Case Studies
Learn how Techling have used the tools and technology to create amazing app experiences for their users.
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
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
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
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
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
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
Awards & Recognition
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