Key Startup and Venture Capital News for 25 May 2026: Major AI Rounds, Growth in Defense Tech, Investments in Fintech and Healthcare AI, New Trends in the Global Venture Market and Development of AI Infrastructure
The global startup and venture capital market approaches Monday, 25 May 2026, with a clear shift in capital toward artificial intelligence, infrastructure platforms, defense tech, healthcare AI, and fintech services for a new generation of technology companies. For venture investors and funds, the main focus remains not just on the growing interest in AI startups, but on the very structure of the market itself: capital is concentrating around companies that have already proven their ability to scale revenue rapidly, attract corporate clients, and become the technological layer for other economic players.
If in 2023–2024 the venture market saw generative AI as a promising direction, by 2026, investors are increasingly viewing artificial intelligence as a foundational infrastructure for the next cycle of technological growth. Startups addressing practical challenges are taking the lead: providing access to computational power, searching for AI agents, automating medical processes, developing autonomous defense systems, and offering banking infrastructure for AI-native companies.
AI Infrastructure Becomes a Key Venture Capital Focus
The main trend of the week is the continued strengthening of AI infrastructure as a central focus for venture funds. Investors are becoming less willing to finance abstract AI products without clear monetization pathways and are increasingly supporting companies that serve as the "rails" for the entire new technological economy.
Key areas where venture capital is currently directed include:
- Infrastructure for AI inference;
- Cloud computing for artificial intelligence;
- Search engines for AI agents;
- Platforms for testing AI code;
- Corporate automation based on AI;
- AI cybersecurity;
- Software layers for working with various chips and computational architectures.
For venture investors, this indicates a gradual division of the market into two parts. The first consists of startups that use AI as a function within a product. The second includes companies that create infrastructure to scale the entire AI ecosystem. It is this latter group that is receiving the highest valuations and the largest rounds of funding.
Modal Labs: $355 Million for AI Code and Inference Infrastructure
One of the most notable deals in recent days was Modal Labs' funding round. The company raised $355 million in its Series C round, receiving a valuation of approximately $4.65 billion. This is a significant signal for the venture market: investors are willing to pay a premium for startups that stand at the intersection of two key trends — the shortage of computational power and the rise of AI-generated coding.
Modal Labs provides developers with access to computational resources for AI inference, as well as an environment for testing code generated by artificial intelligence. The demand is growing from biotechnology firms, hedge funds, weather-tech projects, and corporate AI teams.
Why This Deal Matters to Funds
- Modal Labs is demonstrating rapid revenue growth and strong demand from enterprise clients.
- The company operates in a sector where computational power remains a limited resource.
- The AI coding market is increasing the need for a secure testing environment.
- Infrastructure-focused AI startups are yielding multipliers that exceed the market average.
For venture funds, this deal confirms that AI infrastructure has already become a distinct asset class within the technology market.
Exa: $250 Million for AI-Agent-Focused Search
Another major news item is Exa's funding round of $250 million at a valuation of about $2.2 billion. The company is building search infrastructure specifically for AI agents that are designed to find, analyse, and leverage relevant information on the internet without human intervention.
From a venture investment perspective, Exa is situated in one of the most promising segments: search for AI. While traditional search was designed with humans in mind, the new market model predicts that more queries will be handled by autonomous AI agents. This creates a new infrastructural niche where startups can compete not only with classic search engines but also with corporate data platforms.
Investors see several growth drivers in this direction:
- An increase in the number of AI agents in corporate environments;
- Rising demand for real-time data for automated solutions;
- The shift from chatbot interfaces to autonomous workflows;
- The need for precise search capabilities for enterprise AI;
- The creation of a new internet layer focused not on humans, but on machines.
Anduril and Record Interest in Defense Tech
Defense tech continues to be one of the strongest sectors of the global venture market. Anduril raised $5 billion, increasing its valuation to $61 billion. This is not just a large round of funding, but a sign of a fundamental change in investor attitudes towards defense technologies.
Just a few years ago, defense startups were a niche category for a limited number of funds. In 2026, the situation has changed: geopolitical tensions, rising defense budgets, the development of autonomous systems, and the integration of AI into military infrastructure have made defense tech a fully-fledged institutional sector.
The most attractive areas within defense tech include:
- Autonomous drone systems;
- Military AI and data analytics;
- Edge computing for defense applications;
- Robotic platforms;
- Surveillance and reconnaissance systems;
- Software for operational management;
- Dual-use infrastructure.
