Main Startup and Venture Investment News for May 25, 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 investment market is heading into Monday, May 25, 2026, with a pronounced capital shift towards artificial intelligence, infrastructure platforms, defense tech, healthcare AI, and fintech services tailored for a new generation of tech companies. For venture investors and funds, the key theme remains not just the growing interest in AI startups but the very structure of the market: capital is concentrating around companies that have already demonstrated the ability to rapidly scale revenue, attract corporate clients, and become a technological layer for other participants in the economy.
While in 2023-2024 the venture market viewed generative AI as a promising direction, by 2026 investors are increasingly seeing artificial intelligence as the foundational infrastructure for the next cycle of technological growth. Startups that address practical challenges are coming to the forefront: access to computational resources, AI agent search capabilities, automation of medical processes, defense autonomous systems, and banking infrastructure for AI-native companies.
AI Infrastructure Becomes the Main Focus of Venture Capital
The main trend of the week is the further strengthening of AI infrastructure as a central focus for venture funds. Investors are becoming less willing to finance abstract AI products without a clear monetization strategy and are increasingly supporting companies that become the "rails" for the entire new technological economy.
Key areas where venture capital is currently directed are:
- Infrastructure for AI inference;
- Cloud computing for artificial intelligence;
- Search systems for AI agents;
- Platforms for testing AI code;
- AI-based corporate automation;
- AI cybersecurity;
- Software layers for working with various chips and computing architectures.
For venture investors, this means that the market is gradually dividing into two parts. The first includes startups that use AI as a function within their products. The second encompasses companies that create infrastructure for scaling the entire AI ecosystem. It is the latter group that is receiving the highest valuations and largest rounds of funding.
Modal Labs: $355 Million for AI Code and Inference Infrastructure
One of the most notable deals in recent days is Modal Labs' round, where the company raised $355 million in a Series C funding, achieving a valuation of approximately $4.65 billion. This is an important signal for the venture market: investors are willing to pay a premium for startups that sit at the intersection of two key trends — the shortage of computational power and the growth 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 coming from biotechnology firms, hedge funds, weather-tech projects, and corporate AI teams.
Why the Deal Matters for Funds
- Modal Labs shows rapid revenue growth and strong demand from enterprise clients.
- The company operates in a sector where computational power remains a limited resource.
- The market for AI coding increases the need for secure testing environments.
- Infrastructure AI startups receive above-average multiples compared to the venture market.
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-Specific Search
Another significant piece of news is Exa's $250 million round at a valuation of approximately $2.2 billion. The company is building a search infrastructure for AI agents, which are designed to find, analyze, and utilize relevant information from the internet without human involvement.
From a venture investment perspective, Exa is positioned in one of the most promising segments: search for AI. While traditional search has been built around humans, the new market model suggests that an increasing number of queries will be handled by autonomous AI agents. This creates a new infrastructure niche where startups can compete not only with traditional search engines but also with corporate data platforms.
Investors see several growth drivers in this direction:
- Increasing number of AI agents in corporate environments;
- Growing demand for up-to-date data for automated solutions;
- Transition from chatbot interfaces to autonomous workflows;
- Need for precise search capabilities for enterprise AI;
- Creation of a new layer of the internet focused not on humans but on machines.
Anduril and Record Interest in Defense Tech
Defense tech remains one of the strongest areas within the global venture market. Anduril raised $5 billion, increasing its valuation to $61 billion. This is not just a significant round; it is indicative of a fundamental shift in investor sentiment towards defense technologies.
A few years ago, defense startups were a niche area limited to a select group 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 turned defense tech into 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 tasks;
- Robotic platforms;
- Surveillance and reconnaissance systems;
- Operational management software;
- Dual-use infrastructure.
For venture funds, this sector is appealing due to its high barriers to entry, long-term government contracts, and the strategic importance of the technologies involved.
Healthcare AI: Commure Strengthens Its Position in Medical Automation
The healthcare AI sector continues to attract significant capital. Commure raised $70 million in funding at a valuation of approximately $7 billion. The company is developing an AI platform for the healthcare industry and automating significant processes related to revenue cycle management, billing, payments, and administrative tasks.
For investors, healthcare AI remains one of the most attractive areas because the medical system in many countries is burdened with operational costs. Startups that help clinics reduce expenses, expedite documentation processes, and improve financial efficiency see sustained demand even in cautious risk environments.
Why Healthcare AI Receives High Valuations
- Vast addressable market;
- High share of manual processes in medicine;
- Willingness of clinics to pay for automation;
- Potential for long-term contracts;
- Strong economies of scale with the implementation of AI platforms.
For venture investors, this segment is particularly important as it combines technological growth with defensive demand characteristics.
Fintech Returns: Mercury Raises $200 Million
Fintech is once again returning to the spotlight of venture capital. Mercury raised $200 million at a valuation of approximately $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 going not to mass-market consumer applications but to infrastructure platforms with proven revenue, a large customer base, and the ability to serve the growing tech company sector.
The Mercury round is significant for funds for three reasons:
- It signals a revival of interest in quality fintech startups;
- Confirms the demand for financial infrastructure for AI companies;
- Demonstrates that profitability and scalable revenue have again become key valuation criteria.
New Logic of the Venture Market: Fewer Deals, More Capital for Leaders
In 2026, the venture market is becoming less uniform. 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 face difficulties attracting 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. Winners will not just be companies with strong storytelling, but rather startups that have already demonstrated product-market fit, possess growing revenue, and can become a platform for other market participants.
Europe and Asia Intensify the Race for AI Ecosystems
While the U.S. remains the hub for the largest venture deals, Europe and Asia are actively building their own AI ecosystems. The European market is focusing on sovereign AI, deep tech, industrial AI, and data security. For France, Germany, and the UK, artificial intelligence is becoming a matter of technological sovereignty rather than just venture returns.
In Asia, strong activity continues in China, India, Singapore, and South Korea. Investors are looking for local leaders in AI agents, robotics, semiconductor software, enterprise automation, and medical technologies.
For global venture funds, this creates a more complex map of opportunities. The startup market is becoming not just technological but also geo-economic: capital follows regions with access to talent, computational resources, government programs, and large corporate clients.
What Venture Investors and Funds Should Pay Attention To
Monday, May 25, 2026, shows that the global venture investment market continues to move towards maturity and concentration. Investors are increasingly focusing less on hype and more on real indicators: revenue, infrastructural significance, corporate demand, and the ability of startups to become part of long-term technological architecture.
In the coming months, venture investors should closely monitor several areas:
- AI infrastructure — the main sector for large rounds and strategic investments.
- Defense tech — an area with a growing role for government contracts and autonomous systems.
- Healthcare AI — a market where automation provides a direct economic effect.
- Fintech infrastructure — a revival of interest in platforms for tech 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 increased quality expectations.
The main takeaway for funds is that the venture market of 2026 is no longer a mass financing market for all AI projects. It is a selective capital market where investors choose infrastructure winners, and startups compete not only for clients but also for access to computational resources, talent, and strategic partners.
For venture investors and funds, the present moment requires discipline, deep industry expertise, and the ability to differentiate between short-term AI noise and companies that can truly become the foundation for the next technological cycle.
