High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing

This business research case introduces Cogent Labs, a Japanese high-tech start-up that provides AI-driven technologies, is making the critical transition from an entrepreneur-driven to a mature management-run organization, the company’s business context and technology development. That requires to h...

Full description

Bibliographic Details
Main Author: Calvo Jorge
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:International Journal of Entrepreneurial Knowledge
Subjects:
Online Access:http://www.degruyter.com/view/j/ijek.2018.6.issue-2/ijek-2018-0011/ijek-2018-0011.xml?format=INT
id doaj-da3bd2948c2a46b3a12d95b647d2897e
record_format Article
spelling doaj-da3bd2948c2a46b3a12d95b647d2897e2020-11-25T00:00:44ZengSciendoInternational Journal of Entrepreneurial Knowledge2336-29602018-12-0162123110.2478/ijek-2018-0011ijek-2018-0011High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process OutsourcingCalvo Jorge0GLOBIS University Graduate School of ManagementTokyo, JapanThis business research case introduces Cogent Labs, a Japanese high-tech start-up that provides AI-driven technologies, is making the critical transition from an entrepreneur-driven to a mature management-run organization, the company’s business context and technology development. That requires to harmonize the entrepreneurial and managerial capacity, by a collaborative approach integrating cross-functional product teams. The high-tech start-up has demonstrated ability to overcome the transitional stage of the first entrepreneurship to stability and sustainability through the management, while at the same time keeping innovation by adding Natural Language Processing and Times-Series developments, and creativity; rapidly developing new products. The business case demonstrates that in the start-up to managerial transition of a high-tech start-up the key success factor lies in the motivation and coordination of the different professional cultures -scientific and engineering- that should collaborate in the AI research and fast development of viable products. The method is based on interviews conducted with key executives and a strategic analysis of the firm and its rapidly evolving context in terms of artificial intelligence (AI) and deep learning. The start-up company develops AI-based applications like Tegaki AI, supporting their initial clients from the financial sector in the incremental automation of business processes, based on AI-and Internet of Things (IoT)-driven business processes. Tegaki AI triggers non-strategic business decisions through optical character recognition (OCR) and optical handwriting recognition (OHR) algorithms that show 99.2% accuracy. This business case describes the context of entrepreneurship ecosystems in Japan and the economic emergence of business smartization solutions through the new AI paradigm and OHR.http://www.degruyter.com/view/j/ijek.2018.6.issue-2/ijek-2018-0011/ijek-2018-0011.xml?format=INTEntrepreneurshipStart-upArtificial IntelligenceBusiness ProcessOptical Handwriting RecognitionOptical Character RecognitionMachine LearningNatural Language Processing
collection DOAJ
language English
format Article
sources DOAJ
author Calvo Jorge
spellingShingle Calvo Jorge
High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing
International Journal of Entrepreneurial Knowledge
Entrepreneurship
Start-up
Artificial Intelligence
Business Process
Optical Handwriting Recognition
Optical Character Recognition
Machine Learning
Natural Language Processing
author_facet Calvo Jorge
author_sort Calvo Jorge
title High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing
title_short High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing
title_full High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing
title_fullStr High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing
title_full_unstemmed High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing
title_sort high-tech start-ups in japan: cogent labs, ai-ocr solutions for automated business process outsourcing
publisher Sciendo
series International Journal of Entrepreneurial Knowledge
issn 2336-2960
publishDate 2018-12-01
description This business research case introduces Cogent Labs, a Japanese high-tech start-up that provides AI-driven technologies, is making the critical transition from an entrepreneur-driven to a mature management-run organization, the company’s business context and technology development. That requires to harmonize the entrepreneurial and managerial capacity, by a collaborative approach integrating cross-functional product teams. The high-tech start-up has demonstrated ability to overcome the transitional stage of the first entrepreneurship to stability and sustainability through the management, while at the same time keeping innovation by adding Natural Language Processing and Times-Series developments, and creativity; rapidly developing new products. The business case demonstrates that in the start-up to managerial transition of a high-tech start-up the key success factor lies in the motivation and coordination of the different professional cultures -scientific and engineering- that should collaborate in the AI research and fast development of viable products. The method is based on interviews conducted with key executives and a strategic analysis of the firm and its rapidly evolving context in terms of artificial intelligence (AI) and deep learning. The start-up company develops AI-based applications like Tegaki AI, supporting their initial clients from the financial sector in the incremental automation of business processes, based on AI-and Internet of Things (IoT)-driven business processes. Tegaki AI triggers non-strategic business decisions through optical character recognition (OCR) and optical handwriting recognition (OHR) algorithms that show 99.2% accuracy. This business case describes the context of entrepreneurship ecosystems in Japan and the economic emergence of business smartization solutions through the new AI paradigm and OHR.
topic Entrepreneurship
Start-up
Artificial Intelligence
Business Process
Optical Handwriting Recognition
Optical Character Recognition
Machine Learning
Natural Language Processing
url http://www.degruyter.com/view/j/ijek.2018.6.issue-2/ijek-2018-0011/ijek-2018-0011.xml?format=INT
work_keys_str_mv AT calvojorge hightechstartupsinjapancogentlabsaiocrsolutionsforautomatedbusinessprocessoutsourcing
_version_ 1725443670691282944