Slash hits $300M revenue with 70 employees, launches AI agent 'Twin' and eyes global expansion via stablecoins

Slash

Victor Cardenas, co-founder and CEO of Slash, is building what he describes as "this generation's JPMorgan" — a business banking platform targeting the roughly 95% of American businesses that still bank with legacy institutions. Slash has 5,000 business customers spending nearly $10 billion annually on its corporate cards.

The headline number is the efficiency story. Slash is approaching $300 million in annual revenue with a team of just 70 people, implying more than $4 million in revenue per employee. Cardenas attributes that ratio to replacing headcount-heavy back-office functions — dispute processing, document parsing for applications, SAR filings to regulators — with AI agents. That operating model was a central part of the investor pitch.

“Our business approaching $300,000,000 in annual revenue. We have a team of just around 70 people. So our business has over $4,000,000 in revenue per employee. Over 5,000 businesses spend nearly $10,000,000,000 a year on our corporate cards.”

Twin

Alongside the funding, Slash launched Twin, an AI agent that lets business owners and employees take any action within the Slash dashboard using natural language. The more distinctive capability is purchasing: because Slash is the card issuer, Twin can make purchases on the internet on users' behalf. Cardenas's example is an employee telling Twin to place a DoorDash or Instacart order directly.

Global expansion via stablecoins

The second use of the new capital is international expansion. Cardenas argues that stablecoins now let a US fintech deliver USD banking products globally without the jurisdiction-by-jurisdiction licensing that previously made international expansion prohibitive. The pitch to investors was that Slash could bring the same product quality it has delivered to American SMBs to business owners worldwide.

Go-to-market

Slash targets specific verticals rather than the SMB market broadly, building referral flywheels within each sector. The bet is that a product tuned tightly to one industry's needs drives high willingness to refer, which compounds customer acquisition without scaling headcount proportionally.

The fundraise amount was not disclosed in the conversation.