AI Chatbot Builder Platform
Built a multi-tenant AI chatbot builder platform from Scale MVP to a full live SaaS product, enabling businesses to configure, train, and deploy custom AI assistants with RAG-powered responses and no-code setup.
The Challenge
The client needed a production-grade, multi-tenant SaaS platform where businesses could create and deploy AI-powered chatbots trained on their own data, without writing code. The core technical challenges were building a robust RAG pipeline capable of ingesting diverse document formats, designing a secure multi-tenant architecture where each tenant's data remained fully isolated, and delivering a no-code configuration UI that non-technical users could operate confidently. The product also needed a white-label capability so customers could embed their chatbot across their own web properties under a custom domain.
The Solution
Augmex delivered the platform across a two-month Scale MVP engagement. The backend was built on a FastAPI and PostgreSQL foundation with strict tenant isolation at the data layer. A RAG pipeline was implemented using LangChain and a vector database, enabling each chatbot to answer queries from the tenant's uploaded documents with source attribution. The no-code UI allowed tenants to upload knowledge base content, configure bot behavior, set escalation rules, and customize branding without technical support. An embeddable widget was built for deployment on any website via a single script tag. After launch, the platform grew into a commercial SaaS product with customers across multiple sectors.
How the Project Was Delivered
2 Backend / AI Engineers, 1 Frontend Developer, 1 Project Manager. Scale MVP delivered in 8 weeks, full product launch in Apr 2026. Feb to Apr 2026.
Technology: Python, FastAPI, LangChain, PostgreSQL, React, OpenAI API, AWS
The Results
- 8 Weeks Build Duration: Scale MVP delivered from kick-off to production in 8 weeks
- High RAG Accuracy: Chatbot responses grounded in client documents with source attribution
- Full Tenant Isolation: Strict multi-tenant data separation with zero cross-tenant exposure
- Full SaaS Product Outcome: Scale MVP evolved into a commercial product with live paying customers
What the Client Said
Augmex understood the architecture challenges of multi-tenancy from day one and delivered something we could immediately take to market. The RAG pipeline performs beyond our expectations and the no-code UI has been a genuine differentiator with our customers.