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Case Studies

Learn how Techling have used the tools and technology to create amazing app experiences for their users.

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RAG-Powered Conversational AI Platform for Enterprise Support and Operations

The LLM Chatbot with RAG is an enterprise-grade, 24/7 AI assistant designed to automate customer support and internal workflows. It uses Retrieval-Augmented Generation (RAG) to retrieve relevant passages from enterprise documents—PDFs, DOCX, HTML, and internal knowledge bases and uses large language models (LLMs) to generate accurate, grounded responses. The chatbot...

AI-Powered Self-Service Assistant

Retrieval-Augmented Generation (RAG)

Core Tech: Custom-deployed LLMs, OpenAI GPT, Claude
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Intelligent Logistics Operations Platform for Cargo Counting, Quality Assurance & Safety

Techling implements an AI-driven warehouse and yard monitoring system for logistics operations, providing accurate cargo counts, automated quality checks, and continuous safety assurance. Edge cameras and GPU inference detect parcels, packaging issues, and unsafe behaviors, while dashboards and analytics track performance. Data is stored on-site and optionally in cloud lakehouses,...

Automated Cargo Counting

Quality Assurance with AI Inspection

Core Tech: NVIDIA GPUs, Python, PyTorch, TensorFlow
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Automated Urban Traffic Safety & Evidence Management System

The project provides an AI-based traffic infraction detection that automates the process of detection of helmet violations, seatbelt abuse, smoke emission, or red-light jumping. It correlates violations and lane and signal context, identifies vehicles and plates, bundles evidence automatically, and facilitates a human-in-loop review process, and then sends validated cases...

Automated AI Detection for Key Violations

Evidence-Ready Case Package Generation

Core Tech: CNNs/Transformers, Object Detection + Classification Pipelines
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AI-Powered Cross-Camera Search Platform for Masked Faces, Missing Plates & Visual Clues

Techling builds an appearance-based search system that helps investigators track people and vehicles even when faces are covered or plates are missing. It extracts visual details like clothing, accessories, body shape, vehicle type, color, and unique marks, then turns them into searchable vectors. Users can search by image or by...

Loss of Reliable Identity Cues

Inconsistent Visual Appearance Across Cameras

Core Tech: GPU-powered Python services, PyTorch / TensorRT
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Smart City Facial Recognition Infrastructure for Real-Time Alerts & Evidence Retrieval

The project supports city law enforcement and investigative authorities in monitoring urban areas through a network of CCTV cameras. Traditional manual review is slow and error-prone, making it difficult to identify known suspects or track persons of interest. Techling’s system provides a secure, privacy- aware platform that can alert authorities...

Manual CCTV Review Is Time-Consuming

High Risk of Human Error

Core Tech: GPU nodes, Python, face detection & embedding models
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AI-Powered Traffic Surveillance and Number Plate Detection for Smart Cities

The project supports a city-level law enforcement and transport authority that manages hundreds of road cameras across intersections, highways, and sensitive areas. The team needed a system that could notice important vehicles in real time without someone watching every camera nonstop. Heavy traffic, different plate styles, and unclear camera views...

Traffic Volume Is Too High for Manual Monitoring

Number Plates Vary in Style and Condition

Core Tech: RTSP / HTTP Streams, GStreamer, FFmpeg, Kafka, RabbitMQ
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Awards & Recognition

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