logo
Hub71 records $2.17 billion in startup funding as Abu Dhabi rises among global tech hubs

Hub71 records $2.17 billion in startup funding as Abu Dhabi rises among global tech hubs

Khaleej Times24-04-2025

Hub71, Abu Dhabi's global tech ecosystem, on Thursday announced that in 2024, startups within its purview secured a record $2.17 billion (Dh8.02 billion) in funding; a 44.7% year-on-year increase from $1.5 billion in 2023.
Revenue generated by startups also climbed to $1.2 billion, up from $1 billion the previous year.
During the year, Hub71 received over 3,100 applications from entrepreneurs representing more than 20 countries, highlighting the growing global appetite to build from the UAE capital. Of the 46 startups selected, approximately over 70% came from international markets, with more than half in the Seed or Series A stages. Startups from the US, UK and Germany, made up nearly 63% of Cohort 16, cementing the city's reputation as a gateway between established tech hubs and high-growth emerging markets.
Ahmad Ali Alwan, chief executive officer of Hub71, said: 'Hub71 began as an ambitious idea to enable founders to build from Abu Dhabi. That idea has since grown into a thriving community of entrepreneurs, investors, and partners working together to drive lasting impact. The progress captured in this report reflects the strength of our ecosystem and the trust placed in us by those who believe in Abu Dhabi's long-term potential. As we look ahead, our focus remains on empowering founders and positioning Abu Dhabi as a global hub for technology and innovation.'
Hub71's momentum mirrors Abu Dhabi's growing status on the global startup map. According to the 2024 Global Startup Ecosystem Report, the emirate is the fastest-growing emerging startup ecosystem in Mena, with its ecosystem value rising 28% to $4.2 billion between mid-2021 and end-2023. StartupBlink's 2024 rankings placed Abu Dhabi sixth regionally and second in the UAE, reinforcing its rising global profile.
Much of this rapid growth has been fueled by Hub71, which is driving sector-wide transformation through its specialist ecosystems. Hub71+ Digital Assets, Hub71+ ClimateTech, and the newly launched Hub71+ AI are attracting startups that are developing impactful solutions to some of the world's most pressing challenges. Startups in the Digital Assets programme alone have raised more than $100 million, while partnerships with global tech leaders like Google, NVIDIA, Solana, Hashed and AWS are accelerating innovation across Web3, AI, renewable energy, and deep tech.
This sector-driven approach is also contributing to the development of Abu Dhabi's strategic economic clusters. From enabling breakthroughs in smart mobility through the SAVI cluster, to advancing sustainable agriculture and food security via the AGWA cluster, Hub71 is playing an active role in positioning Abu Dhabi as a global center for innovation across critical industries.
Funding networks expand, angel capital activates
Capital access remains a central pillar of Hub71's strategy. In 2024, capital partners deployed $65 million into its startup community. The global tech ecosystem welcomed new investors, including Princeville Capital, The Catalyst, and Golden Gate Ventures.
Meanwhile, Tech Barza, Hub71's exclusive capital club for family offices, recorded its first startup deal and a 10% increase in membership. To unlock early-stage capital, Hub71 launched the Angel Investor Support Package empowering five new angel networks, including Falcon Valley and Qora71, to facilitate more early-stage ticket investments, thereby accelerating the growth and scalability of startups within the Abu Dhabi ecosystem.
Strategic partnerships
Beyond funding, strategic partnerships remain a key pillar of Hub71's value proposition, playing a critical role in helping startups gain traction. In 2024, startups signed 91 corporate deals with government and private sector partners worth $28 million, accelerating their ability to scale and commercialize their solutions.
Programmes like the Regulatory Sandbox, co-developed with the Abu Dhabi Department of Economic Development (ADDED), Abu Dhabi Mobility, and the Abu Dhabi Agriculture and Food Safety Authority (ADAFSA), enabled startups to pilot cutting-edge technologies in sectors such as smart mobility, digital health, food innovation, and alternative proteins.
Startup successes
In a year marked by an evolving funding environment, Hub71 startups captured investor attention with landmark raises that signal both global relevance and real-world impact. FinTech startup FlapKap, raised $34 million in pre-Series A funding to expand its AI-driven lending solutions across the GCC. ClimateTech pioneer 44.01 secured $37 million in Series A funding to scale its CO₂ mineralisation technology that transforms captured emissions into rock, contributing to global decarbonisation. Meanwhile, HealthTech innovator BioSapien closed a $5.5 million pre-Series A round to accelerate clinical trials of its MediChip, a 3D-printed implant that delivers localized cancer treatment with minimal side effects.
Today, Hub71 is home to a vibrant community of founders building high-impact startups that address global challenges and unlock new markets; driven by access to capital, expert support and sector-specific expertise to attract top talent and fuel Abu Dhabi's innovation agenda.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Snowflake Unveils AI Data Cloud Innovations at Summit 2025
Snowflake Unveils AI Data Cloud Innovations at Summit 2025

