Skip to main content

Ajaib raises $65M Series A extension led by Ribbit Capital, increasing the round’s total to $90M

Ajaib, the Indonesian investment app, has added $65 million to its Series A, bringing the round’s new total to $90 million. The extension was led by Ribbit Capital, the fintech investor that also led Robinhood’s $3.4 billion funding last month. Ajaib is Ribbit Capital’s first investment in Southeast Asia.

The extension will be used to expand Ajaib’s product development and engineering capabilities. The startup, which claims to run the fourth largest stock brokerage in Indonesia based on number of trades, announced the $25 million first closing of its Series A in January. Other participants included Y Combinator Continuity, ICONIQ Capital, Bangkok Bank PLC, and returning investors Horizons Ventures, SoftBank Ventures Asia, Alpha JWC and Insignia Ventures. David Velez and SG Lee, the founders of fintech startups Nubank and Toss respectively, also invested.

Ajaib was founded in 2019 by chief executive officer Anderson Sumarli and chief operating officer Yada Piyajomkwan. It is among a new crop of fintech startups that are focused on making stock investing more accessible to first-time investors. In Indonesia, less than 1% of the population own stocks, but that number is increasing, especially among millennials.

Other investment apps in Indonesia that have also raised funding recently include Pluang, Bibit and Bareksa. Ajaib’s founders told TechCrunch in January that it differentiates as a low-fee stock trading platform that also offers mutual funds for diversification.

In a press statement, Ribbit Capital managing partner Micky Malka said, “We are witnessing an unprecedented revolution in retail investing around the world. Ajaib is at the forefront of this revolution and is on their way to building the most trusted brand in the market. Their commitment to bring transparency and serve Indonesia’s millennial investors with the best products is at par with the best companies worldwide.”



from TechCrunch https://ift.tt/3u652xd
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT