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Analysing endless financial data using legacy systems is time-consuming and fallible. Analysts spend a majority of their time gathering data. Instead of wasting critical time manually scanning every document for meaningful information, they can focus on making investment decisions. The client envisioned an AI-driven platform to automate this task.
They proposed an AI-based equity research solution trained specifically to process financial information such as annual and quarterly reports, earnings call transcripts, investor presentations, etc. This platform can help produce more reliable results than a general-purpose AI chatbot. Crafted using AI development services for financial research, this solution helps reduce manual labour for professionals and businesses across the financial sector. It includes investment funds, hedge funds, asset managers, equity research firms and investment banks.
The client’s vision for this financial research platform was clear. It should have the following core capabilities:
We followed the Iterative Waterfall SDLC model to enable structured planning and execution while allowing improvements and refinements at every development phase. We developed EQL Global using ReactJS with WebSocket to deliver a fast, responsive and intuitive user interface. It also allowed us to implement real-time communication and instant data updates, which ensures users receive the latest financial information without requiring manual page refreshes.
We also deployed a load balancer to distribute incoming requests and maintain high availability and performance during unpredictable traffic spikes. This architecture prevented server overload and ensured a consistent user experience even under heavy demand.
We followed the Iterative Waterfall SDLC model to enable structured planning and execution while allowing improvements and refinements at every development phase. We developed EQL Global using ReactJS with WebSocket to deliver a fast, responsive and intuitive user interface. It also allowed us to implement real-time communication and instant data updates, which ensures users receive the latest financial information without requiring manual page refreshes.
We also deployed a load balancer to distribute incoming requests and maintain high availability and performance during unpredictable traffic spikes. This architecture prevented server overload and ensured a consistent user experience even under heavy demand.
Equity Language Global is an easy-to-access, secure and scalable SaaS platform providing consolidated financial research. It offers faster document analysis, summarisation and information retrieval, which allow investors and analysts to make informed decisions on the go.
IIH Global has developed new functionalities that help improve the app’s overall performance. Using MS Excel, Slack, and email, they lead transparent communication. The client also commends their excellent project management, technical skills, and affordable rates.
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