Payoneer Partners with Oscilar to Power Real-Time Fraud Intelligence

Payoneer (NASDAQ: PAYO) selected Oscilar to modernize its fraud and risk intelligence by integrating Oscilar's AI Risk Decisioning platform into Payoneer's core payment systems on Dec. 11, 2025.

Rhea-AI Summary

Payoneer (NASDAQ: PAYO) selected Oscilar to modernize its fraud and risk intelligence by integrating Oscilar's AI Risk Decisioning platform into Payoneer's core payment systems on Dec. 11, 2025.

The integration aims to strengthen predictive analytics, speed model iteration, enable real‑time adaptation to emerging fraud patterns, and deliver autonomous, scalable controls while preserving a frictionless customer experience across Payoneer's global payments network.

Payoneer's platform supports tens of billions of dollars in volume, operates across more than 7,000 trade corridors, and serves millions of SMBs, marketplaces, and freelancers.

Positive

• Processes tens of billions of dollars in volume
• Operates across >7,000 trade corridors worldwide
• Serves millions of SMBs, marketplaces, and freelancers
• Integrates Oscilar AI Risk Decisioning platform

Negative

• None.

Argus Dec 11 session

+0.17% close to close Open Argus

Details

News Market Reaction – PAYO

On Dec 11, the day this news came out, PAYO closed 0.17% above the previous close.

Data tracked by StockTitan Argus for the Dec 11 session.

Key Figures

Trade corridors: more than 7,000

Trade corridors

more than 7,000

Global trade corridors supported by Payoneer’s risk platform

Historical Context

5 past events · Latest: Nov 19

5 events

1. Nov 19

   Conference participation

   24h Move

   +1.9%

   Announcement of CFO fireside chat at UBS Global Technology and AI Conference.

2. Nov 19

   Conference participation

   24h Move

   +1.9%

   Repeat notice of participation in UBS Global Technology and AI Conference.

3. Nov 05

   Earnings release

   24h Move

   -5.5%

   Record Q3 2025 revenue, strong SMB growth, higher ARPU and raised guidance.

4. Oct 22

   Earnings timing

   24h Move

   -0.5%

   Scheduling of Q3 2025 earnings release and conference call details.

5. Oct 22

   Earnings timing

   24h Move

   -0.5%

   Duplicate announcement of upcoming Q3 2025 results and webcast access.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

machine-learning, predictive analytics, digital payments, ai risk decisioning

4 terms

machine-learning technical

"By integrating Oscilar's AI and machine-learning infrastructure, Payoneer aims"

Machine-learning is a type of computer software that improves its performance by finding patterns in data rather than following fixed rules. Think of it like a digital apprentice that gets better at tasks — such as spotting customer trends, predicting demand, or automating routine work — the more examples it sees. Investors care because machine-learning can boost revenue, cut costs, create competitive advantages, and introduce new risks tied to data quality and model errors.

predictive analytics technical

"strengthen its fraud prevention capabilities through predictive analytics and intelligent"

Predictive analytics uses historical data and patterns to estimate future outcomes, like sales, customer behavior, or operational problems. For investors it matters because it turns past signals into probable forecasts—similar to a weather forecast or traffic app—helping assess potential risks, spot opportunities, and prioritize where to allocate capital, while remembering that predictions carry uncertainty and are not guarantees.

digital payments technical

"fraud patterns across Payoneer's global digital payments network."

Digital payments are ways money moves electronically instead of using cash or checks, such as paying with a card, phone app, online bank transfer, or a stored account. For investors, they matter because they change how fast and cheaply companies sell goods and collect money, expand customer reach, and create new fee or data-driven revenue streams while also introducing technology, fraud and regulatory risks that can affect profitability and growth.

ai risk decisioning technical

"Oscilar's AI Risk Decisioning™ platform is designed to enhance threat detection"

AI risk decisioning is the use of artificial intelligence systems to evaluate and choose actions around financial risks—such as lending scores, insurance underwriting, fraud checks, or portfolio exposures—without relying solely on humans. It matters to investors because these systems can speed decisions, lower costs and detect patterns humans miss, but they also introduce model errors, regulatory scrutiny and bias risks; think of it as an automated helper that can be much faster than a human but must be watched closely for mistakes.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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PALO ALTO, Calif., Dec. 11, 2025 /PRNewswire/ -- Oscilar today announced that Payoneer (NASDAQ: PAYO), the global financial technology company powering business growth across borders, has selected it to help modernize the company's fraud and risk intelligence across its core payment systems. By integrating Oscilar's AI and machine-learning infrastructure, Payoneer aims to strengthen its fraud prevention capabilities through predictive analytics and intelligent automation. Oscilar's AI Risk Decisioning™ platform is designed to enhance threat detection, speed up model iteration, and adapt in real time to emerging fraud patterns across Payoneer's global digital payments network. 

