Butter Payments

Butter Payments

Optimizes each and every payment for individual success.

HQ location
San Francisco, United States
Launch date
Employees
Enterprise value
$100m
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DateInvestorsAmountRound
-investor investor

€0.0

round
N/A

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
*

$22.0m

Valuation: $100m

Series A
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth-327 %205 %
EBITDA000000000000
Profit000000000000
EV000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000

Source: Dealroom estimates

More about Butter Payments
Made with AI
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Butter Payments is a financial technology startup that uses machine learning to help businesses recover failed payments, a common issue that can lead to significant revenue loss. The company operates in the B2C, B2B, SaaS, and e-commerce subscription markets, serving clients who rely on recurring payments for their revenue.

Butter Payments' business model is based on a per-payment approach, where each failed payment is processed individually, not in batches. This allows for a more tailored approach to each payment, increasing the chances of recovery. The company uses machine learning models customized to each client's business to determine the best retry strategy for each failed payment.

Butter Payments integrates directly with clients' payment processors and subscription management platforms, including both commercial tech stacks like Stripe and Recharge, and custom platforms built in-house. The company places a high priority on security and compliance, with regular vulnerability assessments and penetration testing, and is SOC 2 Type 2 and PCI DSS Level 2 compliant.

The company operates on a revenue share model, meaning it only makes money when it successfully recovers a client's revenue. There are no retainer fees, and the company provides dedicated customer support.

In summary, Butter Payments is a fintech startup that uses machine learning to help subscription-based businesses recover failed payments, thereby increasing their annual recurring revenue (ARR) and reducing churn.

Keywords: Fintech, Machine Learning, Payment Recovery, Subscription Businesses, Revenue Growth, Security and Compliance, Revenue Share Model, Customer Support, Payment Processor Integration, Customized Retry Strategy.

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