FoundMatch is an elite, zero-trust platform designed to eliminate friction in venture capital. By combining state-of-the-art Graph Neural Networks (GNNs) for matchmaking, LangGraph Multi-Agent Swarms for autonomous financial negotiation, and Military-Grade E2E Encryption for data privacy, FoundMatch operates as a complete end-to-end Institutional Operating System.

Stop reading pitch decks. Our 384-dimensional pgvector Graph Neural Network (custom LightGCN architecture) maps investor theses directly to founder realities.

• Semantic Analysis: Sentence-BERT reads encrypted pitch decks to score contextual alignment, generating a 0-100% Global Match Index in milliseconds.
• Orbital UI: Visualizes deal flow in an interactive, 3D spatial interface.

When a deal enters the "War Room," human input is locked, and AI proxies take over.

• The Investor Agent: Conducts brutal financial due diligence and fights for optimal equity.
• The Founder Agent: Defends valuation and negotiates capital requirements dynamically.
• The Legal Drafter: Upon reaching a mathematical consensus, an M&A Counsel AI instantly mints a beautifully formatted, Markdown-based Official Term Sheet with Post-Money calculations.

Once the Term Sheet is sealed, the capital is unlocked directly to our DevSecOps swarm.

• Instant Engineering: The Architect and Developer agents instantly build the startup's minimal viable product (MVP). From Next.js frontends to Post-Quantum Rust blockchains (implementing Kyber, FrodoKEM, and NewHope).
• Automated Audits: A DevSecOps agent scans the generated codebase for hardcoded secrets and injection vulnerabilities, providing a PASS/FAIL deployment verdict before rendering the code in the browser IDE.

FoundMatch operates on a strict Default Deny / Zero-Knowledge posture.

flowchart TB
 %% ==========================================
 %% 🎨 CUSTOM THEME & STYLING (Dark Mode FinTech)
 %% ==========================================
 classDef user fill:#0f172a,stroke:#38bdf8,stroke-width:2px,color:#fff,rx:10px,ry:10px
 classDef frontend fill:#1e1b4b,stroke:#8b5cf6,stroke-width:2px,color:#fff,rx:8px,ry:8px
 classDef security fill:#4c0519,stroke:#f43f5e,stroke-width:2px,color:#fff,rx:8px,ry:8px
 classDef backend fill:#020617,stroke:#6366f1,stroke-width:2px,color:#fff,rx:8px,ry:8px
 classDef ml fill:#064e3b,stroke:#10b981,stroke-width:2px,color:#fff,rx:8px,ry:8px
 classDef db fill:#451a03,stroke:#f59e0b,stroke-width:2px,color:#fff,rx:8px,ry:8px
 classDef external fill:#171717,stroke:#a3a3a3,stroke-width:2px,color:#fff,stroke-dasharray: 5 5,rx:8px,ry:8px
 classDef gate fill:#000000,stroke:#eab308,stroke-width:3px,color:#fef08a,rx:12px,ry:12px
 %% ==========================================
 %% 🧑‍💼 ACTORS
 %% ==========================================
 U1((🧑‍💼 Founder)):::user
 U2((💼 Investor)):::user
 %% ==========================================
 %% 🌐 FRONTEND / CLIENT TIER (Zero-Knowledge)
 %% ==========================================
 subgraph Client_Tier ["🌐 ZERO-KNOWLEDGE CLIENT (Next.js / React)"]
 direction TB
 UI["🖥️ FoundMatch UI<br/>(Kanban Pipeline & Match Grid)"]:::frontend
 Crypto["🔐 WebCrypto Engine<br/>(RSA-OAEP & AES-GCM Key Gen)"]:::security
 Copilot["🤖 Executive Co-Pilot<br/>(Floating Document Analyzer)"]:::frontend
 Ghost["👻 Chat Ghostwriter<br/>(Contextual Reply Generator)"]:::frontend
 UI <--> Crypto
 UI <--> Copilot
 UI <--> Ghost
 end
 U1 <-->|Client-Side Encryption| UI
 U2 <-->|Client-Side Decryption| UI
 %% ==========================================
 %% 🛡️ REGULATORY GATEWAY
 %% ==========================================
 KYC{"🛡️ KYC / AML Sandbox Gate<br/>(Identity Verification)"}:::gate
 Client_Tier ==>|Authenticated JWT Requests| KYC
 %% ==========================================
 %% ⚙️ BACKEND TIER (FastAPI Microservice)
 %% ==========================================
 subgraph Backend_Tier ["⚙️ FASTAPI MICROSERVICE (Python)"]
 direction TB
 REST["🔄 Core REST API<br/>(Profiles, Projects, Filtering)"]:::backend
 WS["⚡ WebSocket Manager<br/>(Real-Time Deal Rooms)"]:::backend
 Vault["🏦 E2EE Vault Router<br/>(Blind Ciphertext & File Transit)"]:::security
 AgentRouter["🧠 AI Agent Router<br/>(Prompt Sanitization & Safety)"]:::backend
 end
 KYC ==>|Auth Pass| REST
 KYC ==>|Auth Pass| WS
 KYC ==>|Auth Pass| Vault
 KYC ==>|Auth Pass| AgentRouter
 %% ==========================================
 %% 🧬 ML ENGINE TIER (PyTorch Microservice)
 %% ==========================================
 subgraph ML_Tier ["🧬 RECOMMENDATION ENGINE (PyTorch)"]
 direction TB
 InferAPI["🎯 Inference API Gateway"]:::ml
 SBERT["📝 Sentence-BERT<br/>(Semantic NLP Pitch Parsing)"]:::ml
 LightGCN["🕸️ LightGCN<br/>(User-Item Graph Connectivity)"]:::ml
 Hyb["⚖️ Hybrid Scorer<br/>(+ Premium Priority Multipliers)"]:::ml
 InferAPI --> SBERT
 InferAPI --> LightGCN
 SBERT --> Hyb
 LightGCN --> Hyb
 end
 REST <==>|Predict Request / JSON Response| InferAPI
 %% ==========================================
 %% 🗄️ PERSISTENCE TIER (Supabase)
 %% ==========================================
 subgraph Data_Tier ["🗄️ PERSISTENCE LAYER (Supabase / PostgreSQL)"]
 direction TB
 RLS{"🔒 Row Level Security<br/>(Cryptographic Query Isolation)"}:::security
 DB[("🐘 Relational Database<br/>(Users, Projects, Interactions)")]:::db
 CipherDB[("🗃️ Ciphertext Storage<br/>(Unreadable Encrypted Blobs)")]:::db
 