TECHx

time3 hours ago

  • TECHx

Snowflake Unveils AI Data Cloud Innovations at Summit 2025

Home » Tech Value Chain » Global Brands » Snowflake Unveils AI Data Cloud Innovations at Summit 2025 Snowflake (NYSE: SNOW), the AI Data Cloud company, announced major product innovations at its annual user conference, Snowflake Summit 2025. These updates are set to transform how enterprises manage, analyze, and activate data in the AI era. The company revealed enhancements across data engineering, compute performance, analytics, and agentic AI. These innovations aim to eliminate data silos and connect enterprise data to business action. At the same time, they maintain control, simplicity, and governance. James Petter, Vice President, Snowflake EMEA, stated that the new updates redefine what organizations can expect from a modern data platform. He emphasized that the company's goal is to make AI and machine learning workflows more accessible, trusted, and efficient. Snowflake introduced Snowflake Openflow, a multi-modal data ingestion service now generally available on AWS. It enables users to connect to nearly any data source and drive value from any architecture. Openflow removes data fragmentation by unifying formats and systems. The service is powered by Apache NiFi™, automating data flow between systems. It allows data engineers to create custom connectors in minutes, running them on Snowflake's managed platform. It supports a wide range of sources like Box, Google Ads, Proofpoint, ServiceNow, Workday, and Zendesk, among others. Key capabilities include: Hundreds of ready-to-use connectors Integration with cloud object stores and messaging platforms Snowflake also revealed new compute innovations. These include Standard Warehouse Generation 2 (Gen2), now generally available, which offers 2.1x faster performance. Another addition, Adaptive Compute, is now in private preview. This feature automatically sizes and shares resources for better performance and lower costs. The company reported the upcoming release of Snowflake Intelligence and Cortex Agents, both in public preview soon. These tools enable users to ask natural language questions and get insights from structured and unstructured data. Powered by models from Anthropic and OpenAI, they run securely within Snowflake. Another announcement was the Data Science Agent, now in private preview. It helps data scientists by automating tasks like data preparation, feature engineering, and model training using Anthropic's Claude. According to Snowflake, more than 5,200 customers, including BlackRock, Luminate, and Penske Logistics, are already using Cortex AI to transform their operations. The company also introduced SnowConvert AI and Cortex AISQL. These tools support fast and cost-effective migration from legacy systems and enable generative AI-powered SQL analytics. Both are designed for high performance and efficiency. Additionally, Snowflake revealed updates to its Marketplace. New agentic products like Cortex Knowledge Extensions will soon be available. These allow enterprises to enrich AI agents with third-party data while ensuring data protection and attribution. Users can access content from The Associated Press and other providers. Through these developments, Snowflake aims to empower global organizations to modernize their data strategies with enterprise-ready AI.

Dead Sea Scrolls a century older than previously thought
Dead Sea Scrolls a century older than previously thought

The National

time4 hours ago

  • The National

Dead Sea Scrolls a century older than previously thought

Fragments from a collection of ancient Jewish manuscripts found on the northern shores of the Dead Sea are 100 years older than previously thought, a study found. The Dead Sea Scrolls, as they are best known, were discovered in the mid 20th century at the Qumran caves in the occupied West Bank. They include the oldest surviving manuscripts of entire books from the Bible, and for decades were generally dated from the 3rd to 2nd century BCE. But new AI technologies have allowed researchers to date some of the scrolls back to the 4th century BCE. Two of the biblical scrolls – the Book of Daniel and Ecclesiasts - are now believed to have come from the time of their presumed authors. The Book of Daniel is long believed to have been completed in the 160s BCE and Enoch's findings placed the scroll back in the same time period. The same was true for a scroll fragment of the Ecclesiastes, which is commonly assumed to have been written by an anonymous author in the 3rd century BCE. Researchers at the University of Groningen in the Netherlands developed a date-prediction programme called Enoch, which they say provides more accurate date estimates for individual manuscripts. Their findings were published in the peer-reviewed journal PLOS on Wednesday. Enoch uses AI to combine the traditional study of old handwriting with radiocarbon dating, which calculates the age of a material by measuring the amount of a specific carbon molecule in the sample. Traditionally, researchers studying ancient handwriting have been unable to more accurately date texts between 4th and 2nd century BCE, but researchers say this 'gap' has now been closed through Enoch's additional use of carbon dating. They say that the programme can predict radio carbon-based dates and handwriting style with an uncertainty of about 30 years. The work was a collaboration between historians of the ancient world and computer scientists, led by Mladen Popovic, professor of Hebrew Bible and Ancient Judaism and director of the Qumran Institute and Dr Maruf Dhali, assistant professor in Artificial Intelligence. The first results showed that many of the texts were much older than previously thought. 'This also changes how researchers should interpret the development of two ancient Jewish script styles which are called 'Hasmonaean' and 'Herodian',' the researchers said. The two scripts are now believed to have existed at the same time since the second century BCE, and manuscripts in the Hasmonian script could be older than their current estimate of 150-50 BCE. 'This new chronology of the scrolls significantly impacts our understanding of political and intellectual developments in the eastern Mediterranean during the Hellenistic and early Roman periods -late fourth century BCE until second century CE,' the authors said. 'It allows for new insights to be developed about literacy in ancient Judaea in relation to historical, political, and cultural developments such as urbanization, the rise of the Hasmonaean dynasty, and the rise and development of religious groups such as those behind the Dead Sea Scrolls and the early Christians,' they said.

