Company Overview

MoBagel is a key vendor of a no-code AI/ML platform, as recognized by Gartner in 2020, 2021, and 2022. Decanter AI, the no-code AI/ML platform, empowers data scientists and domain experts to design and build AI solutions together. Through partnerships with key partners such as Dentsu Group, Deloitte and JETRO to build no-code AI solutions together, Decanter AI has quickly accumulated over 100,000 users and is well-positioned to continue driving innovation and growth for sustainability.

MoBagel is a Series A company that has raised over $21 million in funding to fulfill our vision of “Solve with AI, Build Sustainability Together”. Following our mission, we have served over 3,000 brands in various industries, including Fortune 500 companies in manufacturing, healthcare, telecommunications, finance, e-commerce, retail, supply chain and logistics, and digital marketing.

Here are some of the credits that MoBagel has received:

• Gartner Report - Top 10 Strategic Tech Trends for 2020 : Key Vendor of AI/ML platform
• UC Berkeley SkyDeck (UC Berkeley’s premier startup accelerator)
• SoftBank Innovation Program (1st Round Winner)
• Nokia Innovation Challenge (Top Prize of 400 startups)
• Microsoft x Coca-Cola Smart Retail Hackathon (1st Prize in Greater China Region)
• Microsoft Accelerator Beijing (1.89% of 1,000 startups)
• Plug and Play IoT Expo (1st Prize of 300 startups)
• Orange Fab Asia - Tokyo
• Intel AI Builder Program

MoBagel’s Product
Decanter AI is an AI/ML platform that focuses on automating the entire data analytics process using a next generation of AutoML and time series forecasting technologies, such as automated data cleaning, automated pre-processing, automated feature engineering, automated feature selection, automated hyperparameter tuning, automated model training and scoring, stacking, ensembling and automated deep learning.

Through the optimization of efficiency in computing time and memory management, Decanter AI has achieved a computing time and efficiency of 110 times faster than Google AutoML Tables, and 10 to 1000 times faster than using Python Scikit-learn for model building, and at the same time having a much more robust system execution of distributed computing, parallel computing and memory optimization.

MoBagel’s Culture

• We strongly believe in our cultural values of SOLVE (Share, Open, Lead, Vision, Engage) to create value and how it drives both individual personal growth and the growth of our company as a whole. The ideal MoBageler should be willing and able to solve problems with the SOLVE mentality.
• SOLVE 解決問題、加值利他
• S for Share ：願意分享資訊、知識、想法及感受
• O for Open : 開放接受多元價值及問題方法
• L for Lead : 帶領他人成長
• V for Vision : 拓展視野、積累專業洞察
• E for Engage : 主動承諾與行動，在乎彼此互動感受與安全感