A sample of engagements where AI-powered design, virtual modeling, and FPGA acceleration moved a product from "barely works" to "ships confidently." Details anonymized under NDA.
Moved an object-detection pipeline from CPU to FPGA fabric, hitting deterministic frame timing for a mobile robot.
Built a virtual model that exposed two architectural dead-ends before any hardware was committed.
Quantized and optimized a model to run fully offline on constrained embedded hardware.
Accelerated a sensor-fusion algorithm on FPGA to meet a hard real-time control budget.
Designed and modeled an AI inspection system that keeps pace with a high-speed production line.
Ported a DSP chain to FPGA to extend battery life on a handheld medical device.
A representative edge inference workload, before and after an Imagineous FPGA engagement.
The before/after numbers weren't marketing — they were the numbers we measured ourselves after the handoff. That's rare.
Marcus LindqvistDirector of Engineering, UAV Systems
They understood the medical constraints as well as the DSP. Doubling our battery life reshaped the whole product.
Aiko TanakaProduct Lead, Medical Devices
Bring us the workload that's too slow, too hot, or too power-hungry. We'll show you what's possible.