This integrates AI as a foundational part of Payoneer's risk operations and infrastructure by using machine learning to drive data-driven decisioning across its global fintech ecosystem. By shifting to AI driven fraud prevention, Payoneer can deliver autonomous, scalable controls for detecting and preventing fraud while enabling a frictionless, personalized experience for customers, aiming to position the company as a leader in cross-border digital payments. 

Payoneer's platform supports millions of SMBs, marketplaces, and freelancers around the world, using sophisticated risk management infrastructure that leverages machine-learning-based fraud typologies to address the unique challenges of digital commerce. Its global risk platform supports tens of billions of dollars in volume across more than 7,000 trade corridors and millions of participants worldwide.

"We're investing in intelligent fraud detection infrastructure designed for our scale and customer diversity," said Micheal Sheehy, Chief Compliance Officer, Payoneer. "Oscilar's AI architecture empowers us with the agility to rapidly iterate our models, leverage continuous machine-learning capabilities, and orchestrate complex risk strategies across our diverse payment ecosystems." 

"Payoneer operates a highly sophisticated global payments network, and we're excited to help elevate their fraud strategy," said Neha Narkhede, Co-Founder and CEO of Oscilar. "Oscilar was built for high-scale, high-variation environments where behavior shifts quickly and precision matters. But more importantly, it's built on the belief that smarter risk systems can create more open, trusted, and inclusive financial experiences. By enabling Payoneer to make clearer, more confident decisions, we're helping remove unnecessary friction for users while strengthening the integrity of their global ecosystem."

About Payoneer
Payoneer is the financial platform for cross-border business and global payments. Payoneer empowers millions of businesses with the financial tools and services they need to grow and transact globally with confidence. We make it easier for SMBs, particularly in emerging markets, to connect to the global economy, pay and get paid across borders, manage their funds across multiple currencies, and grow their businesses. 

About Oscilar
Oscilar powers real-time risk decisioning across fraud, credit, and compliance through a single, unified solution. Its no-code AI Risk Decisioning™ platform leverages agentic AI and advanced signal processing to analyze complex data, detect anomalies, and automate mission-critical decisions with speed and precision. Built by the team behind risk systems at Google, Meta, Uber, Citi, and J.P. Morgan, Oscilar combines deep technical expertise with cloud-native architecture to deliver scalability, transparency, and regulatory-grade performance. Oscilar empowers banks, fintechs, and digital asset services to navigate complex risk landscapes and grow with confidence in an AI-activated world. Learn more at https://oscilar.com. 

View original content to download multimedia:https://www.prnewswire.com/news-releases/payoneer-partners-with-oscilar-to-power-real-time-fraud-intelligence-302639250.html

SOURCE Oscilar, Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Payoneer announce on Dec. 11, 2025 regarding fraud prevention (PAYO)?

Payoneer announced it selected Oscilar to integrate the AI Risk Decisioning platform to modernize fraud and risk intelligence.

How will Oscilar's platform affect Payoneer (PAYO) fraud detection capabilities?

Oscilar's platform aims to enable predictive analytics, faster model iteration, and real‑time adaptation to emerging fraud patterns.

Does the Payoneer announcement provide scale metrics for its payments network (PAYO)?

Yes; Payoneer's global risk platform supports tens of billions of dollars in volume across more than 7,000 trade corridors and millions of users.

Will the Oscilar integration change the customer experience for Payoneer users (PAYO)?

The companies say the integration aims to reduce unnecessary friction and enable a more personalized, frictionless experience for customers.

What specific technology is Payoneer adopting from Oscilar (PAYO)?

Payoneer is adopting Oscilar's AI Risk Decisioning platform, built for high‑scale, high‑variation environments.

Is the Oscilar partnership expected to be real time for Payoneer risk operations (PAYO)?

Yes; the announcement says the platform will help Payoneer adapt in real time to emerging fraud patterns and orchestrate risk strategies.