The funding will be used to expand operations and development efforts, allowing Prepared to further modernize 911 emergency response systems with AI technology. Based in NYC and founded in 2019, the total raised is not specified, but previous rounds include a $27 million Series B in 2024, suggesting significant growth in the emergency communications sector. Sprinter Health, a mobile healthcare provider that combines technology with a medical practice to deliver personalized care to patients’ homes, has secured $55 million in a Series B funding round. Announced on May 15, 2025, the round was led by General Catalyst, with participation from Andreessen Horowitz, Regents of the University of California, Google Ventures, and Accel. The funding will be used to expand operations and development efforts, allowing Sprinter Health to reach more patients and improve access to preventive care. Based in Menlo Park, CA, the total raised is not specified in the sources, but the company has shown significant growth, expanding from five states in 2023 to 18 today.
Their platform allows users to develop, deploy, and operate large-scale AI applications with ease. AI stocks often experience strong investor enthusiasm, driving rapid price appreciation. With ongoing advancements in machine learning, automation, and generative AI, market sentiment remains highly bullish, fueling momentum-driven gains. Unlike the other big tech companies on this list, Meta Platforms (META -1.67%) doesn’t have a cloud computing business, but it’s investing just as much in AI as peers like Alphabet. Meta AI, the company’s chatbot, is available on its apps (e.g., Facebook, Instagram, and WhatsApp) and had 1 billion monthly active users as of May 2025. Meta continues to update its Llama large language model, which is now up to Llama 4.
Q. What are AI stocks?
Its cloud infrastructure platform was designed specifically for AI, and it counts customers like Nvidia, OpenAI, Meta Platforms, and Microsoft as part of its core customer base. Nvidia’s chips are popular for running demanding workloads that applications like large language models (LLMs) require. The pure-play chip stock is now selling its new Blackwell platform, which major cloud infrastructure services are deploying in 2025, and demand is outstripping supply. Companies in the AI space vary significantly in their focus areas, business models, and growth trajectories. Some may specialize in hardware, while others focus on software or specific applications, such as healthcare or finance.
Based in San Francisco, CA, Vivodyne has raised a total of $78 million since its founding in 2021. SandboxAQ, a leader in enterprise quantitative AI, has raised $450 million in a Series E funding round, adding prominent investors such as Ray Dalio, Horizon Kinetics, BNP Paribas, Google, and NVIDIA. Since spinning out from Alphabet in 2022, SandboxAQ has raised over $950 million, highlighting its strong growth trajectory.
ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, has secured $350 million in a Series C funding round. This funding, announced on May 29, 2025, will be used to scale product development, support global expansion, and deepen partnerships with customers and technology providers building AI-native applications. ClickHouse, incorporated in Delaware with headquarters in San Francisco, CA, has raised over $650 million to date, reflecting its strong market traction in handling AI-driven analytical workloads. Stord, a provider of cloud-based end-to-end logistics and supply chain management solutions, has ai companies to invest in secured $200 million in a Series B funding round.
Nvidia
Alphabet launched Gemini — its own AI chatbot and the latest iteration in its competition with ChatGPT — which some see as a threat to Google Search. So far, concerns about a challenge to its search dominance seem to have been overblown, as Alphabet’s ad revenue continues to grow steadily. Alibaba has put the earlier concerns about the tech backlash from Beijing behind it, but consumer demand in China remains sluggish. Still, Alibaba trades at a considerable discount to its American peers, and it enjoys a similar competitive advantage relative to China that tech giants like those of the “Magnificent Seven” enjoy.
Business Model & Revenue
Anthropic, a pioneer in developing safe and scalable artificial intelligence, has secured $3.5 billion in a Series E funding round led by Lightspeed Venture Partners. This substantial investment will enable Anthropic to further its mission of creating AI systems that are both powerful and aligned with human values. NVIDIA is a leading technology company primarily known for its advancements in graphics processing units (GPUs) and artificial intelligence (AI). Their products are widely used in gaming, data centers, and AI applications, making them a significant player in the tech industry. Together AI, a leading AI Acceleration Cloud provider, has announced a $305 million Series B funding round.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive. Additionally, the company is incorporating AI into its hardware division, including its Ray-Ban smart glasses, which offer a built-in camera, open-ear audio, and a range of hands-free features. Its Meta Quest headsets are also connected to Meta AI, allowing users to tap into the power of AI through the devices. AI also plays a role in improving its search engine and YouTube, where it can pinpoint a relevant section of a video and direct users straight to it.
Become a Forbes member and get unlimited access to cutting-edge strategies, actionable insights, and updated analysis from our network of leading finance experts. For a more balanced assessment, we screen AI growth stocks by looking at the most recent year-over-year percentage growth for both revenue and EPS, giving each equal weighting. We also excluded companies with growth rates in either category of 1,000% or more on the grounds that these are likely outliers. We believe everyone should be able to make financial decisions with confidence. Furthermore, they have the most advanced 2nm (nanometer) chips entering production right now that will see massive adoption in 2026. These chips consume 25% to 30% less energy compared to their 3nm counterparts when configured to run at the same speed.
