Embedded Tech, Physical AI, Edge AI, and IoT Development

Trying to connect devices within an IoT system, remotely control equipment, or gather and process sensor data? Our state-of-the-art embedded systems combine hardware with powerful software, connectivity, and proximity technologies.

Physical AI describes systems that perceive and act in the physical world in real time. On-device inference is what makes it viable in production: running the model where the data lives cuts latency, removes the cloud round-trip, and keeps systems operational when connectivity fails. But getting to a deployable model is its own machine learning discipline: Softeq handles model selection, training, and the data pipelines that feed them, choosing architectures suited to the target hardware from the start. From there, we optimize those machine learning models for on-device deployment on constrained hardware, balancing accuracy against power and thermal budgets.

Looking to create a new product or enhance your existing one? Our team has the expertise to ensure your finished product is delivered on time, on budget, and production-ready. Physical AI systems use data to perceive, decide, and act. Softeq builds the full stack: device firmware, edge-to-cloud architecture, fleet management, and the AI layer that turns sensor readings into real-world action.

Industrial Physical AI requires real-time control systems, sensor fusion across multiple inputs, and AI-driven robotics that handle variability in physical conditions. Softeq delivers from PLC integration through autonomous mobile robots (AMR) and smart robotics for manufacturing.

Want to make your device stand out from the competition or create new products from the ground up? Get full-stack hardware design, embedded systems, AI, and web solutions.