EverC

EverC, established in 2015, operates as a risk management firm specializing in the e-commerce sector. The company was brought to life by a team of co-founders: Ariel Tiger, who now serves as an active board member, Noam Rabi, the Chief Technology Officer, and Raz Abramov. Their collective expertise in risk intelligence, data science, and financial technology underpins the company's strategic direction. The firm's core mission is to mitigate online commercial risks for its clients.

The company provides a suite of software-as-a-service (SaaS) solutions designed to identify and manage risks associated with online merchants and transactions. Its primary offering, MarketView, is an AI-powered platform that gives payment processors and acquiring banks visibility into their merchant portfolios, helping them detect and remove high-risk sellers from their platforms. Another key product, MerchantView, allows for the underwriting of new merchants by using data to assess their risk profile before they are onboarded. This service helps clients comply with regulations and avoid fines from card networks like Visa and Mastercard. EverC's technology is capable of scanning billions of data points to uncover potential instances of money laundering, hidden transaction funnels, and the sale of illegal goods.

EverC's business model is centered on providing these risk detection and compliance services to financial institutions, payment service providers (PSPs), and e-commerce marketplaces. By automating the traditionally manual process of merchant risk assessment, the company enables its clients to scale their operations while maintaining regulatory compliance and mitigating financial losses. The firm has secured significant funding to support its growth, including a $35 million Series B round, underscoring investor confidence in its market position and technological capabilities.

Keywords: e-commerce risk, merchant underwriting, payment compliance, fraud detection, online risk management, RegTech, FinTech, merchant monitoring, transaction laundering, AI-powered risk