# Vesta

Vesta is an Asset Manager based in Miami Beach, United States.

## Overview

- **Organization type:** Asset Manager
- **Headquarters:** Miami Beach, United States
- **Region:** North America
- **Address:** Los Angeles, CA, United States
- **Founded:** 2018
- **Assets under management:** Undisclosed
- **Website:** www.vesta.io
- **LinkedIn:** https://www.linkedin.com/company/zoi

## About

Vesta provides telecom-specialized payment processing and fraud prevention for MVNOs and telecommunications companies. It focuses on approving more transactions, eliminating fraud losses, and growing revenue through intelligent payment routing. The company operates as a technology-based firm spanning the globe and serving customers across many countries.

## Sectors

- Telecom & Connectivity
- Payments & Transaction Processing
- Fraud & Risk Management
- Enterprise Software

## People

- Todd Curry — Leadership Team
- Jeff Browning — Leadership Team
- Len Cuoco — Leadership Team
- Tracey Weinberg — Leadership Team
- Jaclyn Jussif — Leadership Team
- Paddy Beagan — Leadership Team

## Questions

### How does Vesta's revenue model differ from a standard payment processor?

Vesta guarantees payment outcomes rather than charging per-transaction screening fees. The firm approves transactions on behalf of telecom carriers and absorbs any resulting fraud losses, which means its revenue is tied to the lift in net approvals it generates — an alignment that standard processors, who earn fees regardless of outcome, do not share.

### Does Vesta take balance-sheet risk on the transactions it processes?

Yes. Vesta's core commercial promise is a payment protection guarantee, meaning the firm assumes first-loss fraud exposure on approved transactions. This makes its balance sheet a direct underwriting vehicle for telecom payment risk, distinct from a software-only risk-scoring vendor.

### How is Vesta's AI decisioning trained, and what makes it telecom-specific?

Vesta states its machine-learning models are built on 25-plus years of telecom transaction data, spanning fraud patterns, carrier-specific approval dynamics, and churn signals unique to subscription and prepaid billing. The firm emphasizes that generalist AI models miss the behavioral nuance of telecom buyers, such as SIM-swap fraud and cross-border top-up attacks.

## Related profiles

- [Earnest](https://altss.com/profile/earnest)

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Last updated: 2026-08-11T15:08:32.892Z

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