The platform is an innovative health insurance system that leverages full-stack technology to deliver accessible and cost-effective healthcare services. Designed to offer personalized experiences, the platform aims to provide member-focused services while adapting swiftly to evolving needs. With an emphasis on engagement and personalized guidance, it embodies a flexible, technology-driven approach to healthcare.

The platform is an innovative financial planning and analysis (FP&A) solution designed for Excel users seeking to leverage automation in their financial processes. It streamlines data collection, analysis, and reporting while allowing finance professionals to work within their familiar Excel environment.

The service offers a secure and user-friendly interface, enabling users to stake their cryptocurrencies, contribute to blockchain networks, and earn rewards. With a focus on security, transparency, and a seamless user experience, the aims to provide a rewarding staking experience for users.

The platform serves as a unique and innovative food delivery service that provides customers with fresh produce boxes, filled with surplus farm products. The service aims to tackle food waste while promoting healthy nutrition habits.

An advanced system for creating AI-powered chatbots that automate customer support, with a visual bot constructor to design bots using blocks. It employs robust technologies and tools to handle massive data streams in real-time and analyze bot performance.

The platform offers a secure and multifunctional SDK for bank account users, ensuring the safe exchange of sensitive information between banks and clients. By encrypting data, the platform significantly reduces the risk of data leaks during transactions.

This project was meticulously designed to monitor transactions received from banking institutions, ensuring high efficiency and scalability. The architecture featured over 100 microservices that seamlessly interacted to manage various banking operations, including exchange rates, core data ingestion mediation, FKG mediation, and background processing. The system was built to handle millions of transactions daily, with a focus on real-time processing and analytics.

The project aimed to enhance post-trading transaction operations by decomposing transactions into separate entities for specific analytics and custom reporting. It seamlessly integrated with multiple third-party platforms for bidirectional synchronization of transaction data.

For a major retail group, Python developers from Pynest created a system for tracking and managing non-commercial assets, such as uniforms and personal protective equipment (PPE). This system automates the processes of managing, tracking, and replacing uniforms based on events related to employees (onboarding, transfers, terminations). The primary goal was complete automation, requiring minimal involvement from employees beyond updating reference data.

Our Python developers a complete ECOM solution for a leading jewelry retailer, integrating multiple modules to enhance online sales, business process management, content control, and inventory tracking. The goal was to automate all business aspects, improving efficiency and reducing costs.

Pynest’s team developed an advanced Voluntary Health Insurance (VHI) service that combines medical insurance with medtech solutions, enhancing health management for employees and HR departments. The service includes a machine-learning-powered quote calculation module, allowing for tailored insurance quotes based on client-specific risks, along with an HR dashboard for real-time reporting and seamless policy updates. The project architecture consists of approximately 40 modules, structured as a single monolithic application with around 30 microservices. This hybrid approach ensures scalability, flexibility, and efficiency in meeting the diverse needs of the client and its customer base.

This project involved the development of a web service designed to extract key facts from legal documents. The solution significantly accelerated document processing, which is critical for the timely approval of credit applications.