After nearly two decades of concentrating its efforts in Europe, Seedcamp, an early-stage investment firm, announced the successful raise of $320 million for its newest fund. This capital injection will support the firm's strategic move to increase its footprint in the United States, marking a significant expansion beyond its traditional European market focus.
Will Cathcart is transitioning to a new role within Meta, paving the way for Kunal Shah, founder of Indian fintech firm CRED, to step down as CEO and become the new head of WhatsApp. Alongside this leadership shift, Meta has announced a $900 million investment in an Indian startup, signaling a deepened focus on the region's tech ecosystem.
In the wake of Nvidia's $20 billion not-acqui-hire deal, AI chipmaker Groq has successfully raised $650 million. The company is now focusing on expanding its neocloud business and bringing in new executives to drive growth and innovation.
Lloyds Banking Group is set to recruit 300 technology specialists focused on advancing its artificial intelligence capabilities. This move, announced just before CEO Charlie Nunn reveals a new strategy for the historic 261-year-old bank, aims to enhance the development of agentic AI — autonomous systems capable of performing tasks with limited human intervention. While these additions will increase staff numbers initially, the bank cautions that wider AI integration could eventually reduce jobs.
Go's IPO, the largest in Japan for 2026 so far, has revitalized the country's slow listing market and provided the taxi-hailing service with crucial funds. With ¥88.6 billion raised, Go is addressing a pressing challenge: the shortage of drivers in Japan. The company aims to leverage this capital to develop and expand its robotaxi services, paving the way for the future of urban transportation.
Liberty Bank, celebrating 201 years in business and based in Middletown, Connecticut, has inaugurated a new AI Center of Excellence. This initiative is in collaboration with startup Flare AI and aims to centralize AI strategy, governance, and implementation across all of the bank's personal, commercial, and digital services. The partnership focuses on delivering tangible results to enhance operational efficiency and customer experience.
TechCrunch connected with venture capitalists to identify the most promising startups from Y Combinator's Spring 2026 batch. Several startups impressed investors with valuations exceeding $175 million, highlighting the strength and potential of this group.
OpenAI is preparing for its upcoming IPO by bringing in top talent, including Noam Shazeer, co-inventor of the Transformer model from Google DeepMind, and Dean Ball, a former AI policy advisor under the Trump administration, all within the same week.
Financial crises typically develop gradually, with warning signs buried in vast amounts of data that humans often cannot analyze quickly enough. Before the 2008 crisis, issues like rising leverage and slipping underwriting standards were missed signals. Similarly, in 2023, the Silicon Valley Bank collapse revealed how concentrated deposits and eroding confidence can spark rapid financial turmoil. The challenge lies in connecting fragmented data points scattered across balance sheets, regulatory reports, and market signals, which increasingly move faster than traditional monitoring systems can keep up with.
Other industries, such as aviation and public health, use continuous real-time data monitoring to prevent crises. The financial sector generates similar data volumes but has lacked the ability for ongoing, integrated analysis — until now. AI technology can aggregate diverse data sources, detect hidden patterns and anomalies, and provide early warnings about emerging risks. For example, AI might have flagged vulnerabilities in Silicon Valley Bank related to deposit concentrations long before its failure.
Today, regulatory examinations are infrequent and backward-looking, often relying on outdated data. AI does not replace human judgment but equips regulators with real-time insights, allowing them to focus where risks are actually building. Transparent, interpretable AI models foster trust and enable leaders to act decisively. Using AI, institutions and regulators can detect pressure points earlier and intervene before localized issues escalate into systemic crises.
While AI improves safety, it requires human oversight and accountability. Properly implemented, AI transforms supervision from reactive to proactive, making the financial system more resilient and reducing the likelihood of taxpayer-funded bailouts. The next financial meltdown doesn’t have to be inevitable if we leverage AI to connect the dots and stop crises in their tracks.
Sean Kamkar is CTO of Zest AI.
Although the fintech startup's business remains robust, the company has decided to reduce its workforce by 10%. This move reflects strategic adjustments rather than financial weakness, highlighting changes in operational priorities and resource allocation.
