MoBagel’s IoT solution aims to help clients reduce the barriers of time and cost required to process and understand large amounts of complex IoT data. Through an automated machine learning process, MoBagel converts raw IoT data directly to actionable insights such as business monetization, revenue maximization and cost-reduction. At the heart of MoBagel’s solution is the Decanter technology. Decanter is a Big Data AI engine that automatically filters out meaningless data and optimizes machine learning algorithms. Since Decanter does not require human interference in order to function, it allows anyone to use utilize deep learning and predictive analytics for their device. With Decanter, marketers and executives can get the right actionable insights without the need of hiring data scientists.

Type
Private
HQ
San Jose, US
Founded
2009
Size (employees)
22 (est)+5%
Decanter (MoBagel) was founded in 2009 and is headquartered in San Jose, US
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Key People/Management at Decanter (MoBagel)

Adms Chung

Adms Chung

CEO & Co-Founder
Ken Lin

Ken Lin

CTO & Co-Founder
Iru Wang

Iru Wang

COO & Co-Founder
Kevin Shyu

Kevin Shyu

VP of Engineering
Albert Shih

Albert Shih

Director of Marketing
Jimmy Weng

Jimmy Weng

Director of Product Management
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Decanter (MoBagel) Office Locations

Decanter (MoBagel) has offices in San Jose and Da’an District
San Jose, US (HQ)
3165 Olin Ave
Da’an District, TW
182 Section 2, Dunhua S Rd
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Decanter (MoBagel) Financials and Metrics

Summary Metrics

Founding Date

2009

Total Funding

$3 m

Latest funding size

$3 m

Time since last funding

a year ago

Investors

Decanter (MoBagel)'s latest funding round in April 2017 was reported to be $3 m. In total, Decanter (MoBagel) has raised $3 m
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Decanter (MoBagel) Online and Social Media Presence

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