Credit Corporates Analyst

Verda raises $189M Series B, becomes Europe's latest AI infrastructure unicorn. Helsinki-based AI infrastructure company Verda has raised $189 million in a Series B round led by Emergence Capital, with participation from Supermicro, MUFG Innovation Partners, Varma Mutual Pension Insurance Company, Lifeline Ventures, 6 Degrees Capital, byFounders, Tesi, and angel investors Ola Tørudbakken and Mark Saroufim. * Founded in 2020 by Ruben Bryon, Verda provides AI infrastructure spanning data centers, compute infrastructure, and cloud software for AI workloads. The company said it serves organizations across more than 50 countries and reached a $165 million annualized revenue run rate in July 2026. * Verda currently operates data-center capacity in Finland and expects early deployments of NVIDIA's VR200 NVL72 infrastructure in the coming months. * The latest financing brings Verda's total funding to more than $450 million across equity and debt and values the company at more than $1 billion, making it Europe's latest unicorn. Details of the deal. * With the fresh capital, Verda plans to launch its large-scale inference service, accelerate software development, and expand its compute and data-center capacity. * The company expects to have more than 250 MW of operations in 2027, with additional capacity planned across Europe, the UK, the US, and Asia. * The company also plans to expand its cloud platform with S3-compatible object storage and managed Kubernetes, while investing in enterprise features, performance engineering, and its AI Lab.

Lotte Card has raised $300 million through a privately placed overseas asset-backed securities (ABS) issuance. The South Korean credit card company said the ABS, backed by credit card receivables, was subscribed to by Mitsubishi UFJ Financial Group and Société Générale. The securities have an average maturity of three years. Lotte Card said it secured funding at competitive rates compared with domestic corporate bonds, helping to lower financing costs. The company used currency and interest-rate swaps to mitigate foreign-exchange and interest-rate risks. A Lotte Card official said the firm will continue diversifying its funding channels and actively managing risks to improve long-term profitability and strengthen its financial structure.

Footprint raises $25 million Series B to scale Percy, the AI operating system for risk & compliance. Sep 16, 2026, 09:15 ET The new capital will double Footprint's engineering and sales teams and fuel their West Coast expansion NEW YORK, Sept. 16, 2026 /PRNewswire/ - Footprint, the AI operating system for risk, today announced it has raised $25 million in Series B funding led by QED Investors, with participation from MUFG, Commerce Ventures, LightBank, and Alumni Ventures, and continued backing from existing investors Index Ventures, Lerer Hippeau, BoxGroup, Operator Partners, and Animal Capital. Footprint builds AI systems and workflows for financial-crime compliance (such as anti-money laundering, enhanced due diligence, know-your-customer, know-your-business, transaction monitoring investigations and beyond) for banks and fintechs. The new capital will double the company's engineering and sales teams as it advances Percy, the world's first end-to-end AI operating system built for financial crime compliance, and Trust Fabric, the governed infrastructure beneath it. It will also fuel the company's expansion into a new San Francisco office as it scales its agentic AI infrastructure for enterprise financial institutions. "With this raise, we're doubling down on the thesis that risk operations will be re-envisioned for the AI-native era," said Eli Wachs, Footprint CEO and Co-Founder. "As AI expands the volume of financial crime in the global economy, we're building the agentic defense system that can expand to meet and defeat it." At the core of Footprint's platform is Percy, the world's first agentic AI operating system built end-to-end for risk. Unlike legacy rules-based systems, Percy investigates every case, surfaces every finding, and executes standard operating procedures (SOPs) with the speed and precision of an expert analyst. Percy operates in plain English, allowing teams to ask for reasoning or create new workflows without coding. Every investigation is documented with citations, timestamps, and a full task-by-task audit trail for regulators. The Series B funding will also advance Trust Fabric, the governed infrastructure beneath Percy that lets you build a superintelligent "organizational memory" over time. Trust Fabric connects related signals across customers and cases, ensuring that insights and precedents set by one investigation are instantly available across KYC, sanctions, and monitoring. This allows teams to identify fraud rings and persistent bad actors that human analysts might miss. Trust Fabric also provides agent assurance, continuously evaluating whether AI agents follow policy and use evidence correctly, allowing quality assurance teams to inspect the exact trace behind every finding. Footprint's technology already powers compliance teams at FDIC and OCC-regulated banks, as well as leading fintechs such as Bilt, Nuvei, and MoonPay. The platform is pre-integrated with hundreds of premiere data sources and vendors, such as LexisNexis and ComplyAdvantage, allowing Percy to verify findings against trusted sources of truth. About Footprint Footprint is a leading agentic platform (backed by Index, QED, Commerce Ventures) that learns your compliance program and runs it end-to-end. Investigations are fully auditable, connected to trusted vendors and data sources (e.g. LexisNexis, ComplyAdvantage, government registries) and committed to an organizational memory that compounds - adapting alongside your procedures, and improving your entire system. Footprint's technology empowers compliance teams to clear their alert backlog faster - with deeper context and better judgment. Its customers include a slew of FDIC and OCC-regulated banks, and fintechs such as Bilt, Nuvei, and MoonPay. Learn more at onefootprint.com SOURCE Footprint