





Because the industry just entered a growth era that rewards judgment over volume. Capital is flowing into fintech again, the market is on track to triple by 2030, and profitability among the category leaders is at its highest point yet. Meanwhile the technology everyone is adopting looks identical from company to company.
Agentic workflows, real-time payment rails, embedded finance: every vendor sells from the same menu, so the menu can't be what sets you apart. Custom product is where judgment gets expressed. It's deciding which capabilities belong in your product, who it serves, and how the experience earns trust when someone's money is on the line. That is product strategy, product design, and product leadership work, and it is exactly the work we do.
Projected size of the fintech industry by 2030
Of financial service firms see AI as transformational to their competitive advantage in 2026




Our heritage is in product design and UX, so we don't put ourselves in the software development category. We start earlier, with the questions a feature list can't answer: which product is worth building, who it's for, and how it fits the systems and regulations you already live with. In finance that ordering matters, because the experience layer is where customers decide whether to stay, and it's usually the last thing a development shop thinks about.
It depends on the shape of your business, and we mean that sincerely. Some engagements start with a prototype that proves a direction in weeks. Others are strategic, helping leadership decide where the next year of product investment should go. Others are iterative, working alongside your team release after release. The constant is that you'll leave with a clearer product, a sharper point of view on your customer, and decisions you can defend to your board.
We hold a simple position on it: when everyone has access to the same models, taste and judgment become the advantage. AI earns a place in your product when it makes the person using it more effective, and we're candid when it doesn't. In practice that ranges from assessing where AI genuinely belongs on your roadmap to prototyping agentic features against real customer workflows, always with the compliance and trust constraints of finance in the room from day one. You can read our full perspective at crema.us/ai.
Carefully, and in partnership with your teams. Working with major financial brands means our security practices are held to a high standard, and we work closely with in-house security, legal, and compliance groups from the start of an engagement instead of treating them as a final checkpoint. If your industry has a review process, we'd rather be in it early.