• Skalar came out of stealth in September 2026 with an undisclosed Monashees-led seed and a financing line through General Catalyst's Customer Value Fund (CVF).
• Repayment is roughly 1.1x the capital financed, tied only to revenue from acquired customers, with no equity stake and no fixed repayment schedule — Skalar absorbs the shortfall if those customers underperform.
• It targets companies spending $100,000 to $3 million a month on customer acquisition. Since its January 2026 inception, it has committed to finance more than $125 million across seven companies over the next 12 months, and plans to cap itself at 15 companies a year.
• The model is a smaller-check distribution layer on GC's CVF, which has written checks as large as $1 billion (Grammarly) and $200 million (Commure) directly.
• CEO Sebastián Cárdenas built the model while an entrepreneur-in-residence at Monashees, introducing portfolio companies to GC's CVF terms before co-founding Skalar with COO Daniel Castrillón.

Skalar, a New York fintech co-founded by CEO Sebastián Cárdenas and COO Daniel Castrillón, came out of stealth in September 2026 with an undisclosed seed round led by São Paulo venture firm Monashees and a financing partnership with General Catalyst's Customer Value Fund. The product funds a startup's sales-and-marketing spend with no equity stake and no fixed repayment schedule, collecting back roughly 1.1x the capital financed only as revenue from the newly acquired customers arrives — Skalar absorbs the shortfall if those customers underperform, Crunchbase News reported. The structure targets the gap between asset-backed venture debt and dilutive equity.

The unit economics

Skalar targets companies spending $100,000 to $3 million a month on customer acquisition — smaller than the checks General Catalyst underwrites directly, larger than what an early-stage asset-backed venture-debt line typically covers. The 1.1x collection cap is thin next to venture-debt pricing, which layers interest with equity warrants; Skalar's edge is that the meter only runs on revenue the funded spend actually produced, per Crunchbase News. The tradeoff is diligence: Skalar caps itself at 15 companies a year, implying underwriting closer to individual customer-cohort economics than a standardized covenant package.

Where the model came from

Cárdenas built Skalar's financing model while working as an entrepreneur-in-residence at Monashees, where he introduced several portfolio companies directly to General Catalyst's CVF terms before spinning the mechanic out into its own company with Castrillón, Crunchbase News reported. Monashees' seed round — joined by Nido Ventures and unnamed angel investors — is, per the outlet, large by Latin American standards, though neither firm disclosed the amount. Crunchbase News did not report the founders' prior employers or education.

The CVF pipeline gets a smaller-check layer

General Catalyst's Customer Value Fund closed at roughly €604 million, structuring sales-and-marketing spend as a repayable asset rather than equity or fixed debt, according to fund-data platform InforCapital. Its own direct deals run large — Grammarly took $1 billion from the fund in 2025, and healthcare-tech company Commure took $200 million. Skalar effectively originates and services a smaller-check version of that same mechanic for founders below GC's own minimum ticket — a distribution model more than a new financing instrument.

A commitment, not yet a track record

Since its January 2026 inception, Skalar has committed to finance more than $125 million in sales-and-marketing spending across seven companies over the next 12 months, and plans to add no more than 15 companies a year, Crunchbase News reported. That figure is a forward commitment, not capital already deployed and repaid. The real test is what happens once this first cohort's acquired-customer revenue actually comes in: a structure that absorbs the downside on underperforming cohorts is priced to survive some misses, but whether 1.1x covers them stays unverifiable until Skalar discloses realized repayment rates.