and service components)
  • Analysis of the company’s delivery capability (including the location, size and scale of delivery operations; and delivery via technology).

Key Findings & Highlights:

Loop AI Labs’ primary offerings include:

  • Loop Q: the company's autonomous learning cognitive platform, made up of:
    • Loop Learning Appliance
    • Loop Reasoning Appliance
  • Q Robots: the self-learning cognitive automations that use Loop Q to learn and work.

Loop Q learns from documented workflow and from humans’ interactions with the legacy systems during the workflow process. Loop AI Labs' product aims to condense learning into the time necessary to ingest and process an existing body of workflow data, avoiding the need for assisted learning.

Loop targets the G2000 with particular focus on the BFSI, telecom, automotive sectors. Due to its heritage, Loop has a relatively high proportion of clients in Asia, following its largest region, Europe which has had a high level of sales effort in demonstrating the ability for the platform to handle multiple languages at once.

Table of contents:

Table of contents:

  • Background
  • Revenue Summary
  • Key Offerings
  • Delivery Capability and Partnerships
  • Target Markets
  • Strategy
  • Strengths and Challenges
  • Outlook

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