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Case Study

Gen-AI Conversational Analytics Platforms

Delivered a custom Gen-AI conversational analytics platform through dedicated frontend engineering, enabling faster data exploration and improved team collaboration.

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The Story

The client set out to build Qiddiya, a Gen-AI conversational analytics platform designed for data exploration, visualization, and knowledge reuse. Unlike generic chat interfaces, the product required deep frontend engineering to merge AI conversations with interactive charts, tables, datasets, and exports. FiftyFive was engaged as a technology partner to deliver the complete frontend as a custom software development engagement. A single dedicated frontend engineer from FiftyFive owned the full frontend lifecycle, ensuring speed, scalability, and long-term maintainability.

The client is an AI and data innovation company building enterprise-grade Gen-AI platforms that enable conversational data analysis, visualization, and collaboration for business users across global markets.

Testimonial

Abhay Mathur

Head of Mobile Development

Challenges

  • > Building a ChatGPT-style conversational UI supporting embedded charts, tables, and datasets.

  • > Rendering dynamic, interactive visualizations inside AI-generated responses.

  • > Enabling bidirectional interaction between AI prompts and visual data components.

  • > Managing large datasets and multiple concurrent conversation states efficiently.

  • > Implementing export, pin, star, and organization features without UI complexity.

  • > Developing drag-and-drop pinboard functionality with persistent ordering.

  • > Ensuring performance, scalability, and UX consistency under single-developer ownership.

The Solution

  • > Designed a modular frontend architecture using Next.js and TypeScript.

  • > Developed a conversational UI with multi-threaded chat state management.

  • > Implemented reusable chart and table components rendered dynamically within chat.

  • > Enabled datapoint selection and contextual prompt injection from visual components.

  • > Built dataset ingestion and conversational exploration workflows.

  • > Implemented knowledge management features including pinning, starring, folders, and grouping.

  • > Developed PDF export functionality preserving layout, charts, tables, and branding.

  • > Built a responsive pinboard dashboard with vertical drag-and-drop reordering.

The Outcome

The client successfully launched Qiddiya as a production-ready Gen-AI conversational analytics platform owned entirely by the client. The solution enabled non-technical users to explore data through natural language, reducing dependency on manual analysis workflows. Interactive charts and tables accelerated insight discovery and reuse across teams, improving collaboration and decision-making. The dedicated frontend delivery model reduced development overhead while maintaining enterprise-grade performance and scalability. This engagement demonstrated FiftyFive’s ability to deliver complex, custom Gen-AI software through focused engineering ownership, enabling faster product launch, lower operational risk, and a scalable foundation for future platform growth.

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