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Tech in Asia
July 2, 2021

Tech in Asia: 50 rising startups in Singapore

Which startups are on the path to becoming the next big thing? One way to tell would be to check when they've raised a new round. Using Tech in Asia data, we've generated a list of startups in Singapore that have recently raised funding.

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Chang Wei Tan, Data Scientist
June 16, 2021

Meet the Team: Chang Wei Tan, Data Scientist

Chang Wei is a Data Scientist at Stemly. He studied Electrical Engineering at Monash University, Melbourne, and further his studies with a Ph.D. in Machine Learning, specializing in Scalable Time Series Classification.

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The Business Times
June 9, 2021

The Business Times: Singapore’s ING Labs spin-out Stemly raises US$2.5m in seed funding

STEMLY, a platform which helps to optimise solutions for supply chain and finance industries, has raised US$2.5 million in seed funding to chart growth.

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ING
June 9, 2021

ING: Answers for supply chain planners

Information is essential to making good decisions. But what happens if you don’t have it?

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Tech in Asia
June 8, 2021

Tech in Asia: SaaS startup incubated by ING Labs Singapore bags $2.5m from Elev8, others

ING Group NV, the largest bank in the Netherlands, has announced that its startup incubator ING Labs Singapore has spun out software-as-a-service platform Stemly.

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Finextra Research: Latest FinTech
June 8, 2021

Finextra: Stemly spins out from ING Labs in Singapore

Stemly, a supply chain inventory management and finance startup incubated by ING Labs in Singapore has been spun out as an independent venture.

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The Hong Kong Economic Times
June 8, 2021

The Hong Kong Economic Times: ING Bank pushes Fintech to foster start-ups

ING officially announced that Stemly, a software-as-a-service (SaaS) startup platform, will be spun off from ING Labs Singapore, an innovation laboratory in Singapore.

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February 1, 2021

How can AI and ML improve your Demand Planning Process?

Technology is advancing at an increasingly rapid pace, many of the things that we thought were a dream a few years ago are reality today. Artificial Intelligence (AI) and Machine Learning (ML) for use in demand planning have been talked about for a long time and have promised much but delivered little. Until now.

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