NinjaLABO

NinjaLABO specialises in making large AI models smaller and more efficient, so they can run smoothly on a variety of devices, from smartphones to medical equipment. Typically, deep neural network (DNN) models become very large after they are trained with vast amounts of data, which makes them too complex to run on ordinary devices. These models usually need powerful GPUs located in cloud data centers, far away from where they are being used. This setup can be expensive, and it also introduces delays, which isn't ideal for many applications that need fast responses.

This is especially a problem in areas like healthcare, where patient data must stay within local systems for privacy reasons, and quick responses are essential for medical decisions. NinjaLABO's AI model compression solves these problems by shrinking the size of these models without losing their effectiveness. This means AI can be processed directly on devices—such as medical equipment with hyperspectral cameras—without needing to rely heavily on cloud-based GPUs or an internet connection. This opens up many new possibilities for real-time, on-device AI applications in fields that require privacy and fast decision-making.

Type

Small and Medium sized Enterprise

Country

Finland

Website

http://ninjalabo.ai