Fintech7 mins read

Skalar’s New Financing Model Targets Startup Customer Acquisition Costs

Newly launched Skalar is offering startups capital for sales and marketing, with repayment tied to revenue from customers acquired using that funding rather than a fixed debt schedule.

Illustrations of flying money kites. Generic money.
Image credits:Dom Guzman

The Launch: Funding Growth Without a Fixed Payback Clock

Skalar, a New York-based fintech company, publicly launched with an undisclosed seed round led by São Paulo-based Monashees and a debt financing partnership with General Catalyst’s Customer Value Fund. Since its January inception, the company has committed to finance more than $125 million in sales and marketing spending across seven technology companies over the next 12 months.

The pitch is aimed at a common startup problem: companies often spend heavily to acquire customers who may not generate enough revenue to cover those costs for months or years. Skalar’s model is designed to finance that gap without taking equity or requiring repayment on a fixed schedule.

How Skalar’s Customer-Revenue Repayment Works

Sebastian Cardenas and Daniel Castrillon, co-founders and CEOs of Skalar.
Image credits:Courtesy photo

Skalar provides startups with capital for sales and marketing initiatives, then gets repaid from the revenue generated by customers acquired with that capital. Current deals generally call for Skalar to collect about 1.1x the amount provided.

If the acquired customers generate less revenue than expected, Skalar says it absorbs the shortfall rather than requiring the startup to repay the full original amount. Repayment timing depends on how quickly the customer revenue arrives, which can help reduce cash-pressure risk compared with a fixed repayment schedule.

Why It Differs From Venture Debt and Revenue-Based Financing

Skalar’s founders position the structure as distinct from venture debt, which can give startups flexible funding without equity dilution but still carries repayment obligations, interest and risk. They also contrast it with revenue-based financing, which typically advances money against signed contracts or revenue already being generated.

Skalar finances a potential new revenue source before it exists, which means the company must underwrite customer acquisition performance closely. It analyzes transaction data, customer acquisition costs, retention and revenue over time, and updates assessments as new information comes in.

What Founders Should Weigh Before Using It

The structure has limits and risks. Skalar sets minimum revenue targets, can require faster repayment if results fall below those targets, and may stop providing additional capital under certain circumstances.

The model is currently aimed at technology companies spending between $100,000 and $3 million per month acquiring customers, with a consistent record of earning more from those customers than they spend to acquire them. Skalar initially plans to work with no more than 15 companies per year, making it a targeted option rather than a broad-market funding product at launch.

The Bigger Bet: More Growth Capital Beyond Traditional VC

Skalar’s first seven customers include four or five Latin American companies, as well as businesses in the United States. Its founders see longer-term potential beyond venture-backed startups, particularly for businesses that may struggle to raise venture capital because of location, industry or growth rate but can show predictable financial performance.

For startups that can raise venture capital, the model offers a way to finance more predictable growth without giving up additional ownership. For companies outside the core venture market, Skalar is betting that performance-based underwriting can open access to capital that has historically been harder to secure.

Discover More

    Illustration for the US Navy technology wish list
    US Navy Tech Wish List

    The Navy is signaling where founders and investors should build next, from AI and quantum to secure networking.

    Defense TechAI
    A geothermal drilling rig sits in a forest in Oregon.
    Mazama Raises $135M

    The geothermal startup is drilling deep in Oregon to tap super-hot rock for 24/7 power.

    GeothermalClimate Tech
    Digitally generated AI chatbot assistants standing on a segmented floor, symbolizing distributed and modular artificial intelligence systems.
    AI Policing AI

    AI agents are moving too fast for human-only oversight, pushing labs toward AI monitors and stronger security logging.

    AI SafetyAI Agents