ClientPublic2025

RIBIF - Industrial Investment Platform

Industrial investment requires complex analysis across documentation, sourcing, and layout. RIBIF was designed to automate this intelligence by chaining 9 specialized modules.

RIBIF - Industrial Investment Platform

About This Project

Chaining 9 distinct modules—from technical documentation extraction to 3D layout rendering—into one coherent industrial decision workflow.

Built a robust Next.js/Flask pipeline integrating GenAI for extraction, automated supplier sourcing, TCO modeling, and R3F for factory digital twins.

Created a unified workspace that supports industrial companies from pre-engineering to final investment decisions with data-backed simulations.

Role

Full-stack Developer

Year

2025

Status

Public

Type

Client

Technology Stack

Next.jsFlaskPythonTypeScriptTailwind CSSSupabaseThree.jsOpenAI

Project Story

The Challenge

Chaining 9 distinct modules—from technical documentation extraction to 3D layout rendering—into one coherent industrial decision workflow.

The Approach

Built a robust Next.js/Flask pipeline integrating GenAI for extraction, automated supplier sourcing, TCO modeling, and R3F for factory digital twins.

The Outcome

Created a unified workspace that supports industrial companies from pre-engineering to final investment decisions with data-backed simulations.

Insights & Takeaways

Highlights

  • Integrates technical extraction, procurement intelligence, and financial simulation.
  • Features 2D/3D layout generation and automated business plan/pitch deck preparation.

Challenges

  • Chaining multiple backend services (Python/Flask) with a real-time Next.js frontend.
  • Ensuring technical accuracy in machine specification extraction (Module 1).
  • Visualizing complex spatial data using Three.js and HD video rendering.

Lessons Learned

  • Chaining procurement and financial decisions before visual generation allows for a more stable and accurate investment package.