 RLS --> DB
 RLS --> CipherDB
 end
 REST <==> RLS
 Vault ==>|Blind Write| RLS
 WS ==>|Asynchronous Save| RLS
 %% ==========================================
 %% 🌩️ EXTERNAL APIs
 %% ==========================================
 subgraph Ext_Tier ["🌩️ EXTERNAL CLOUD COMPUTE"]
 Llama["🦙 Groq API (Llama-3-70b)<br/>(Ultra-Low Latency Inference)"]:::external
 end
 AgentRouter <==>|Sanitized System Prompts| Llama
 Copilot -.->|Diligence Queries| AgentRouter
 Ghost -.->|Encrypted Context| AgentRouter

• Framework: React / Next.js (TypeScript).
• UI/UX: Premium Glassmorphism design system utilizing backdrop-blur, complex gradient meshes, Framer Motion transitions, and responsive Tailwind CSS grids.
• Phase-Shift Routing: Seamless transitions from casual secure messaging (The Lobby) to full-screen autonomous negotiation terminals (The War Room).

• Asynchronous Concurrency: Built on Starlette/Uvicorn for non-blocking WebSocket E2EE chat relays.
• Dual-Engine AI Fallback: Primary inference routed through Groq (Llama-3-70b) for ultra-low latency, with an automatic failsafe cascade to Google Gemini (1.5-Flash) to prevent rate-limit crashes.
• Database: SQLAlchemy ORM interfacing with Supabase/PostgreSQL.

Launch the entire FoundMatch ecosystem with a single command.

• Node.js (>= 18.x) & pnpm
• Python 3.10+
• Docker & Docker Compose
• PostgreSQL Database (Local or Supabase)

Create a .env file in both the frontend and backend directories.

# Backend (.env)
DATABASE_URL=postgresql://user:password@localhost/foundmatch
SECRET_KEY=your_highly_secure_jwt_secret
GROQ_API_KEY=gsk_your_groq_key
GEMINI_API_KEY=AIzaSy_your_gemini_key
# Frontend (.env.local)
NEXT_PUBLIC_API_URL=http://localhost:8000

FoundMatch is an elite, AI-driven networking and deal-flow platform designed to connect high-growth startup founders with institutional investors, venture capitalists, and private equity firms.