UAE: Student develops AI system to help police detect crimes before they happen
UAE: Student develops AI system to help police detect crimes before they happen

Khaleej Times

time7 hours ago

  • Khaleej Times

UAE: Student develops AI system to help police detect crimes before they happen

A member of Dubai Police, and inspired researcher, has developed a homegrown system that could take crime prevention one step further — by detecting it before it happens. Dr Salem AlMarri, the first Emirati to earn a Ph.D. from the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), has designed a video anomaly detection (VAD) system capable of identifying unusual behaviour in real-time. The technology could, in theory, alert authorities to suspicious or harmful activity before a formal complaint is ever made, or even before a crime is committed. 'Today, we understand how a human or object looks and moves. But how do we understand something that breaks the pattern, [like] an anomaly?' AlMarri said in an interview with Khaleej Times. 'A person walking in a very weird manner could mean something is going on. It could be an accident, or a hazard, or a fight unfolding. Anomalies have different meanings in real life; and we're training AI to recognise them.' While the field of anomaly detection has existed for decades, AlMarri's research brings the concept into the realm of video and audio. Using AI, his model is trained to distinguish between normal and abnormal footage. For example, learning to identify when an incident like a robbery or assault is taking place, even if it unfolds in a subtle or non-violent manner. As an example, he cited a hypothetical scene where a man walks up to a cashier and asks for money, politely. 'A normal camera won't know what's happening, it will just see a generous cashier handing money to somebody.' But beneath the surface, the AI model may detect subtle cues like body posture, tone, micro-behaviours — that point to coercion or threat. The model must first 'understand what is normal and what is abnormal,' by being trained on large amounts of labelled footage, he explained. 'We need to show it footage of people just handling money in the normal fashion. And then we tell it, okay, this is where something bad happens — robbery, burglary, or whatever. It learns to tell the differences, like a human child. And if it predicts correctly, it gets rewarded.' Thousands of experiments AlMarri's research, carried out during his secondment from Dubai Police, involved thousands of training experiments using real-world datasets. To overcome a key challenge — that many videos don't clearly indicate when an abnormal event begins, he designed a new approach. 'I shuffled different segments of videos to create a custom dataset, one moment showing a road accident, the next showing people walking normally in a mall, then a street fight,' he explained, 'this way, the model learned to recognise when something shifted from normal to abnormal.' His work also tackled real-world obstacles that could hinder performance. He developed a benchmark that allows the model to function even when one input, audio or video, is corrupted. This has major implications in the UAE, where weather conditions like fog can obstruct video clarity. 'If there's heavy fog or noise distortion, many models fail. So we trained ours to rely on one modality if the other is compromised. This is crucial for environments like autonomous driving or surveillance during poor visibility,' he pointed. The flagship findings are part of his Ph.D. thesis at MBZUAI, conducted under the supervision of Professor Karthik Nandakumar in the Sprint AI lab, which focuses on security, privacy, and preservation technologies. Like father, like son AlMarri's journey is rooted in a childhood filled with invention. His father, an engineer, built a screw-free wind turbine in the 1990s, a computer interface for people with no limbs, and a digital attendance system for police officers — long before such technologies were mainstream. 'It was a personal challenge for me, to at least try to come close to his achievements, to carry on his legacy.' After joining Dubai Police in 2016 and working on robotics and drones, he pursued further education in AI to stay relevant as the department transformed into a data-driven force. 'Within the police, our department went from being a smart service department to an AI department. I felt like I was being outpaced,' he recalled. Following a master's in electrical engineering at Rochester Institute of Technology, he was selected for MBZUAI's first Ph.D. cohort in computer vision - a move he describes as transformative. "MBZUAI humbled me,' described the 30-year-old. 'I had won competitions and worked on great projects, but this was something different. I was challenged over and over. When I walked out the door, I thought I didn't know anything. But when I came into reality, I realised I had been equipped to face any challenge.' The road ahead AlMarri is now preparing to return to Dubai Police and hopes to present his work to senior leadership. While the system has not yet been implemented by the police, he believes it could have significant value.'They have done exceptionally,' he said, referring to the force's AI capabilities. '[The technology] works. It can be deployed. It's up to them how they want to use it.' He expressed confidence that Dubai Police, a recognised leader in smart policing, would be well-positioned to integrate the research. 'They've reached a high level of maturity in AI. I believe I'm returning to an entity that can make effective use of what I've worked on, and I hope to contribute to their development journey. If we have this conversation in a year, the impact will be evident,' he said confidently. As for what's next, AlMarri hopes to publish research regularly, mentor young talent, and continue innovating - always with the goal of giving back to his country. 'I've been blessed to be the first Emirati Ph.D. from MBZUAI,' he noted. 'That comes with responsibility. Research is one way to give back, not just to science, but to the UAE.'

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store