Crystalwink Ltd. delivers precision-engineered middleware, machine learning, and edge networking solutions — built on deep technical expertise and a passion for open-source innovation.
From intelligent perception systems to resilient edge networks — Crystalwink brings senior-level expertise across the full stack of modern software development.
Design and deployment of CV pipelines for real-time object detection, classification, and scene understanding. From model selection to production inference.
Custom NLP solutions including text classification, entity recognition, summarisation, and conversational AI — leveraging the latest transformer architectures.
High-performance middleware bridging hardware, services, and applications. Specialising in asynchronous messaging, protocol translation, and integration layers.
Wired and wireless (WiFi) network configuration, monitoring, and verification tooling for edge devices — from embedded controllers to enterprise access points.
Rigorous test frameworks, automated verification pipelines, and compliance validation — ensuring your systems meet specification from unit to system level.
Accelerated delivery of complex products by intelligently tapping into the open-source ecosystem — selecting, integrating, and extending the right packages for your challenge.
A sample of recent assignments — each one presenting its own unique engineering challenges and demanding precision from design through to delivery.
A bike fitting service using computer vision to analyse a rider's position and deliver professional-grade fit recommendations without an in-person session.
Visit aeropose.com →End-to-end CV system for automated defect detection in an industrial environment, delivering sub-50ms inference at the edge using optimised neural network models.
Automated test and verification tooling for enterprise WiFi deployments — covering channel configuration, throughput validation, and compliance checks across mixed hardware fleets.
NLP-powered middleware for automated extraction, classification, and routing of unstructured documents — integrating transformer models with legacy enterprise systems via a clean Python API layer.
Core languages, frameworks, and tools Crystalwink deploys across client engagements — always selected to best fit the problem, not the trend.
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