• PyTorch Graph Neural Network (GNN): Utilizes a custom LightGCN architecture to calculate hyper-accurate "Global Match Indexes" between founders and investors based on domain, stage, and historical interaction data.
• Zero-Knowledge End-to-End Encryption (E2EE): All Deal Room communications and file transfers (Pitch Decks, Cap Tables) are secured client-side using a Hybrid AES-GCM + RSA-OAEP cryptographic vault. The backend server cannot read message contents or decrypt files.
• Dual AI Engines (Groq/Llama-3): * Executive Co-Pilot: A globally available, context-aware AI widget that analyzes uploaded documents and provides strategic platform guidance.
  • Chat Ghostwriter: An in-chat M&A advisor that reads recent encrypted context and suggests highly professional, tactical responses to drive deal flow.
• Regulatory KYC "Soft Gate": A built-in identity verification sandbox that blocks unverified participants from initiating secure Deal Rooms, simulating institutional AML compliance.
• Interactive Deal Flow Pipeline: A drag-and-drop Kanban board for investors to seamlessly manage their pipeline from "Sourced" to "Closed".

• /Frontend: Next.js 14, React, TailwindCSS, Framer Motion, WebCrypto API.
• /Web-Dev 2.0 (Backend): FastAPI, PostgreSQL, SQLAlchemy, WebSockets.
• /ml_engine: PyTorch, PyTorch Geometric, Scikit-learn.

Found_Match/
├── frontend/ # Next.js 14 Client (Glassmorphism UI, WebCrypto API, CodeOps IDE)
├── backend/ # FastAPI Server (LangGraph Orchestrator, Sentry, WebSockets)
├── ml_engine/ # PyTorch Pipelines (LightGCN, NLP Semantic Matching)
├── data/ # Processed Datasets & Model Weights (.pth)
├── quantum_vault/ # Post-Quantum Rust Blockchain Architectures (CodeOps Generated)
└── docker-compose.yml # Full-stack Container Orchestration

Launch the entire ecosystem with a single command:

# Clone the repository
git clone [https://github.com/Arjo216/Found-Match-1.0.git](https://github.com/Arjo216/Found-Match-1.0.git)
cd Found-Match-1.0
# Launch via Docker Compose (Recommended)
docker-compose up --build

• Frontend UI: http://localhost:3000
• FastAPI Swagger Docs: http://localhost:8000/docs

This focuses on your stunning glassmorphism UI, client-side encryption logic, and responsive design.

Updated frontend README to highlight the complex WebCrypto logic and stunning Glassmorphism UI components.

• Institutional Glassmorphism UI: A premium, dark-mode design system utilizing backdrop-blur, complex gradient meshes, and responsive CSS grids.
• Zero-Knowledge Client (E2EE): Integrates the native browser Web Crypto API. Generates and stores RSA public/private key pairs locally to encrypt chat streams and binary file buffers before they ever touch the network.
• Real-Time Deal Rooms: Seamless WebSocket integration for instant, encrypted founder-investor communications.
• Interactive Kanban CRM: Native HTML5 Drag-and-Drop deal flow management (Sourced ➡️ Term Sheet ➡️ Closed).
• Executive AI Co-Pilot: A stunning, centralized modal interface for interacting with the platform's AI, complete with context-aware smart suggestions and file staging.

A high-performance, institutional-grade user interface built with React, Next.js, and TailwindCSS. It acts as a "Zero-Knowledge Client," handling all data decryption and AI formatting locally.

• Key Generation: Generates RSA-OAEP public/private key pairs locally in the browser upon registration.
• Message Encryption: Uses the recipient's Public Key to encrypt message text before it ever touches the network.
• File Encryption: Converts PDFs and documents into ArrayBuffers, encrypts them with a dynamic AES-GCM key, and encrypts that key with the recipient's RSA Public Key (Hybrid Encryption).
• Fallback Safety: Built-in try...catch protocols to gracefully display "Legacy Unencrypted Messages" without crashing the React application.

• KYCModal.tsx: A Glassmorphism soft-gate that intercepts users before they enter a Deal Room, forcing simulated identity verification.
• AICoPilot.tsx: A persistent, floating AI widget with document-upload capabilities, utilizing <AnimatePresence> for smooth, state-driven transitions.
• ChatWindow.tsx: A secure messaging interface featuring dynamic AI suggestions (The Ghostwriter), file-attachment indicators, and offline PDF dossier exporting.
• network.tsx: An interactive, drag-and-drop Kanban board for visual Deal Flow management, integrated directly with the Deal Room chat.

npm run dev
# Note: Ensure the FastAPI backend is running on port 8000, 
# and the Groq API key is valid on the server-side.

