Fintech is where the demo-to-production gap gets expensive. Money movement, real-time data, audit, fraud, and compliance aren't features you bolt on later — they're the architecture. I'm Igal: 20+ years building AI and backend systems at real scale, including regulated fintech platforms. I embed as your technical co-founder and take it to production — without the full-time equity.
In most products, a shaky architecture is a rebuild. In fintech, it's a rebuild plus an audit finding, a data-exposure risk, and a reconciliation nightmare. The constraints that feel like friction early — least-privilege access, PII/PCI boundaries, real-time fraud checks, an audit trail — are exactly the things that are ruinous to retrofit. They have to be in the design from day one.
Architecture and service boundaries designed for audit and least-privilege from the start. Compliance-aware infrastructure — data ownership, access control, observability, and incident readiness on the money paths. Real-time and reconciliation systems that hold at scale. Hiring input, architecture reviews, and someone in the room when a payment path fails at 2am. Most engagements start with a two-week Discovery Sprint and continue into an embedded role.
Stepped in as Lead Architect on an AI-driven fintech platform running three independent development teams. Audited the existing system, standardized the stack and service boundaries, and designed a scalable infrastructure model each team could build against on its own — without stepping on each other or the compliance surface. Elsewhere: a real-time data-mining engine architected and shipped 0→1 for a security-intelligence startup, and a platform rebuilt for 200k DAU that cut infrastructure cost from $3,400 to $1,500/month.
I work with a small number of early-stage startups at a time. Tell me where your product is — if I'm not the right call, I'll say so.
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