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Nexus FrontierTech partners with Microsoft Azure

by techsterhub bureau
December 6, 2022
Nexus FrontierTech partners with Microsoft Azure
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Nexus FrontierTech, the provider of artificial intelligence (AI) solutions, has announced its partnership with Microsoft Azure, enabling customers to use the Azure marketplace to rapidly deploy AI solutions in their organizations.

 

Nexus FrontierTech’s first module available on the platform is a UK driver’s license processing solution that extracts personal identity information as well as photo and signature verification. The module seamlessly integrates this data directly into customers’ systems, automates the extraction of both the text data and graphics on the licenses required for identification verification, and provides non-disruptive workflow automation.

 

The Nexus driver’s license extractor is the first of its kind on the Azure marketplace, along with the upcoming modules for financial statements, bank statements, passports, and more.

 

Nexus FrontierTech operates these modules via the Nexus AI Engine, which opens up multiple data types and transforms unstructured data into accurate, actionable, and valuable information using intelligent document processing and NLP. Specializing in banking and financial services, wealth management, retail, and wealth banking, the engine offers over 50 proprietary AI modules that automate high-value workflows such as onboarding, compliance, research, and portfolio monitoring, and allow for quick and easy customization for other data sources.

 

Danny Goh, CEO of Nexus FrontierTech, said: “We are pleased to have successfully launched the Driving License Extractor AI module on the Azure platform, serving our customers in the Microsoft ecosystem. Preparations are already underway for the launch of our other existing modules, and we look forward to delivering a full suite of intelligent automation products through Azure that will support Azure users with the speed and agility they need in their workflows to transform their operations to scale.”

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