Domain Agnostics Analytics Platform
Manufacturing MSMEs often operate under resource constraints, fragmented systems, and heavy reliance on human expertise. Valuable knowledge whether it be sensor data, production logs, expert rules, or process flow information is usually dispersed and undocumented, making it difficult to holistically analyse problems. Specifically, MSMEs face challenges in quickly identifying and resolving issues such as non conformance, machine downtime, and supply disruptions. There is a clear need for a flexible, easy-to-use platform that integrates various forms of knowledge and data without requiring significant technical investment. Such a domain-agnostic platform would enable MSMEs to apply advanced problem-solving techniques while staying within their operational and budgetary limits.


Key Features of the Project
This platform is purpose-built to meet MSME needs, focusing on simplicity, scalability, and practical usability. Key features include:
Unified Data Integration Layer: Handles different types of data including manual records, inspection reports, machine logs, and expert knowledge without requiring specialized IT systems.
Pre-Configured Model Wrappers: Allows MSMEs to bring together rule-based logic, qualitative inputs, graph-based models, and simple mathematical models through standardized connectors.
Drag-and-Drop Interface: A no-code, user-friendly interface lets users visually design workflows, making it accessible even for non-technical staff.
Lightweight Ontology & Knowledge Graph Engine: Enables MSMEs to represent relationships between machines, operators, processes, and quality checks through simple knowledge graphs.
Customizable Workflow Engine: Supports setting up workflows for common MSME challenges such as quality nonconformance management, process optimization, and inventory planning without high technical complexity.