News
Huspy Raises $37 Million To Accelerate Expansion Across EMEA
The company wants to use the funds to invest in technology development, expand into new markets across Europe, and boost growth in regions where it already operates.
PropTech startup Huspy has just raised $37 million in a Series A funding led by Sequoia Capital India.
Also participating in the round of venture capital financing were California-headquartered venture capital firms Founders Fund, Fifth Wall, and Chimera Capital, which joined returning investors Breyer Capital, BY Venture Partners, COTU, VentureFriends, and Venture Souq.
The company wants to use the funds to invest in technology development, expand into new markets across Europe, and boost growth in regions where it already operates.

“In just under two years, Huspy has grown to become one of the largest property platforms, facilitating billions of dollars in volume. Today, we’re humbled to partner with global and regional investors, and we look forward to working together to reshape the world’s largest asset class,” said Jad Antoun, co-founder & CEO of Huspy.
Launched in 2020, Huspy strives to streamline the home buying experience by creating a modern platform connecting home buyers with leading property agents and trusted financial institutions.
It took Huspy just one year of operations to become the leading mortgage provider in the United Arab Emirates, with an annual run rate of more than 1 billion USD.
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The startup has successfully recruited talent from some of the world’s top tech companies, including Compass, Gympass, Loft, Loggi, Microsoft, Quinto Andar, SumUp, and Uber. It also employs a team of brokers with over 20 years of experience working for banks like Emirates NBD, RAKBANK, ADIB, and DIB.
“In a short span of time, the company has demonstrated its strong value proposition for the real estate ecosystem and has become the market leader in mortgage broking in the UAE with healthy unit economics,” commented GV Ravishankar, MD, Sequoia India.
The PropTech market is expected to grow at a CAGR of 16.8% between 2022-2032 as startups and incumbent real estate companies use modern technology to make the home buying experience less stressful.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
