Eye-tracking communication aids and AAC software for people with speech and mobility disabilities
Tobii Dynavox manufactures and distributes hardware and software for augmentative and alternative communication (AAC), targeting individuals with cerebral palsy, ALS, autism, spinal cord injury, and aphasia. The tech stack reveals a mature medical-device operation: .NET/C# for Windows applications, Python/TensorFlow/PyTorch for language models, and Azure infrastructure for cloud operations. Active projects in language model improvement and API architecture suggest a shift toward platform-driven, networked solutions rather than standalone devices—a significant move for legacy hardware businesses.
Tobii Dynavox is a publicly traded Swedish medical-device company headquartered in Stockholm, with 501–1,000 employees. The company designs and manufactures custom communication aids—hardware devices with integrated software—alongside clinical language systems and training programs. Products span eye-controlled speech-generation devices for individuals with severe motor disabilities, to classroom tools for special education. Distribution and support operate across multiple regions (Sweden, United States, United Kingdom, Austria, Panama). The addressable market is substantial: globally approximately 50 million individuals require communication aids, yet only around 2% of those diagnosed receive solutions. Tobii Dynavox positions itself as a full-stack provider, combining proprietary eye-tracking hardware, custom software, evidence-based language models, and clinical support.
Core backend: .NET, C#, SQL, Java. ML/NLP: Python, TensorFlow, PyTorch, spaCy, NLTK, NumPy. Infrastructure: Azure (Functions, Event Grid, Service Bus, Logic Apps, DevOps). Mobile: iOS, Objective-C. Deployment: Git, Terraform, REST API, API Management.
Language model improvement, API and architecture enhancements, mobile and desktop application development, CI/CD pipeline automation, global website performance and roadmap, and master data governance—indicating a transition from device-centric to platform-centric operations.
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