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Three core capabilities anchor every TechnoLynx engagement: computer vision, generative and agentic AI, and GPU performance engineering. Pick the one closest to your problem — most projects span two of the three.
Transform your processes with advanced visual recognition and analysis. Our Computer Vision services are crafted to enhance efficiency, ensure compliance, and provide actionable insights across industries such as healthcare, manufacturing, and retail.
Reimagine creativity and automation with generative and agentic AI. From text generation to image synthesis to autonomous agent workflows, our solutions are built on years of expertise in large language models (LLMs), neural networks, and scalable systems.
Gain the full potential of your hardware with our GPU Performance Engineering solutions. We specialise in optimising compute-intensive workloads to deliver speed, scalability, and efficiency for AI, graphics, and scientific applications.
15/05/2025
See how TechnoLynx helped CloudRF speed up signal propagation and tower placement simulations with GPU acceleration, custom algorithms, and…
10/12/2024
Hierarchical SKU classification using DINO embeddings and few-shot learning — above 95% accuracy at ~1k classes, above 83% at ~2k.
20/11/2024
Browser-deployed face quality classifier rebuilt around a single multiclassifier, WebGL pixel capture, and explicit device-capability gating.
20/09/2024
Per-shelf share-of-shelf measurement in area and count modes, with unknown-product handling treated as a first-class operational output.
15/07/2024
In-cart perception for autonomous retail checkout: detection, tracking, adaptive FPS sampling, and a session-scoped cart-state model.
12/03/2024
See how our team applied a case study approach to build a real-time Kazakh text-to-speech solution using ONNX, deep learning, and different optimisation…
15/12/2023
Case study on moving a GPU application from OpenCL to Metal for our client V-Nova.
15/10/2023
Camera-based barcode pipeline for in-cart capture: YOLO localisation, ensemble decoding, multi-frame polling — 86.7% vs Dynamsoft 80%.
6/06/2023
Case study on using Generative AI for stock market prediction. Combines sentiment analysis, natural language processing, and large language models to…
15/05/2023
How TechnoLynx modelled AI inference performance across GPU architectures — delivering two tools (topology-level performance predictor and OpenCL GPU…
10/02/2023
How TechnoLynx built a cost-efficient multi-target multi-camera tracking system for a smart retail deployment
11/01/2023
How TechnoLynx built a hybrid action recognition system for a smart retail environment
