Evolvan - Case Study of File AI
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01 Introduction

The objective of File AI was to develop a scalable and secure SaaS document management solution capable of serving multiple organizations within a single infrastructure while maintaining complete data isolation. The platform required AI-powered semantic search functionality, granular role-based permissions, real-time notifications, audit logging, and secure file storage with S3 integration. Designed using a modern microservices-ready architecture, File Ai delivers enterprise-level performance, security, and extensibility for professional services, healthcare, education, and corporate environments.

02 Description

File AI is a full-stack, production-ready Software-as-a-Service (SaaS) platform designed for secure, scalable multi-tenant document management with AI-powered semantic search. Built using modern technologies including React, Node.js, PostgreSQL, and Docker, the platform enables organizations to securely store, manage, and retrieve documents with intelligent search capabilities powered by Retrieval-Augmented Generation (RAG). The system ensures strict tenant-level data isolation, role-based access control, and enterprise-grade security while maintaining high performance and scalability.

Digging Deeper

File Ai is built with a scalable, microservices-ready architecture that supports secure tenant isolation, AI-driven document retrieval, and enterprise-grade compliance standards. The modular design allows continuous feature expansion, AI model upgrades, and infrastructure scaling without compromising stability or security. The platform is designed to support regulated industries requiring strict data protection, audit logging, and controlled user access.