First thing's first. You gotta meet Entrepreneur First. They run a 3-month program where you can meet your future co-founder, build your idea from scratch, potentially get funded and beyond!

They've just had their first-ever "Global Reveal" (aka, global demo day), where they announce the startups that made it through their program and were given funding.

• Their program is run in six cities globally — with Singapore being their only city in SEA.
• They recently raised a $158M Series C round.

This year, seven Singaporean startups bagged funding after the program!

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👋🏼 Say hello

💻 Ailiverse. They're a no-code platform that lets you create custom deep learning models 10x faster — even with zero AI experience.

• Since their May 2022 launch, they've generated five figures in revenue from US and Singapore-based customers.

‍🔐 Better Data. While data privacy is important, companies still need data for key insights. They make data sharing both instant and secure by automating processes and creating "synthetic data" that looks, feels and behaves just like the real thing — while keeping data privacy.

💰 Bluejay Finance. They're a protocol focused on building Asian stablecoins pegged to local currencies.

• They raised a $2.9M seed which we covered in July.

🤩 Ezzayo. They let you run no-code and agent-based simulations to test and validate your web3 tokenomics (aka, the economics behind your crypto token) fast.

• Tokenomics is at the core of any crypto ecosystem, but it's difficult, time-consuming and expensive to find out if the tokenomics behind the system even works. If it doesn't, it can kill the project.

🩸 Haemetrics. They're a femtech startup that allows women to get affordable blood tests to help them quickly and quantitatively analyze female reproductive health-related hormones.

• They're building state-of-the-art testing platforms that are automated and usable for fast on-site testing at clinics.

💡 Lumeros AI. They automate testing across every stage of the machine learning project lifecycle.

• Their tech reduces the time machine learning professionals spend manually testing by 90%.

🔢 Staq. Their platform uses machine learning to help SMEs in SEA share their financial data with banks and fintechs in minutes. And yes, it's secure!

• Usually, getting this data is tough to do and might even be incomplete or outdated.