Technology for Frictionless Interaction

Virtask has spent over a decade developing cutting-edge technology that combines multiple advanced systems to create Anne, our flagship avatar platform designed specifically for elderly and dementia care. Our technology stack represents a sophisticated integration of speech recognition, natural language processing, 3D rendering, and artificial intelligence, all working seamlessly together to provide intuitive, frictionless interaction.

At the heart of our system is an accurate and fast ASR (Automatic Speech Recognition) engine that operates entirely offline, ensuring privacy-preserving local processing. This capability supports 15 different languages, allowing Anne to communicate naturally with users across European markets. The offline nature of our speech recognition is crucial for healthcare environments where data privacy and GDPR compliance are paramount concerns.

Our speech synthesis system is equally sophisticated, offering compatibility with all major voice publishers and supporting 30 languages in both male and female voices. This ensures that users can interact with an avatar that speaks in a natural, familiar way, creating a more comfortable and engaging experience. The combination of accurate speech recognition and natural-sounding synthesis creates truly bidirectional conversation capabilities.

The visual component is powered by our proprietary 3D rendering engine, which creates expressive characters with perfectly synchronized lip-sync and emotional expressions. This real-time avatar animation responds naturally to conversation, making interactions feel personal and human. The engine is optimized to run smoothly on tablet devices, ensuring 90% portability across Android, Linux, and Windows platforms.

Beyond immediate interaction, our deep learning systems continuously analyze speech patterns, touch interactions, timing, and syntax to identify wellness trends and behavioral changes. This AI-driven approach creates markers that can help detect cognitive decline and mood changes early, providing valuable insights to caregivers and healthcare providers. By combining all interaction data, we create a comprehensive picture of user wellbeing that goes far beyond simple conversation logging.