Compare OrboAnywhere vs. Tungsten FraudOne

OrboAnywhere stands out as an advanced check processing platform powered by artificial intelligence and deep learning, which transforms outdated payment processes by integrating high-precision recognition, validation, compliance, and fraud detection into a cohesive service architecture. Central to its functionality, Anywhere Recognition utilizes OrbNet AI to employ field detection and text classification models, achieving read rates exceeding 99% and accuracy rates surpassing 99.5% for CAR, LAR, OCR, and ICR fields. Meanwhile, Anywhere Validate enhances efficiency by automating the testing of payment negotiability to identify misencoded or non-negotiable items. Additionally, Anywhere Compliance conducts ongoing verification of payor and payee data to ensure adherence to various regulations such as OFAC, BSA/AML, UCC, Reg. CC, and KYC. Furthermore, Anywhere Fraud utilizes image-forensics AI technology to identify counterfeit, forged, and altered checks, bolstering security. Tailored for seamless omnichannel integration, OrboAnywhere accommodates teller capture, remote deposit capture (including RDC and MRDC), branch image processing, ATM deposits, lockbox services, and retail remittances, thereby facilitating efficient straight-through processing. This comprehensive approach not only enhances operational efficiency but also ensures that organizations can confidently manage their payment workflows.

Traditional check-clearing methods primarily assess the legal and courtesy limits of check amounts, often resulting in low-risk scores and the potential for false positives. In contrast, Tungsten FraudOne software enhances the detection of counterfeit checks through an innovative fraud scoring engine, which can be integrated with various verification tools to more effectively uncover sophisticated fraud schemes. By utilizing adaptable fraud detection strategies during both the capture and clearing stages, particularly as transaction methods like mobile deposits evolve, businesses can significantly streamline their processes. This solution minimizes the labor-intensive manual review of false positives by effectively differentiating between questionable and valid items. Moreover, it bolsters customer assurance by providing safeguards against signature forgery, check alterations, and fraudulent discrepancies. With improved accuracy, organizations can identify a greater number of suspicious checks in a shorter period, enabling them to scrutinize all checks, not just those of high value. Ultimately, this leads to a more efficient and trustworthy check verification process.