Deep learning is a subset of machine learning that uses artificial neural networks inspired by the human brain. It’s the most advanced kind of AI and is crucial in technologies such as self-driving cars. Deep learning is advancing in areas such as preventive healthcare, where predictive algorithms are necessary. It differs from machine learning in that it doesn’t require human input. Adobe’s growth has slowed in recent years, but the company will remain a titan in creative software and figures to be a major player in AI for teams in design, marketing, analytics, and other areas.
Investing in Quantum Computing Stocks
This rapid pace of innovation means that companies that fail to stay ahead may become obsolete. Additionally, emerging AI startups such as DeepSeek can disrupt established players seemingly overnight, making it difficult for investors to predict long-term trends. The momentum strategy has become synonymous with AI, owing to the fast growth of this sector. AI names can generate returns that far outpace established tech names, driven mostly by investor sentiment. While it’s a viable strategy for those with a higher risk tolerance, investors should also focus on the company’s underlying financials to ensure the anticipated growth prospects will materialize. Artificial intelligence is revolutionizing industries across the board.
- With Tesla (TSLA +2.61%) having launched its robotaxi network in Austin, the autonomous vehicle race appears to be heating up, which should be good news for the semiconductor sector.
- Base Power, an energy company providing residential backup battery systems and electricity plans, has secured $200 million in a Series B funding round.
- ASML Holding is a Dutch company that makes photolithography systems and related services.
- Persivia, a leader in AI-driven digital health solutions, has secured $107 million in a recapitalization with Aldrich Capital Partners.
See details about Atomic, in their Form CRS, Form ADV Part 2A and Privacy Policy. See details about Atomic Brokerage in their Form CRS, General Disclosures, fee schedule, and FINRA’s BrokerCheck. CEO Jensen Huang has stated that global data center capital expenditures are expected to rise from $600 billion this year to $3 trillion to $4 trillion by 2030.
Nvidia’s data center business makes up the vast majority of the company’s revenue, thanks to the emergence of generative AI. Because it sells the building blocks for AI infrastructure, Nvidia became the first major company to see a significant revenue boost from AI. It also launched its AI Platform (AIP) in 2023, which has helped accelerate its growth. Palantir deploys machine learning models on top of data foundations and continuously improves them to ensure they become more useful.
Rounds ranged from $10M seed deals to multi-billion-dollar growth rounds, showing that investor appetite is strong across all stages. It’s about which AI companies are building real stuff with real money behind them. But they’re all making serious moves in AI, and the investors piling in aren’t doing it for fun.
In 2024, full-year revenue jumped 114% to $130.5 billion, driven by the surge in data center demand. Microsoft has incorporated GPT features across its product portfolio, including its Azure cloud infrastructure service, Edge web browser, Office productivity software suite, and Copilot for Microsoft 365. Azure OpenAI has seen a particularly strong uptake, now counting more than 65% of the Fortune 500 as customers. Alphabet has exposure to deep learning through a number of its businesses, including its autonomous vehicle start-up, Waymo. It also owns DeepMind, a deep learning platform that can diagnose eye diseases, predict the shapes of proteins, and accelerate the scientific discovery process.
Best for data centers
With only two months remaining in 2025, investors need to start considering what 2026 will bring. By understanding what’s next in the market, investors can get ahead of a large shift that occurs during December as large portfolio managers do the same thing. There is still a ton of resources being poured into the AI computing power buildout, and we may start to see some real benefits emerge from the technology in 2026. Our editors are committed to bringing you independent ratings and information. We use data-driven methodologies to evaluate financial products and companies, so all are measured equally. You can read more about our editorial guidelines and the investing methodology for the ratings below.
How We Collected the Data
- In this piece, we highlight 25 top AI startup companies to invest in, based on many factors, especially their funding.
- Broadcom has had a hot streak with acquisitions to diversify its business.
- OpenAI, the leading artificial intelligence research organization behind ChatGPT, has raised $40 billion in a monumental funding round led by SoftBank.
- While AI remains a compelling long-term investment, careful scrutiny of a company’s financials and thorough risk management are essential to avoid speculative bubbles and hype.
- Harvey, a legal AI startup, has raised $300 million in a Series D funding round.
Nvidia (NVDA +2.09%) is the gold standard for AI investing these days for a reason; its graphics processing units (GPUs) have played a part in nearly all of the AI technology we’ve experienced to date. While competition is rising, the Nvidia ecosystem has locked several AI hyperscalers into using its technology, and it will continue to be a dominant force for years to come. AI is not just a trend—it’s a structural shift in how businesses operate. Companies leveraging AI aren’t just cutting costs; they’re creating entirely new capabilities, automating insights that used to take days into minutes.