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Loop AI Labs - RPA & AI Technology Evaluation

Vendor Analysis

by David Mayer

published on Jan 30, 2018

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Report Overview:

This NelsonHall assessment analyzes Loop's offerings and capabilities in RPA & AI Technology Evaluation.

Who is this Report for:

NelsonHall’s RPA and AI technology evaluation 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 RPA 
  • Automation decision makers exploring the benefits and inhibitors of RPA 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 RPA 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:

Founded in 2012 by serial entrepreneur GM Calafiore and ex-SRI AI scientist Dr. Bart Peintner, Loop AI Labs is among the newer competitors in the RPA & AI (cognitive computing) industry. Calafiore and Peintner were joined by Chief Scientist, Dr. Patrick Ehlen, who also comes from SRI International.    

BFSI (banks and insurance companies), utilities, manufacturing, and communications and media are currently focus pursuit areas for Loop AI Labs. 

NelsonHall estimates its 2017 annual revenues at $8m annually. 

Loop’s solution has two components. Loop Q is an integrated hardware  and software appliance that provides cognitive capabilities for enterprise automations, and can be extended to support other enterprise software applications as well. Q Robots are the automations that result from the learning and reasoning process of Loop Q’s data ingest phase.  

Table of contents:

Table of contents:

  • Background
  • Revenue Summary
  • Key Offerings
  • Loop Q
  • Q Robots
  • Security
  • Delivery Capability and Partnerships
  • Target Markets
  • Geographic
  • Organizational Size
  • Industry Vertical
  • Strategy
  • Evolve to multimodal cognitive reasoning
  • Add cognitive product support to the network edge
  • Extend deployment training at the partner level
  • Strengths and Challenges
  • Strengths
  • Challenges
  • Outlook

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