• Framework: Next.js 14 (React)
• Language: TypeScript for strict type safety.
• Styling: Tailwind CSS for utility-first styling.
• Animations: Framer Motion for fluid layout transitions and modal orchestration.
• Data Visualization: Recharts for dynamic metric rendering.
• Icons: Lucide React

Ensure you have Node.js (>= 18.x) and pnpm installed.

npm install -g pnpm

# Navigate to the frontend directory
cd frontend
# Install dependencies
pnpm install
# Start the development server
pnpm run dev

Navigate to http://localhost:3000 to view the application.

If you make significant UI architectural changes, clear the Next.js cache to force a Tailwind recompilation:

rm -rf .next
pnpm run dev

This focuses on your high-performance Python code, Sentry security, AI routing, and the database fortress.

• Asynchronous FastAPI: Built on Starlette and Uvicorn for non-blocking, high-throughput execution (WebSockets & REST).
• The Sentry Perimeter: A custom ASGI middleware layer that autonomously detects and throttles volumetric attacks, unauthorized scrapers, and malformed payload injections.
• Database Fortress (Row-Level Security): Integrates with Supabase/PostgreSQL using strict RLS policies. The public API is entirely blacked out; all data is accessed securely via backend SQLAlchemy admin connections.
• Zero-Knowledge Vault Router: The backend cannot read user messages or files. It acts as a blind courier, routing AES/RSA encrypted binary blobs (VAULT_META) between authorized UUIDs.

• Live Analytics Engine: Dynamically calculates Global Match Indexes, active deal flows, and profile trajectory metrics via complex SQL joins.
• Ephemeral Document AI: Utilizes PyPDF2 to read uploaded Pitch Decks entirely in system RAM, feeds the text to an LLM context window for strategic analysis, and instantly purges the file to maintain institutional privacy.
• Hybrid AI Scoring: Hosts the endpoints that trigger the backend ml_engine (LightGCN and Sentence-BERT) for matchmaking.

This is the central nervous system of FoundMatch, built for high concurrency, real-time WebSocket communication, and heavy Machine Learning inference.

• AI Agent Router (/routers/agent.py): * Integrates the Groq API (Llama-3-70b) for ultra-low latency AI inference.
  • Powers the generate-question, chat-assist, and analyze-document endpoints.
  • Features aggressive server-side JSON cleaning and DB rollback protection against AI hallucinations.
• KYC Sandbox Router (/routers/kyc.py):
  • Simulates third-party identity verification (e.g., Setu/Digilocker).
  • Accepts "Magic Numbers" (e.g., ABCDE1234F) to auto-verify accounts in development.
  • Masks sensitive data (e.g., XXXXX1234X) before writing to PostgreSQL.
• Institutional Vault (/routers/vault.py):
  • Handles the secure transit of encrypted .bin files.
  • The backend stores the files but does not possess the cryptographic keys to read them.
• Real-Time Deal Rooms (/routers/chat.py):
  • Manages active WebSocket connections for instant messaging.
  • Stores ciphertext and initialization vectors in the DB for asynchronous retrieval.

Make sure your .env includes:

# Backend (.env)
DATABASE_URL=postgresql://user:password@localhost/foundmatch
SECRET_KEY=your_highly_secure_jwt_secret
GROQ_API_KEY=gsk_your_groq_key
GEMINI_API_KEY=AIzaSy_your_gemini_key
# Frontend (.env.local)
NEXT_PUBLIC_API_URL=http://localhost:8000
ENV=development

• Language: Python 3.10+
• Framework: FastAPI
• ORM: SQLAlchemy
• Database: PostgreSQL
• Document Processing: PyPDF2
• Authentication: JWT (Stateless) + Bcrypt

• Python 3.10+ installed
• Access to a PostgreSQL instance (e.g., Supabase)

# Navigate to the backend folder
cd backend
# Create the virtual environment
python -m venv venv
# Activate (Windows)
venv\Scripts\activate
# Activate (Mac/Linux)
source venv/bin/activate

# Install required Python packages
pip install -r requirements.txt
# Start the Uvicorn ASGI server
uvicorn main:app --reload --port 8000

Visit http://localhost:8000/docs to view the interactive Swagger API documentation.

FoundMatch Institutional Capital Allocation OS Copyright © 2026. All Rights Reserved.

Disclaimer: FoundMatch utilizes generative AI and experimental cryptographic protocols. Do not use for the deployment of real-world capital without comprehensive legal and human financial due diligence.