AI Web Application

Infer@

2025

Intelligent Document Management System for KMRL

Overview

Infer@ is an AI-powered document management platform built for Kochi Metro Rail Limited (KMRL), designed to eliminate document overload across metro operations. It automates multi-channel document ingestion, OCR digitization, AI summarization, regulatory compliance tracking, and role-based smart routing — enabling faster, smarter decisions across all departments.

Python NLP / OCR AI Summarization SharePoint Maximo Multilingual NLP Role-Based Access Real-Time Analytics

Key Features

Document Ingestion Hub: Multi-channel processing for emails, SharePoint, Maximo exports, and WhatsApp PDFs with real-time OCR — handling 1,200+ documents daily across Engineering, Safety, Financial, and Legal categories.
AI Summarization Engine: Context-aware summaries with key action items, critical deadlines, and stakeholder impacts generated in an average of 0.8 seconds, with 98.7% OCR accuracy.
Compliance & Alert System: Automated regulatory compliance tracking that flags deadlines, compliance clauses, and ministry directives with traceable audit trails. Maintains a 96.2% compliance score.
Smart Routing Hub: Personalized, role-based dashboards for 8 active roles and 247 users, with semantic search across 12,000+ documents and 1.4s average search time.
Multilingual Support: Full support for English and Malayalam documents including bilingual hybrids, powered by OCR + NLP for cross-department clarity.

Platform Statistics

12k+

Documents

98.7%

OCR Accuracy

96.2%

Compliance Score

0.8s

Avg Summary Time

1,200+

Daily Volume

99.1%

Uptime

247

Active Users

24/7

Processing

Future Goals

Expanded Integrations: Connect with additional enterprise systems including SAP, Oracle, and field IoT sensors for end-to-end document lifecycle management.
Predictive Analytics: Introduce ML models to predict compliance risks, document bottlenecks, and workload surges before they occur.
Mobile Application: Develop a native mobile app for on-the-go document access, approvals, and priority alerts for field engineers and station managers.
Voice Search: Add voice-based semantic search in English and Malayalam for hands-free document retrieval in operational environments.
Cross-Metro Deployment: Scale the platform to other metro rail systems across India, establishing Infer@ as the benchmark for intelligent document automation in public transport.

Our Mission

Our mission is to eliminate document overload at KMRL by providing an automated, intelligent system that ensures every stakeholder can access information instantly, make faster and smarter decisions, and reduce repetitive manual work. Infer@ is not just software — it's a productivity multiplier that allows KMRL to focus on its core mission of delivering safe, reliable, and passenger-centric metro services.

Our Vision

Our vision is to become the benchmark in intelligent document automation across metro rail systems in India and beyond. We envision a future where document handling is seamless and automated, regulatory compliance happens automatically, institutional knowledge is preserved forever, and metro systems are digitally empowered for real-time decision-making.

Why Trust Infer@?

Domain Expertise: Built specifically for metro rail and transport enterprises with deep understanding of engineering drawings, safety circulars, and regulatory documents.
Proven Accuracy: 85%+ accuracy in classification and summarization, tested on real KMRL archives with consistent, reliable performance.
Multilingual Support: Supports English, Malayalam, and bilingual hybrids with OCR + NLP, providing cross-department clarity.
Regulatory Compliance: Flags deadlines, compliance clauses, and directives automatically with traceable audit trails.
Enterprise Security: End-to-end encryption, role-based access, and digital signatures ensure mission-critical data protection.
Scalable Architecture: Processes 1,000+ documents daily in real-time with a modular, extensible design built for future growth.