Inscribe is a risk operations automation platform that leverages artificial intelligence to help fintechs and banks automate manual reviews, reduce fraud losses, and improve the accuracy and efficiency of risk decisions. Founded in 2017 and headquartered in San Francisco, Inscribe's award-winning Risk Intelligence technology is designed to streamline the traditionally labor-intensive process of fraud detection and risk assessment.
With a focus on automating manual review processes, Inscribe enables financial institutions to lower operational costs and enhance their ability to identify fraudulent activities. Their platform is trusted by leading fintechs such as TripActions, Plaid, Bluevine, and Ramp, highlighting its effectiveness in supporting high-growth digital finance companies. By integrating advanced AI and data analysis, Inscribe helps organizations make faster, more accurate risk decisions, which is increasingly critical in a rapidly evolving financial landscape.
What technology enables Inscribe?
Inscribe leverages artificial intelligence and machine learning to process large volumes of financial and identity documents, detect anomalies, and flag potential fraud in real time. This approach allows for continuous monitoring and automated decision-making, reducing the need for manual intervention and enabling clients to catch fraud earlier in the transaction lifecycle. The platform's ability to automate document analysis and risk evaluation helps financial organizations maintain both compliance and operational agility.
Who uses Inscribe?
Inscribe primarily serves B2B clients in the fintech and banking sectors. Its customer base includes digital-first financial platforms and neobanks seeking to automate risk and compliance operations. Notable customers include TripActions, Plaid, Bluevine, and Ramp. These companies rely on Inscribe to reduce fraud risk, streamline onboarding, and manage ongoing customer due diligence efficiently.
Who are Inscribe's competitors?
Inscribe operates within the fraud detection automation and risk intelligence market, competing with a range of technology providers focused on automating fraud prevention for financial services. Key competitors and related platforms include:
- Deloitte: Offers consulting and solutions around machine learning for fraud risk management.
- Swimlane: Provides automation tools for fraud detection and response.
- Kaspersky Automated Fraud Analytics: Delivers real-time monitoring and fraud detection analytics.
- Verafin: Uses big data analytics and machine learning for fraud detection in financial institutions.
- Tookitaki: Focuses on automated fraud detection and compliance for banks.
- ITESOFT: Specializes in document fraud detection using visual and automated technologies.
- Stripe: Utilizes machine learning for payment fraud detection and prevention.
- IBM: Provides transaction monitoring and real-time fraud detection solutions for enterprises.
These companies differ in their focus areas, ranging from pure fraud analytics to broader risk management and workflow automation platforms, but all leverage automation and AI to address the evolving challenges of fraud in financial services.
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