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New Fintech App Aims To Improve Children’s Financial Literacy
A startup known as Leap has built an app to help kids track where their money is being spent, and to help them save more effectively.
For children and young teens, it can be hard (and not to mention boring!) to get a handle on topics such as budgeting and saving. Money and financial matters aren’t exactly a top priority for youngsters, but they are vital subjects to master in order to be better prepared for adult life.
To that end, UAE-based startup Leap has an ambitious goal of helping young people to make better financial decisions and to improve basic money management skills and literacy. The fintech company has developed an app aimed at young people and their parents, which works to incentivize good budgeting and saving habits.
“Financial literacy is a core life skill that is not readily taught while growing up. Most kids get their first taste of financial responsibility when they go off to college without the oversight and knowledge on managing their money. We’re committed to changing this reality and empowering kids as young as 6 years old to understand, value, and manage their money,” says Ziad Toqan, CEO and Co-founder of Leap.
Parents can transfer a child’s allowance into the app or have funds appear when certain milestones are achieved (such as good school grades). Children using the service will get a prepaid Visa card linked to their Leap account, allowing them to use their balance however they see fit.
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As well as helping to promote better budgeting and sensible spending, the app also diverts unused funds to a savings account at the end of each week, which Leap hopes will encourage kids to spend less and save more.
The app is available on both Apple and Android devices and is suitable for children between 6 and 18 years of age. Leap is currently focused on the UAE, but has plans to expand into Saudi Arabia and Egypt in the future.
News
OpenAI’s ChatGPT Health Is A Private Space For Health Data
A new health mode lets the popular AI platform tap medical records and fitness apps while walling off sensitive information.
OpenAI has created ChatGPT Health, a separate space inside its chatbot platform for handling medical and wellness data. The opt-in feature starts with a small US cohort before widening out.
Health-related questions have long driven traffic to AI tools. OpenAI says over 230 million people ask ChatGPT about health or insurance each week. The new mode adds personal context to that behavior but stops short of diagnosis or treatment advice.
Users can connect records from participating US providers through b.well and link apps such as Apple Health, MyFitnessPal, Function and Weight Watchers. Some links are US-only, while Apple Health needs iOS. Once connected, ChatGPT can surface patterns in labs, summarize information ahead of a clinic visit or help map diet and exercise choices against past data.
The data sits apart from other chat information. Health has its own memories and does not spill into other conversations. Users can view or delete health memories at any time. OpenAI says this material is not used to train its models.
Security is much heavier in this section too. Health adds isolation and purpose-built encryption on top of the platform’s baseline protections. App connections require explicit permission, and disconnecting cuts the feed immediately.
“ChatGPT Health is another step toward turning ChatGPT into a personal super-assistant that can support you with information and tools to achieve your goals across any part of your life,” wrote Fidji Simo, OpenAI’s applications chief.
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Physicians had input during development, though OpenAI has not detailed how that shaped the end product. The launch follows Health Bench, a dataset released in May to test models on realistic medical cases.
While currently rooted in the US healthcare ecosystem, the approach may draw interest in the Gulf and wider MENA markets as governments push digital health records and patient portals under modernization programs. Adoption will depend on whether users trust an AI assistant with such personal material and whether it fits clinical routines.
For OpenAI, the move marks a cautious step into regulated terrain and signals a shift toward sector-specific uses of generative AI.
