In addition to our scalable Agentyk LM family, we specialize in developing a range of compact, high-performance AI models designed explicitly for edge computing. These models are engineered to operate efficiently directly on devices like mobile phones, IoT hardware, and laptops, ensuring low latency, sustainability, offline functionality, and enhanced data privacy by keeping user information on-device.

Rather than aiming for broad, general knowledge, each model is meticulously trained to excel at a specific job, resulting in superior accuracy and resource efficiency. This focused approach enables us to deliver powerful, specialized solutions for unique challenges. For example, we develop lightweight language models that achieve fluency in specific European languages, enabling powerful NLP tools for underserved communities.

In other domains, we create models for targeted educational tasks, like providing real-time feedback on reading or musical performances or generating interactive questions for a specific history curriculum. We also build computer vision models for IoT devices that, for example, can identify manufacturing defects without needing to send images to the cloud. This strategy allows us to provide lean, precise, and cost-effective AI solutions that solve real-world problems right where the data is generate.