
Doublepoint
Doublepoint develops intuitive, touch-based interfaces for next-generation computing platforms like AR/VR, IoT, and smartwatches.
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Doublepoint is a technology company focused on developing touch-based interaction solutions for next-generation platforms like AR/VR, IoT, and smartwatches. They believe that touch is a critical element for intuitive interactions in these emerging spaces and are developing technologies that allow users to interact with virtual worlds and real-world objects using natural, intuitive touch gestures. Their flagship product, the Doublepoint Kit, is a complete developer solution offering algorithms for gesture detection, advanced ray-casting, model reports, evaluation tools, and SDKs for Unity, Python, and Java.
Doublepoint is a team of passionate individuals with expertise in machine learning, interaction design, hardware development, and software engineering. Their mission is to create a future where touch is a key human sense that binds us to reality, bridging the gap between the virtual and the real. The company is headquartered in Helsinki, Finland and has offices in Stockholm, Amsterdam, Berlin, and London.
Mission
Doublepoint is a technology company focused on revolutionizing human-computer interaction by integrating touch-based micro-gestures into next-generation platforms like AR/VR, IoT, and smartwatches. They believe that touch, being the most natural and intuitive form of interaction, is essential for creating seamless and engaging user experiences in these emerging technologies.
Culture
Doublepoint fosters a collaborative and innovative culture where individuals are encouraged to contribute their unique skills and perspectives to create intuitive and groundbreaking touch-based interactions. The company values a strong sense of teamwork, evident in their open communication and cross-functional collaboration across departments. Their passion for developing solutions that enhance the user experience is palpable, reflected in their diverse team of experts in fields ranging from machine learning and engineering to design and user research.
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