Rasēd Raises Pre-Seed Round for AI Fraud Platform
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Rasēd Raises Pre-Seed Round for AI Fraud Platform

Saudi startup secures backing to scale real-time fraud detection for banks and fintechs

11/10/2025
Ali Abounasr El Alaoui
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Saudi Arabia’s Rasēd has closed a pre-seed round to accelerate its AI platform for financial fraud detection and prevention. The company positions its technology to help banks, fintechs, and payment providers counter rising digital fraud without compromising user experience. The funding underscores investor conviction that smarter, behavior-aware defenses are becoming a baseline requirement in financial services.


Funding and Investors

The round was led by Wa’ed Ventures and SHARE Investment Co., with additional backers joining the syndicate. The investors are backing Rasēd’s approach to proactive detection that flags and blocks suspicious activity before losses occur. Terms were not disclosed, but the capital will be directed toward product development, hiring, and go-to-market execution.

Founding Team and Mission

Rasēd was founded in 2022 by Dr. Talal Albadrani and Mostafa Al-Salhi to modernize how financial institutions stop fraud. Their vision centers on using device intelligence and behavioral signals to predict risk in real time rather than reacting after the fact. The team argues this approach reduces friction for genuine users while raising the cost and complexity for bad actors.

Technology and Capabilities

At the core of Rasēd’s stack is an AI engine that learns user behavior patterns and correlates them with device fingerprints. The system analyzes signals in fractions of a second to detect anomalies, predict potential risks, and adapt to new attack vectors. Cognitive analysis techniques then score transactions and sessions so institutions can intervene early with high confidence.

Compliance and Performance

The platform is designed to be compliant with Saudi Central Bank requirements and broader regulatory expectations around transparency and auditability. Built-in privacy safeguards, ready-to-review logs, and explainable decisioning aim to satisfy risk and compliance teams. By continuously learning, the models target lower false positives, which can reduce manual reviews and customer friction.

Products and Integration

Rasēd offers a Fraud Detection and Prevention Platform for live decisioning and an Analytical Engine for post-incident forensics and compliance reporting. A case-management module helps fraud teams investigate, document, and resolve events within a unified workflow. Institutions can integrate through APIs or SDKs to embed the engine into mobile, web, and core transaction systems quickly.

Use Cases and Customers

The company targets banks, fintech companies, payment service providers, and regulatory bodies that need to monitor high-velocity digital interactions. Typical use cases span account opening, login, device binding, payment authorization, and high-risk session monitoring. The aim is to stop suspicious actions before they escalate, preserving trust while maintaining a smooth user journey.

Market Context and Differentiation

Digital fraud in the region is growing in sophistication, with adversaries blending social engineering, credential stuffing, and device spoofing. Rasēd differentiates by combining device intelligence, behavioral biometrics, and adaptive AI rather than relying on static rule sets alone. That combination seeks to keep pace with evolving tactics and to generalize across new channels and products.

Growth Strategy and Expansion

Rasēd serves institutions in Saudi Arabia and plans to expand across the Gulf and into additional international markets. The company is investing in scalability so that customers can onboard quickly and extend protections to new geographies and product lines. Partnerships with processors and core banking providers are being explored to accelerate distribution and lower integration costs.


With new funding and a platform built for speed, explainability, and regulatory alignment, Rasēd is positioning itself as a regional fraud-prevention contender. The founders believe behavior-aware AI can deliver stronger protection while preserving user experience at scale. If execution matches ambition, Rasēd could become a preferred layer of defense for financial institutions navigating the next wave of digital risk.