This weekly update brings news of significant momentum in the startup ecosystem, particularly in the artificial intelligence and fintech sectors. The week showcased how startups are raising more money than ever, even as the number of individual deals decreases. According to data from Crunchbase, global venture funding to fintech startups totaled an impressive $12 billion across 751 deals in 2026 as of April 6. This represents a 5% increase compared to the $11.4 billion raised during the same period in 2025, but importantly, that money was spread across 31.5% fewer deals. This trend tells us something important: the average deal size is getting bigger, which means that investors are focusing their money on fewer, larger investments.

When we look at funding by stage, late-stage or growth funding in the first quarter of 2026 totaled $6.9 billion, up 8% compared to $6.4 billion in the same quarter of 2025. This shows that more established startups are raising larger amounts of money as they grow. However, it's worth noting that these numbers are down from the fourth quarter of 2025, when fintech startups raised $17.8 billion globally. The United States continues to be the leader in fintech startup funding, with U.S.-based startups raising just over half of the global total, or $6.3 billion. This represents an impressive 47% increase compared to the $4.3 billion raised by U.S. fintech startups in the first quarter of 2025.

One of the most interesting developments this week involves AI infrastructure and AI agents. A startup called AgoraMaven is building an all-in-one AI-driven advisory and operations platform designed specifically for startups and small and medium-sized enterprises (SMEs). The company is tackling a real problem: many startups fail because consulting services are too expensive and they can't get the funding they need. AgoraMaven offers real-time business and financial insights, AI agents for automating strategic tasks, and a connection to investor networks that help startups find funding more easily. This represents an important trend of using AI agents not just for technical work, but for helping startups make better business decisions.

In Asia, AI cloud infrastructure development is accelerating rapidly. Nava, which was previously known as Kluisz, raised an impressive $22 million to expand its AI cloud infrastructure business across the Asia-Pacific region. The company is building what it calls a "full-stack neo-cloud platform" for AI workloads, which combines GPU access, data center capacity, and software tooling. GPU access is important because GPUs (graphics processing units) are the special computer chips that make AI systems run quickly and efficiently. Similarly, Firmus, an Asia-focused AI data-center provider that is backed by the company Nvidia, raised $505 million at a $5.5 billion valuation. This massive funding round brings Firmus's six-month fundraising total to $1.35 billion, with all that capital aimed at expanding infrastructure tied to the AI compute boom.

Another important trend this week involves energy and sustainability. As AI systems require enormous amounts of computing power, utilities and technology companies are advancing long-duration energy storage solutions, including iron-air batteries, to support AI data centers. These solutions are important because they can provide reliable, clean power for AI workloads running 24 hours a day, 7 days a week without relying solely on lithium-ion batteries. This trend highlights how the AI infrastructure boom is creating new challenges and opportunities in the energy sector.

Finally, in Central Asia, venture capital funding is surging as the startup scene takes off. Venture funding for AI increased from around $14 million to $73 million, representing more than half of total venture investment in the country. This shows that AI and AI-related startups are becoming increasingly important to startup ecosystems around the world, not just in traditional tech hubs like Silicon Valley. The week's news demonstrates that startups are finding new ways to use artificial intelligence and AI agents to solve real business problems, while also building the infrastructure needed to power the AI revolution globally.