Mercury

In Renaissance Florence, wealthy merchants faced a dilemma: where could they safely store their gold without it sitting idle. The Medici family offered a radical alternative. Deposit your assets with them and your assets would be secure, earn consistent returns, and, crucially, be accessible when needed. It was one of the first smart options for wealth: safe, productive, and liquid. The spirit of i

Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up iteration, and ensuring granular production observability.MLP owns the production ML

When the Space Shuttle approached the International Space Station, two vehicles built by different teams, in different countries, with fundamentally different engineering philosophies and systems, had to connect perfectly. The Rendezvous, Proximity Operations, and Docking (RPOD) subsystems were engineered to handle complex mismatches such as different power systems, communication protocols, and tec

As long as there have been buildings, there has been scaffolding. In the caves of Lascaux, sockets in the cave wall were used to build scaffolds, allowing its Paleolithic inhabitants to craft their majestic cave-paintings, which survive to the modern day. From that time onward, every edifice has had its scaffold— from the bamboo poles that held the craftsmen of the Great Wall of China, to the steel

'We may say most aptly that the Analytical Engine weaves algebraic patterns just as the Jacquard loom weaves flowers and leaves.' — Ada Lovelace, 1843 What Lovelace saw in the loom was the pattern — flowers and leaves, repeated faithfully, each one begun by a hand that chose it. Mercury is built from patterns too. Every component, every interaction our customers come to trust, starts with someone d

In 1600, William Gilbert published De Magnete—the first systematic study of magnetism. He didn't just theorize; he built instruments, ran experiments, and shared what he learned so that others could go further. Three centuries later, those foundations helped power the modern world. At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries—buil

Since the dawn of aviation, pilots have faced the constant challenge of air resistance, much like sailors navigating the friction of water. Amidst this relentless struggle, the trim tab emerges as an ingenious yet understated marvel. Just as the wheel revolutionized transportation by easing movement over land, the trim tab simplifies flight, allowing for smoother navigation through the skies. It em

Since the dawn of aviation, pilots have faced the constant challenge of air resistance, much like sailors navigating the friction of water. Amidst this relentless struggle, the trim tab emerges as an ingenious yet understated marvel. Just as the wheel revolutionized transportation by easing movement over land, the trim tab simplifies flight, allowing for smoother navigation through the skies. It em

Every new business that applies to Mercury is like a new star appearing in the night sky. On its own, it’s a single point of light. But when we look closer, patterns emerge—data trails from partners, filings, founders, and financial histories—all connecting to form a larger constellation. That’s what our Risk product engineering teams do at Mercury. We guide thousands of business applications throu

In 1965, an engineer in Scotland was given a mundane task with a tricky problem to it - banks wanted to close on Saturdays and still serve customers, but they didn’t know how to solve the authentication of the right user. James Goodfellow, working at Smiths Industries, uncovered the insights that you needed something you have (a card) and something you know (a PIN). Because someone told him they co

Since the dawn of aviation, pilots have faced the constant challenge of air resistance, much like sailors navigating the friction of water. Amidst this relentless struggle, the trim tab emerges as an ingenious yet understated marvel. Just as the wheel revolutionized transportation by easing movement over land, the trim tab simplifies flight, allowing for smoother navigation through the skies. It em

In Renaissance Florence, wealthy merchants faced a dilemma: where could they safely store their gold without it sitting idle. The Medici family offered a radical alternative. Deposit your assets with them and your assets would be secure, earn consistent returns, and, crucially, be accessible when needed. It was one of the first smart options for wealth: safe, productive, and liquid. The spirit of i

Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up iteration, and ensuring granular production observability.MLP owns the production ML