
Venture funding for Black startup founders remains scarce, even amid a boom in AI investments. In 2025, Black-founded startups received just 0.32% of U.S. venture capital, a sharp decline from previous years. Notable exceptions include SambaNova, which raised $350 million in a Series E round. The disparity highlights the ongoing challenges Black entrepreneurs face in securing funding, despite their active engagement with AI technologies. Networking and building relationships are increasingly crucial for these founders to navigate the competitive funding landscape.
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© Crunchbase NewsAnthropic has dramatically increased its standing in the AI sector by securing $65 billion in a Series H funding round, boosting its valuation to $965 billion. This development places Anthropic ahead of OpenAI in terms of valuation, marking a significant shift in the competitive dynamics of AI companies. The funding was led by major investors such as Altimeter Capital and Sequoia Capital, with Amazon also contributing. This substantial investment reflects the growing demand for Anthropic's AI tools like Claude, which are becoming essential for its expanding enterprise customer base. With this new capital, Anthropic is poised to enhance its capabilities and reach in the AI market.
© Crunchbase NewsCapchase has secured $200 million in new funding, comprising $26 million in equity and a $174 million credit facility, to expand its B2B buy now, pay later platform. The company has pivoted from revenue-based financing to offering flexible payment terms for enterprise sales, leveraging AI to streamline processes that traditionally took days into seconds. This shift has driven significant growth, with Capchase reporting a 400% increase over the past year and plans to expand globally. The funding will support its move into larger enterprise markets and new regions, including Australia.
© Crunchbase NewsVenture capitalists are increasingly investing in AI-native startups targeting traditionally 'uninvestable' sectors like defense, energy, and government. These industries, once avoided due to slow procurement and regulatory hurdles, are now seen as ripe for disruption thanks to AI advancements. The shift is driven by geopolitical and economic pressures, alongside the realization that AI can streamline complex processes and reduce migration times. This trend marks a significant opportunity for startups to challenge incumbents with AI-integrated solutions, potentially transforming foundational sectors of the global economy.
© SiftedHenrik Landgren, a former Spotify executive, is leveraging AI to help venture capitalists discern which startups are likely to succeed. By employing cohort analysis, Landgren's approach aims to identify startups that are not just hype. This method groups startups by shared characteristics to predict their potential success, offering a more data-driven approach to investment decisions. The initiative reflects a growing trend of using AI to bring more precision and objectivity to the venture capital industry. This could potentially shift how investments are made, focusing more on data-backed insights rather than intuition alone.
© SiftedInherent, a new AI lab founded by former DeepMind researchers, has secured $50 million in funding to develop 'AI-native science.' This approach aims to integrate human scientific inquiry with advanced AI systems to foster novel discoveries. The startup's platform, Faraday, seeks to address the limitations of current AI by identifying which scientific questions are worth pursuing. With backing from Index Ventures and Radical Ventures, Inherent is poised to explore the intersection of AI and scientific research, potentially transforming how breakthroughs are achieved.
© TechCrunch AIGlean has achieved a remarkable $300 million in annual recurring revenue, tripling its figures in just 15 months. This growth is particularly notable as the company faces new competition from tech giants like Google and Microsoft in the enterprise AI search market. Glean's edge lies in its 'context graph' technology, which enhances AI efficiency by reducing computing costs for enterprises. This feature is increasingly appealing to businesses aiming to manage their AI budgets more effectively. As the market becomes more crowded, Glean's ability to offer tailored AI solutions gives it a significant advantage. The company's revenue model, which includes both consumption-based and hybrid pricing, reflects its adaptability to client needs.