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Development of AI-Enhanced B2B Financial Intermediation Platform for Infrastructure Investment

dataforest.ai

Financial services

Energy & natural resources

Information technology

Current Challenges in Investment Deal Origination

Lack of secure digital platform to connect investment firms with proprietary infrastructure opportunities, absence of AI-driven predictive analytics for deal evaluation, and inefficient document exchange processes between advisors and investors.

About the Client

Private equity investment intermediary specializing in infrastructure-related sectors

Strategic Development Goals

Create secure B2B platform for investment deal origination
Implement AI functionality for predictive insights and 98% model accuracy
Enable real-time updates and demand forecasting with 88% accuracy
Develop secure document exchange and communication channels

Core System Capabilities

Multi-role user registration (Advisors/Investors/Admins)
Customizable investment opportunity dashboards
Secure document exchange system
Internal encrypted chat functionality
AI-driven predictive analytics for deal evaluation
Automated transaction management workflows

Technology Stack Requirements

Django REST Framework (DRF)

ReactJS

PostgreSQL

AWS RDS

AWS Cloud Services

System Integration Needs

AWS security services for data protection
Real-time notification systems
AI/ML model integration framework

Operational Requirements

SOC 2 compliance for financial data security
High-load capacity for concurrent transactions
99.9% system uptime SLA
Scalable cloud architecture on AWS
Multi-layered data encryption (at rest/in transit)

Expected Business Outcomes

Enables 0.9% reduction in investment opportunity leakage through predictive analytics, accelerates deal origination through AI-enhanced decision-making, and establishes secure collaboration channels reducing transaction closure time by 30%. Platform scalability ensures support for 1000+ concurrent institutional users with enterprise-grade security.