
Fireworks AI, a company developing enterprise AI tools, has raised $1.5 billion in Series D funding. The round was led by Atreides Management, Index Ventures, and TCV, setting the company's valuation at $17.5 billion. Fireworks AI focuses on turning general-purpose models into specialized intelligence for enterprises. This significant funding round underscores the growing interest and investment in AI technologies for enterprise applications.
Read original
© Crunchbase NewsArgentina and Spain, known for their soccer prowess, are also making strides in the startup world. Argentina's startup scene, though smaller than Brazil and Mexico, has seen significant funding with fintech companies like Ualá and Pomelo leading the charge. Meanwhile, Spain's startups, despite lagging behind France in funding, are gaining traction with notable investments in companies like PLD Space and Factorial. Both countries are showing potential to grow their startup ecosystems, challenging the dominance of traditional venture hubs like Silicon Valley.
© Crunchbase NewsAsia's startup funding reached a multiyear peak in Q2 2026, with a significant boost from AI-focused companies. AI startups alone secured over 60% of the total funding, with China's DeepSeek raising an impressive $7.4 billion. This surge in investment reflects a growing emphasis on AI technologies, positioning China, Singapore, and India as key hubs for venture capital. The substantial capital influx into both early and late-stage startups indicates a strong commitment to advancing AI capabilities across the region.
© Crunchbase NewsStripe, in partnership with Advent International, has reportedly made a $53 billion offer to acquire PayPal, marking a significant move in the fintech space. This potential acquisition is notable not only for its size but also because it involves a privately held company attempting to purchase a publicly listed giant. Stripe, known for its aggressive acquisition strategy, has accelerated its M&A activities in recent years, focusing on stablecoins and billing infrastructure. If successful, this deal would position Stripe as a dominant force in the payments industry, rivaling some of the largest tech acquisitions in recent history.
Suno, an AI music startup, has been caught using millions of songs, lyrics, and podcasts from platforms like YouTube Music and Deezer to train its models. This discovery followed a security breach by a hacker who exposed internal data and customer details. The dataset includes over 113,000 hours of YouTube Music audio, sparking debates about potential copyright violations and data privacy issues. Suno maintains that its data usage is protected under fair use, but this claim is likely to face scrutiny from the music industry. The situation underscores the complex relationship between AI development and intellectual property rights, as companies navigate the legal landscape.
© WIRED AIGoogle has shifted its Gemini AI usage model from counting requests to measuring computing power, meaning users might face limits based on task complexity rather than quantity. This change aims to better reflect the resource costs for Google, but it introduces uncertainty for users about when they might reach their limits. Subscription plans now offer varying levels of access, with higher tiers allowing more complex and frequent AI interactions. This adjustment highlights Google's focus on managing resources efficiently, though it may complicate the user experience. Users must now consider the complexity of their tasks when planning AI usage. The new system could lead to more strategic use of AI resources by consumers.
© TechCrunch AIDatabricks has announced a new funding round valuing the company at $188 billion, reflecting its successful shift towards AI. Although the exact amount raised is not confirmed, reports suggest it's around $3 billion. This significant valuation increase highlights Databricks' evolution from a big data leader to a key player in AI, leveraging its extensive enterprise data to deliver AI solutions like Lakebase and Unity. By adopting open-weight models such as Z.ai's GLM 5.2, Databricks offers cost-effective alternatives to proprietary models, enhancing its reputation in the AI field. The company's strategic focus on AI has positioned it as a major force in the industry, attracting substantial investment and interest.