Technologies

Quendix is built on a robust, scalable tech stack designed to deliver precision forecasting, seamless integration, and intelligent automation.

Core Development Stack

• Microsoft SQL Server (2022) – High-performance relational database engine supporting complex financial models and secure data storage.
• Microsoft .NET Framework – Comprehensive development platform enabling modular, scalable application architecture.
• C# – Multi-paradigm programming language used for backend logic, data processing, and API orchestration.
• ASP.NET Web API – Extensible framework for building secure, HTTP-based services and endpoints.

Data Interchange & Front-End

• JSON – Lightweight, human-readable format for transmitting structured data across services and modules.
• Angular – Modern front-end framework for building responsive, cross-platform web applications.

Data Storage & Background Processing

• MongoDB – NoSQL document-oriented database for flexible, schema-less data storage and rapid retrieval.
• Hangfire – Background job processing engine for scheduling and executing asynchronous tasks in .NET environments.

Predictive Intelligence

• Rapier AI Engine – Proprietary machine learning module that analyzes up to 18 months of historical accounting data to generate accurate 12-month demand forecasts. Continuously refreshed with each reforecast cycle.
• ProPilot – Our large language model integrated with Rapier

Cloud Infrastructure & AI Microsoft Azure –
Cloud backbone for ProForecast’s SaaS deployment. Enables:

• Global accessibility
• Scalable compute resources
• Machine learning pipelines for Rapier
• Secure data visualization and dashboarding

Copilot AI – Currently in development to power:

• Enhanced predictive analytics
• Risk modelling
• Custom “What If” scenario generation
• Interactive insights and user training automation

Business Intelligence & Reporting
Power BI – Embedded BI layer for:

• Real-time interactive dashboards
• Seamless data integration from multiple sources
• Collaborative reporting across teams
• Over 300 KPIs, including 120+ prebuilt metrics
• Custom formulas and branded report packs