For venture funds, this sector is appealing due to its high barriers to entry, long-term government contracts, and the strategic significance of technology.
Healthcare AI: Commure Strengthens Position in Medical Automation
The healthcare AI sector continues to attract significant capital. Commure secured $70 million in funding with a valuation of approximately $7 billion. The company is developing an AI platform for the healthcare industry and automating a significant portion of tasks related to revenue cycle management, billing, payments, and administrative processes.
Investors see healthcare AI as one of the most attractive fields as the medical system in many countries is burdened by operational costs. Startups that help clinics reduce expenses, accelerate paperwork, and improve financial efficiency are experiencing sustained demand despite cautious attitudes towards venture risk.
Why Healthcare AI Receives High Valuations
- A massive addressable market;
- A high proportion of manual processes in medicine;
- The willingness of clinics to pay for automation;
- The potential for long-term contracts;
- A strong scalability effect when implementing AI platforms.
For venture investors, this segment is particularly important as it combines technological growth with a defensive demand characteristic.
Fintech Bounces Back: Mercury Raises $200 Million
Fintech is once again returning to the spotlight of venture capital. Mercury raised $200 million at a valuation of around $5.2 billion. The company focuses on servicing tech startups, including AI-native businesses that require banking products, treasury management, payment infrastructure, and financial tools for rapid growth.
Following a cooling period in the fintech market, investors have become more selective. Funding is being directed not at mass consumer applications, but rather at infrastructure platforms with proven revenue, a large customer base, and the capability to serve the growing sector of technology companies.
For funds, the Mercury round is significant for three reasons:
- It signals a resurgence of interest in quality fintech startups;
- It confirms demand for financial infrastructure for AI companies;
- It demonstrates that profitability and scalable revenue are once again key evaluation criteria.
A New Logic of the Venture Market: Fewer Deals, More Capital for Leaders
By 2026, the venture market is becoming less homogeneous. Capital is increasingly concentrating around a limited number of leaders. Mega-rounds are becoming the norm for late-stage AI companies, while early-stage startups are finding it more challenging to secure funding without strong technology, revenue, or access to strategic markets.
This concentration is particularly noticeable in the following sectors:
- AI infrastructure;
- Frontier AI;
- Defense tech;
- Healthcare AI;
- Robotics;
- Fintech infrastructure;
- Deeptech;
- Enterprise automation.
For venture funds, this means a need for stricter selection processes. Victors are not merely companies with strong storytelling, but startups that have already proven product-market fit, demonstrate growing revenue, and can serve as a platform for other market participants.
Europe and Asia Intensify Their Battle for AI Ecosystems
While the United States remains the centre of the largest venture deals, Europe and Asia are actively building their own AI ecosystems. The European market is focusing on sovereign AI, deeptech, industrial AI, and data security. For France, Germany, and the UK, artificial intelligence has become a matter of technological sovereignty rather than just venture profitability.
In Asia, strong activity continues in China, India, Singapore, and South Korea. Investors are searching for local leaders in AI agents, robotics, semiconductor software, enterprise automation, and health technologies.
For global venture funds, this presents a more complex opportunity map. The startup market is becoming not just technological but also geo-economic: capital is following regions with access to talent, computational resources, government programs, and large corporate clients.
What Venture Investors and Funds Should Watch
Monday, 25 May 2026, shows that the global venture investment market continues to move toward maturity and concentration. Investors are increasingly focusing not on hype but on real metrics: revenue, infrastructural significance, corporate demand, and a startup's capacity to become part of a long-term technological architecture.
In the coming months, venture investors should pay close attention to several trends:
- AI infrastructure — the main sector for large rounds and strategic investments.
- Defense tech — a field with a growing importance of government contracts and autonomous systems.
- Healthcare AI — a market where automation delivers a direct economic impact.
- Fintech infrastructure — a comeback of interest in platforms for technology businesses.
- Search for AI agents — a new niche at the intersection of search, data, and autonomous systems.
- Late-stage AI — a zone of high valuations, but also heightened business quality requirements.
The key conclusion for funds is that the venture market of 2026 is no longer a mass funding market for all AI projects. It is a selective capital market where investors are choosing infrastructural winners, while startups compete not only for clients but also for access to computational resources, talent, and strategic partners.
For venture investors and funds, the current moment calls for discipline, deep industry expertise, and the ability to distinguish between short-term AI buzz and companies that can genuinely lay the foundation for the next technological cycle.
