As AI systems tackle increasingly complex problems, single-model architectures are starting to show their limits. Agent Mesh introduces a new approach: a network of specialized AI agents that collaborate dynamically to achieve shared goals. Instead of relying on one generalist model, an agent mesh distributes work across agents focused on reasoning, data retrieval, execution, validation, […]
APIs built with human developers as primary users are increasingly unsuited for AI agents, which don’t share human intuitions or access to “tribal knowledge.” Legacy APIs often rely on undocumented behaviors, inconsistencies, or implicit expectations that humans can compensate for—but AI agents cannot. Problems with Legacy APIs What Needs to Change A very detailed analysis […]
The traditional approach to distributed computing—built around frameworks like MapReduce and microservices—is ill-suited for the demands of modern AI, especially large language models (LLMs). The remarkable cost efficiency achieved by DeepSeek in training its LLMs (at a fraction of the cost of industry giants like OpenAI) underscores a fundamental mismatch between legacy infrastructure and the […]
Overview This project involved developing a secure, cloud-based financial management application designed to assist users with account management, expense tracking, market analysis, and financial forecasting. The application leveraged AI algorithms to analyze financial data, provide insights on expense trends, generate projections, and offer actionable recommendations to optimize users’ financial health. Objectives Technology Stack Features Security […]
Background A leading multinational bank sought to modernize its Procure-to-Pay (P2P) system to improve operational efficiency, reduce processing time, and ensure compliance with stringent regulatory requirements. The existing legacy P2P system was fragmented and heavily manual, causing delays, errors, and limited scalability. The bank’s goal was to build a robust, scalable, and highly integrated P2P […]
Background A leading financial institution was relying on a legacy application built in Java to perform critical trade compliance checks and regulatory reporting. The application handled complex compliance calculations on demand, ensuring trades met regulatory standards before execution and reporting. The legacy system was monolithic, had limited scalability, and posed challenges in maintenance and integration […]
Client Objective The client sought to modernize its legacy Java-based applications by integrating them into a contemporary web platform without rewriting existing Java business logic. The goal was to provide a seamless and secure interface within a browser-based Angular frontend, while maintaining performance and compatibility with critical backend processes and native services written in C++. […]
Client OverviewA leading telecommunications company sought to modernize its infrastructure monitoring capabilities to ensure seamless network performance and preemptively address faults within its sprawling network of IoT-enabled devices. Challenge The client faced growing challenges in managing vast amounts of real-time telemetry data generated by thousands of distributed telecom infrastructure devices. Existing monitoring solutions were unable […]
Client Overview A leading UK-based architecture firm sought to modernize its legacy intranet application to improve performance, scalability, and user experience. The existing platform was limiting collaboration and efficiency across their distributed teams, prompting a full rebuild to leverage modern technologies and cloud infrastructure. Challenge The firm required a comprehensive solution that could deliver: Solution […]
Dynamic, High-performance web applications with Angular
