Arachnys Announces the Launch of Their CRI Cloud-Native Platform
Arachnys, a cloud-based machine learning platform that automates and integrates cumbersome processes that exist today across Know Your Customer (KYC), Enhanced Due Diligence (EDD) solutions, Customer Due Diligence (CDD) solutions, and Anti-Money Laundering (AML), announced the launch of their Customer Risk Intelligence (CRI) cloud-native platform. The company’s CRI will completely transfigure KYC, client onboarding, CDD, EDD, and AML. The new platform increases the speed, accuracy, and re-uses the information for KYC and onboarding, expedites revenue gain, elevates the customer experience, streamlines compliance efforts, and remodels analytical knowledge into an institutional asset.
The built-in capabilities in the Arachnys’ CRI platform tackles the evolving market dynamics compelling the financial institutions across the globe to focus on the five most significant initiatives like competitive differentiation with boosted client onboarding, real-time money laundering interdiction, recycling of compliance data exhaust, alliance of analytical knowledge, and analyst empowerment. Financial institutions can reduce weeks of onboarding time to avoid the sunken expense of AML remediation cost with CRI and drastically increase analytical throughput by reducing false alarms and quality assurance error rates.
Arachnys’ CRI Cloud-Native Platform enhances efficiency and operational consistency. The Arachnys solution addresses the predicament faced by the banks in the loss of intellectual property when their best investigators leave the company. The Arachnys solution memorizes and memorializes how investigators use information and risk determinations and catalogs that within the system.
Business leaders at Arachnys believe that a modern, cloud-based platform combined with an entity-centric approach provides a similar linguistic communication for assessing company-wide risk and exposure. To achieve this feat, these capabilities must be delivered at a crucial point inside the customer risk evaluation lifecycle. The company is solving complicated problems that require enormous amounts of expertise in financial crime and bank operations. They alone possess the ability to acquire and dilute the complex risk data into highly useful risk decision content. Arachnys have reached a critical point in the market where entity data and analytical intelligence can remodel business performance.
Arachnys’ future investments are in natural language processing and semantic interpretation capabilities to garner meaningful insights from unstructured data through deep web searches, strengthening their compliance and risk investigation services.
Check This Out:
By Leni Kaufman, VP & CIO, Newport News Shipbuilding
By George Evans, CIO, Singing River Health System
By John Kamin, EVP and CIO, Old National Bancorp
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
By Gregory Morrison, SVP & CIO, Cox Enterprises
By Alberto Ruocco, CIO, American Electric Power
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
By Sergey Cherkasov, CIO, PhosAgro
By Pascal Becotte, MD-Global Supply Chain Practice for the...
By Stephen Caulfield, Executive Director, Global Field...
By Shamim Mohammad, SVP & CIO, CarMax
By Ronald Seymore, Managing Director, Enterprise Performance...
By Brad Bodell, SVP and CIO, CNO Financial Group, Inc.
By Jim Whitehurst, CEO, Red Hat
By Clark Golestani, EVP and CIO, Merck
By Scott Craig, Vice President of Product Marketing, Lexmark...
By Dave Kipe, SVP, Global Operations, Scholastic Inc.
By Meerah Rajavel, CIO, Forcepoint
By Amit Bahree, Executive, Global Technology and Innovation,...
By Greg Tacchetti, CIO, State Auto Insurance