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NEONVIL & ResearchTech
A Case Study: Building an AI-Powered Due Diligence Platform for Professional Investors
Business Outcome
The collaboration resulted in a fully functional MVP of the ResearchTech platform—a live, production-ready SaaS solution used by professional investors to accelerate due diligence and decision-making.
Rapid MVP Delivery
Delivered a working MVP from a proof-of-concept in record time.
Investor-Grade SaaS
A live, production-ready solution to accelerate due diligence and decision-making.
Continued Partnership
High client satisfaction led to continued cooperation for platform evolution and scaling.
By leveraging our AI-assisted development approach, we saved:
128
Development Hours
$4,000+
In Budget
Context & Challenges
ResearchTech is an AI-powered due diligence and investment analysis platform built for professional investors for whom time is the most valuable asset.
By orchestrating thousands of interactions with advanced AI models, ResearchTech transforms what would normally take weeks of manual research into a comprehensive, multi-page report delivered within hours.
The primary challenge:
Design and build a fully functional MVP that could handle complex AI orchestration, process pitch decks uploaded by users, and deliver detailed analytical reports through a clean, intuitive interface appealing to a VC audience.
Project Goals
Front-End
Deliver a complete SaaS application and public landing page for investors.
Back-End & Cloud
Build with Node.js and Firestore, hosted on Firebase/GCP for scalability.
UI/UX Design
Create a complete UI/UX design in Figma, aligned with premium investor aesthetics.
Our Solution
We delivered a full end-to-end SaaS application, evolving the concept from a proof-of-concept to a production-ready MVP. Our scope included UI/UX design, cloud architecture, backend and frontend development, and post-production client onboarding to ensure a frictionless go-live experience.
SaaS Application Features
- Onboarding flow with SSO & standard login
- Real-time project management and status tracking
- PDF and Markdown report exporting
- Credit system for report generation
Backend & Architecture
- Microservices on Firebase (Firestore, Storage, Auth)
- Integration with AI pipeline via headless API
- Secure service-to-service communication with webhooks
- Custom PDF export engine using Gotenberg
Effort Allocation
FrontEnd (22.2%)
BackEnd (22.2%)
Cloud (22.2%)
UI/UX Design (16.7%)
Onboarding (11.1%)
DevOps (5.6%)
SaaS Application Screens
Landing page
Sign-In & Onboarding
Project Workspace
Document Upload
Real-Time Processing
Report & Results
Infrastructure & Technologies
FRONTEND
▲React
Cloud-Native & Managed
Built the investor-facing SaaS web application and public landing page, focusing on a premium, frictionless user experience.
BACKEND
🟢Node.js
Complex AI Orchestration
Powered the microservices-based backend, handling complex AI orchestration and communication via a headless API and webhooks.
DATABASE
🔥Firestore
Scalability and Speed
Utilized as the primary NoSQL database for its scalability, speed, and seamless integration within the Firebase ecosystem.
INFRASTRUCTURE
☁️Firebase / GCP
Cloud-Native & Managed
The entire platform was hosted on Firebase, with infrastructure setup and ongoing maintenance managed on Google Cloud Platform.
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