We partner with engineering teams to build industrial AI systems. From predicting machine failure via sensor data to accelerating custom models on FPGAs and IoT microcontrollers, we replace ad-hoc scripts with production-ready hardware workflows.
Refactor algorithms to reduce latency and footprint. We translate models into high-performance hardware using High-Level Synthesis, optimizing for timing and throughput without sacrificing accuracy.
Rapid development of proof of concept systems. We integrate complex machine learning models with real world sensor data and deploy them directly onto FPGA or IoT microcontroller (MCU) architectures.
Structure your ML-to-hardware processes and upskill your team. We combine tailored training with project-focused consulting to replace ad-hoc scripts with clean, reproducible pipelines.
We map your current systems, identify hardware bottlenecks, and define clear project goals.
We formulate a concrete roadmap and work together to optimize models, tooling, and deployment pipelines.
We deliver production-ready workflows, comprehensive documentation, and empower your team to take over.