METHODOLOGY
A go/no-go report with preliminary accuracy and latency measured on your actual chip. Before you commit to a fixed-price engagement, know whether the detection problem is solvable on your silicon.
WHAT THE GATE DELIVERS
Every accuracy and latency figure in the Feasibility Gate report comes from the hardware-in-the-loop rig. Your chip goes into the loop. The rig stimulates the sensor chain, captures the response, runs inference on the device, and reads the result from physical hardware.
The methodology aligns to MLPerf Tiny and EnergyRunner. Energy measurement is pending rig commissioning and is not included in the current gate output.
RIG METHODOLOGY OVERVIEW
PROCESS
01
You send your silicon. Any MCU or NPU with a standard flash interface qualifies. Unusual packages require a short pre-qualification call first.
02
The hardware-in-the-loop rig instruments your chip. No emulation. The physical device goes into the measurement loop.
03
The rig drives the sensor chain with real stimuli and captures the response from the physical device.
04
Chrysalis auto-labels the captured sensor data. This is the same pipeline used for Bespoke Model Delivery, so the output is reusable.
05
Inference runs on your chip. Accuracy and latency are measured from physical hardware, not a simulator. Energy measurement is pending rig commissioning.
06
You receive a go/no-go report with preliminary accuracy and latency figures, a dataset summary, and a recommended next step.
WHAT YOU PROVIDE
WHAT YOU RECEIVE
START AN ENGAGEMENT
We return a go/no-go within the feasibility window.