Empowering Easy Access to High-Value Data

Suria Yang, Founder & CEO is venture backed machine intelligence company, focusing on natural language understanding and knowledge representation in finance domain. It empowers knowledge professionals with easy access to high-value data.

Suria Yang, a serial fin-tech entrepreneur, starting her career in software development, followed by investment banking and investing, founded in Sunnyvale, Silicon Valley after her last exit. The company offers CYPREX, an AI-powered platform that allows financial institutions to manage and discover high-value data and improve their decision-making. Having received an overwhelming response from pilot clients for the easy plug-in and easy access to high-value data, Suria and her team expanded their footprint to China to cater to the specific needs of the Asian financial market.

The financial market in Asia is still maturing unlike the U.S. While financial institutions are excited about the prospect of using advanced data-driven technologies, lack of expertise and IT infrastructure is posing significant challenges for them to innovate faster. With fast development in the areas of natural language processing and deep learning, aims to leverage the trend and build cutting-edge solutions and services for their clients from the financial industry. Team brings to bear its ten years of expertise in machine learning and knowledge graph to build an enterprise solution that delivers context intelligence and can transform disconnected and unstructured data points into a story. “Through our platform, we help financial institutions overcome the traditional barriers to innovation by streamlining data aggregation and analysis; we make financial data access and understanding easy,” says Suria.
As one of the most rapidly growing financial technology companies in China, uses knowledge graph to manage the enormous deluge of work data and discover real-time information to create value delivery to clients. Developed by domain experts who have years of experience in solving industry challenges, CYPREX consists of a Data Management Module and AI-based decision engine. The Data Management Module, helping every data-driven team build an agile data workshop, helps financial institutions work with complicated data suppliers, to consolidate both structured and unstructured data resulting simplified workflows. It can also be quickly integrated with any internal system with its API. The AI-powered platform is equipped with various features such as knowledge-based semantic search with support for Smart Draft while writing and researching. Users can easily find important content in real-time and boost the speed of script generation. At the same time, its Active Penetration Module, built upon semantic search engine, provides a complete view of incident relation, which helps fund managers understand and manage their holdings.

At its early development stage, offered customized solutions to its first few clients. The company carefully plans the necessary steps of action to help its customers reach their business objectives by effectively managing the entire customer engagement and service delivery. Now, CYPREX can also serve its prospective clients with different combination of modules.

With a growing customer base, is sprinting ahead in full steam. Suria and her team are dedicated to further their R&D in the areas of natural language understanding and knowledge representation that will enhance the capabilities of the platform. The company is also aiming to serve clients that are not limited to financial institutions but also from other industries, and build new solutions to solve most of their challenges.


Sunnyvale, CA

Suria Yang, Founder & CEO

Description leverages AI technology to innovate the application in the financial field, for enterprise refined data management and intelligent application solutions. Primary offering of includes improved data collection, data processing, distributed storage, algorithm de-noising, knowledge modeling, natural language processing, and intelligent application processes to improve the efficiency of high-quality data acquisition