Sapiom Secures $15.75M in Seed Funding for Machine-Native Financial Infrastructure Platform
The quiet truth about the next economy is that it does not knock. It logs in. It spins up. It buys what it needs and keeps moving. While most people are still arguing about whether AI agents should have wallets, Sapiom decided to build the bank, the bouncer, and the paper trail all at once. That decision just pulled in $15.75M in Seed funding, and it reads less like a headline and more like an inevitability.
Sapiom is building machine-native financial infrastructure so AI agents can procure software, APIs, cloud services, and compute with governance that does not blink. Budgets. Rules. Thresholds. Audit trails. All the unsexy words that keep enterprises alive when automation stops being cute and starts touching money. This is not about letting agents run wild. It is about letting them run correctly, at scale, without a human duct taped to every transaction.
Founder and CEO Ilan Zerbib has been here before. Nearly 5 years inside Shopify payments, climbing from Senior Engineering Manager on Shop Pay and Shop Cash to Director of Engineering for Payments, teaches you what breaks when volume meets reality. Before that, Earny. Built. Funded. Exited. Patterns get familiar when you have earned the scars. Sapiom feels like the synthesis, not the sequel.
The founding team is lean and loud in all the right ways. Founding Engineer Alec McCormick bringing the muscle. Founding Designer Dawa Riley shaping a system that developers will actually want to touch, not just tolerate. This is how infrastructure wins. It works before it explains itself. Congratulations to Founder and CEO Ilan Zerbib and to the CTO seat being defined in real time by the code, not the title.
Accel led the round, with Amit Kumar backing the bet, joined by Okta Ventures, Gradient Ventures, Array Ventures, Menlo Ventures, Anthropic, and Coinbase Ventures. When that many firms who live at the intersection of identity, security, artificial intelligence, and money show up together, it is not trend chasing. It is pattern recognition.
The lesson here is not that AI agents are coming. They are already buying things. The lesson is that trust, controls, and payment rails decide who gets to scale. Sapiom is selling peace of mind to enterprises that want speed without regret, autonomy without chaos, and systems that can explain themselves when the auditors come knocking.