Innovative IT Solutions Empowering Enterprises
S.Nexus Technology Solutions is a premier Information Technology, data, and software development consultancy renowned for its deep expertise in designing and implementing sophisticated.enterprise software architectures. With a keen focus on innovation and quality, we deliver high-performance, low-latency IT systems and software solutions tailored to the unique needs of our clients. Our extensive experience spans the government, finance, and e-commerce sectors, where we empower organizations to achieve their strategic objectives through cutting-edge technology.
Our Services
Unlock Your Digital Potential: Premier Technology Solutions from S.Nexus
Real-Time Financial Metrics Dashboard
Provides a comprehensive overview of critical financial metrics including haircuts, counterparties' positions, and available headroom in real-time, enhancing decision-making capabilities.
Cloud-Based Optimization
Leveraging cloud infrastructure to reduce model execution time for real-time risk assessments, ensuring scalability and high performance in handling increased data volumes while optimizing resource allocation for efficient operations.
AI-Driven OCR Technology
Incorporating AI-driven Optical Character Recognition (OCR) technology to automate the processing of millions of airwaybills, achieving a 70% reduction in costs and a substantial increase in efficiency.
Machine Learning Model Builder
Empowering non-technical users to design and train machine learning models using Python and Node.js, enabling the exploration of relationships and correlations between data sources to inform future scenarios.
Data Pipeline Infrastructurer
Utilizing a three-tiered data pipeline infrastructure consisting of a Data Lake, Data Warehouse, and Serving Layer to efficiently manage and analyze unstructured warranty claim documents, enhancing data management and analytics efficiency.
Real-Time Financial Metrics Dashboard
Provides a comprehensive overview of critical financial metrics including haircuts, counterparties' positions, and available headroom in real-time, enhancing decision-making capabilities.
Cloud-Based Optimization
Leveraging cloud infrastructure to reduce model execution time for real-time risk assessments, ensuring scalability and high performance in handling increased data volumes while optimizing resource allocation for efficient operations.
AI-Driven OCR Technology
Incorporating AI-driven Optical Character Recognition (OCR) technology to automate the processing of millions of airwaybills, achieving a 70% reduction in costs and a substantial increase in efficiency.
Machine Learning Model Builder
Empowering non-technical users to design and train machine learning models using Python and Node.js, enabling the exploration of relationships and correlations between data sources to inform future scenarios.
Data Pipeline Infrastructurer
Utilizing a three-tiered data pipeline infrastructure consisting of a Data Lake, Data Warehouse, and Serving Layer to efficiently manage and analyze unstructured warranty claim documents, enhancing data management and analytics efficiency.
Our Case Studies
Collateral Management System
London Stock Exchange Group (UK)
S.Nexus I.T Solutions successfully undertook an innovative project for the London Stock Exchange Group, focusing on the development of an optimized digital collateral and liquidity risk management system. This cutting-edge system was designed to aggregate low-level time series financial data from diverse sources, including banks and Bloomberg, integrating it into a unified platform. The core objective was to provide the front desk with a real-time view of holdings for various counterparties, thereby facilitating effective management of liquidity risks in alignment with the Bank of England's haircut policy.
A standout feature of the system is a specially designed application that offers a real-time overview of critical financial metrics, including haircuts, positions of counterparties, and available headroom. This tool is pivotal in enhancing decision-making capabilities at the front desk, enabling a more dynamic and responsive approach to liquidity risk management.
Statistical Production and Compilation Environment (SPACE)
European Central Bank(Germany)
S.Nexus I.T Solutions played a critical role in a significant project initiated by the European Central Bank (ECB) in Frankfurt, showcasing their expertise in the field of enterprise analytics platforms. Subcontracted by T-Systems, S.Nexus I.T Solutions was entrusted with the development of key components for the ECB's new analytics platform, SPACE (Statistical Production and Compilation Environment), which evolved from the existing DISC (Data Intelligence Service Center) platform. liquidity risks in alignment with the Bank of England's haircut policy.
In this collaboration, S.Nexus I.T Solutions demonstrated its proficiency in complex technology integrations and data strategies. They successfully migrated data and business logic from the ECB's current system to the new SPACE platform, working alongside T-Systems, technology partner Cloudera, and implementation partner Ultra Tendency.
Intraday Risk Calculation Engine
UBS (UK)
Transformation of UBS Investment Bank's Intraday Risk Calculation Engine:
Cloud-Based Optimization: We deployed cloud infrastructure, significantly reducing model execution time for real-time risk assessments.
Database Migration: We transitioned UBS's database from SQL to MongoDB, enhancing data handling efficiency.
Python Model Reconstruction: We rebuilt risk calculation models using Python for advanced analytics.
Scalability and Performance: Our design ensured scalability and high performance in handling increased data volumes.
Efficient Resource Allocation: Cloud solutions optimized resource allocation, reducing operational costs.
Document MS
Worldwide Flight Services (UK)
We designed and executed a sophisticated project for WFS, incorporating AI-driven OCR (Optical Character Recognition) technology to automate the processing of millions of airwaybills. This state-of-the-art document management pipeline was adept at not only extracting but also understanding the contents of these documents. As a result, we achieved a staggering 70% reduction in costs, a substantial increase in efficiency, and a significant decrease in the time required to derive value from their documents, reducing it to just a few seconds.
Bespoke FinTech Solutions
Zooblin (UK)
Zooblin is a white-label B2B2C core payment platform that is designed to offer exceptional value and user experience to customers.
The solution also comes fully integrated with capabilities from a network of fintech partners, providing a comprehensive range of financial services to users.
The platform is designed to help organizations offer a best-in-class digital wallet experience to their customers, delivering the features and capabilities that they need to manage their finances efficiently and effectively.
ML Model Builder
Office of Rail and Road (UK)
The ORR Model Builder uses Python and Node.js which allow a non-technical user to design and train machine learning models to find relationships and correlations between data sources and explore future scenarios. The GUI has been deployed to ORR’s Microsoft Azure account and allows data exploration and showcases some of the potential for machine learning at ORR. The project has also given insights into future possibilities for a more advanced GUI.
In addition, we have assembled a GUI called the Daily Logs Explorer which performs some analysis of the text data that ORR possesses.
Data Processing Framework
Tarion (Canada)
Tarion, a Canadian firm providing home buyer warranties, handles a large volume of unstructured warranty claim documents. Using an NLP system, we analyzed these documents to identify trends and develop predictive models, organizing this knowledge efficiently
Our solution features a three-tiered data pipeline infrastructure, consisting of a Data Lake for storing vast raw data, a Data Warehouse for structured data organization, and a Serving Layer that ensures swift access to processed data. This setup significantly enhances data management and analytics efficiency.
Analytics Engine
Yell (UK)
The advanced data analytics engine dramatically enhances data handling, cutting processing time from 6 weeks to 24 hours. It efficiently gathers, cleanses, and integrates data from various sources into systems like Elasticsearch and relational databases. This upgrade has resulted in the replacement of 7 older applications and enables secure API-based data integration for use in dashboards, mobile applications, and sales tools.
A specialized dashboard for the Yell CEO has been developed, providing a comprehensive overview of product performance. It features an automated data collation, analysis, and update system, with time series analysis, anomaly detection, and monthly insights generation for strategic decisions.
Our Technologies
