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P2M.ai jobs and careers

Germany

About P2M.ai

P2M.ai – Real-Time Per-Item Underwriting for the Collateral Finance Market P2M.ai is building the first real-time, AI-driven underwriting engine for the U.S. pawn and collateral-finance market, a sector exceeding $15B in annual loan volume and growing as consumers increasingly turn to asset-backed credit. Yet the infrastructure powering this industry has barely changed in decades: slow approvals, manual valuation, inconsistent risk models, and limited access to fast liquidity. P2M.ai replaces this with instant, per-item underwriting and funding. A pawnbroker uploads an item, and within 30 seconds, our AI models deliver real-time valuation, LTV guidance, and immediate loan approval—no paperwork, no underwriting backlog, no operational friction. This solves the core bottleneck in the market: pawn brokers want to fund more deals, but their capital, decisions, and risk controls can’t move at the speed of customer demand. P2M.ai unlocks that velocity. What the platform delivers: - Instant collateral valuation for gold, luxury goods, collectibles, and high-value items - A scalable risk engine that standardizes underwriting across fragmented markets - Per-item funding that expands broker liquidity and increases loan throughput - A data moat built on images, attributes, pricing feeds, and performance outcomes As average loan tickets rise and collateral quality improves, the opportunity expands. Per-item liquidity enables brokers to grow loan books without expanding balance sheets, opening a scalable, high-margin fintech market. P2M.ai is positioned to become the underwriting layer for asset-backed microcredit - starting with pawn, and extending to any market where objects become credit. Fast. Simple. Predictable. Scalable. A new infrastructure for a market ready to modernize.

Employees
1 to 10
Headquarters
Germany

Leadership

The top of P2M.ai's org chart, with how many people report into each leader.

DYPhoto of Daniel Yerushalmi

Daniel Yerushalmi

Chief Executive Officer

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