Ex-Nubank Executives Launch AI Wealth Manager Decade, Raise $85m

What happened

A group of former Nubank executives has launched Decade, an AI-powered wealth management platform, backed by an $85m seed funding round. The company positions itself as a challenger to traditional private banking, aiming to extend personalised financial advice to a broader customer base rather than restricting it to high-net-worth clients.

Decade's founding team draws directly on its Nubank background, applying lessons from that firm's digital-first, mass-market approach to banking to the wealth management sector — a space historically built around bespoke, relationship-led service for a narrow segment of affluent clients.

Why it matters

Wealth management has long relied on human advisors and high minimum balances to deliver tailored guidance, effectively excluding most consumers from personalised financial planning. Decade's launch signals continued investor appetite for AI tools that can replicate elements of that bespoke experience — portfolio guidance, goal-based planning, ongoing check-ins — at a fraction of the cost and without the traditional gatekeeping of account minimums.

For customer experience and behavioural economics practitioners, this is a live test of whether algorithmic personalisation can substitute for the trust, reassurance and behavioural nudging that a human advisor traditionally provides during financial decision-making — particularly during volatile markets or major life decisions, when emotional friction is highest.

By the numbers

• $85m seed funding round secured by Decade at launch.

The Renascence take

The interesting story here isn't the AI — it's the pedigree. Nubank's founding insight was never "digital banking," it was stripping friction and fear out of a category people found intimidating and expensive. Decade is betting that the same behavioural playbook — simplicity, transparency, low entry barriers — translates to wealth management, a category built almost entirely on exclusivity and manufactured scarcity.

Most coverage of AI wealth platforms focuses on the technology; the harder problem is trust transfer. Private banking's real product was never the portfolio allocation — it was the reassurance of a human who "knows you" and can absorb blame when markets fall. An AI advisor has to engineer that same psychological safety net without a face attached to it, or personalisation becomes a thin veneer over a service people still don't fully trust with their money. The operators who win this category won't be the ones with the best algorithms; they'll be the ones who design the moments of doubt — market drops, big withdrawals, life shocks — as carefully as they design the onboarding flow.