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Prepaid travel money and expense cards for business travelers and SMEs, with multi-currency capabilities. London UK, FCA regulated.
Caxton is a UK-based financial technology company providing prepaid multi-currency travel money cards and expense management solutions for business travelers and small to medium enterprises. Founded in 2002 and headquartered in London, Caxton is regulated by the UK Financial Conduct Authority and has built a reputation for competitive foreign exchange rates, low fees, and user-friendly multi-currency cards for both consumer and business travel. The company's business product enables companies to load funds onto employee travel cards with spending controls, providing a structured payment solution for business travel that reduces the need for cash advances and personal expense claims.\n\nCaxton's business travel card allows employees to access multiple currencies from a single card at competitive rates, making it practical for multi-destination business travel without incurring high currency conversion fees at each destination. Finance teams can load cards centrally, set spending limits by category or merchant type, and monitor transactions in real time through an online management portal. The card's prepaid structure gives companies control over travel spend without requiring employees to use personal cards and claim reimbursement.\n\nCaxton competes in the business travel payments space with similar multi-currency solutions including Revolut Business, Wise Business, and Airwallex, as well as with traditional corporate cards from major banks. The company's strength in competitive foreign exchange rates and its regulatory track record in the UK market have helped it maintain a customer base among UK SMEs with regular international travel needs.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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