Proprietary Enterprise Automation (EU & Global)
Autonomous Telegram Group Intent Monitor & Instant Lead Dispatcher
High-concurrency monitoring script tracking unlimited Telegram groups in real time, classifying user intent with AI, and dispatching hot enquiries to marketing teams in milliseconds.
Measurable Business & Technical Outcomes
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The Engineering Challenge
High-intent commercial discussions and requests for proposals occur continuously across dozens of Telegram communities. Manual tracking was impossible, resulting in lost deals and hours of delayed response times.
Our Architecture & Solution
Built an asynchronous multi-session monitoring daemon integrated with an LLM intent classification engine that analyzes messages for purchase/hiring intent and pushes structured alerts to marketing dashboards with 1-click reply workflows.
Delivered Scope & Implementation
High-Throughput Telegram Group Monitoring Daemon
Real-Time LLM / NLP Commercial Intent Classifier
Sub-Second Webhook & Program Interface Integration
Blazing-Fast Alert Dispatch to Marketing Desk
Multi-Tenant Filter & Community Routing Engine
Technology & Infrastructure Stack
Connected Services & Implementation Guides
Explore the specialized engineering capability and research guide connected to this project.
Enterprise AI Agents & RAG Knowledge Base Pipelines
Production-grade AI agent systems and Retrieval-Augmented Generation (RAG) knowledge bases grounded strictly in your proprietary enterprise data.
Explore Service CapabilityEnterprise RAG Architecture: From Retrieval to Governed AI Agents
A production enterprise RAG architecture connects authenticated identity, authorized retrieval, evaluated answers, bounded actions, and observable failure behavior, not only a model and vector database.
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