NeuralPeak doesn't ship finished products — we ship silicon, a reference design, and a toolchain, then work shoulder-to-shoulder with the teams that build the cameras, robots, and machines it powers.
Every partner comes to us because they hit the same wall: their AI model works, but it can't run on the device, at their power budget, with their latency budget. We remove that wall.
Manufacturers of mobile robots, robotic arms, and autonomous platforms that need on-board perception with a deterministic control loop.
Teams building cameras, doorbells, and inspection systems where compute has to fit inside a sealed housing and stay cool.
System integrators putting inspection and monitoring on factory floors, where uptime and deterministic latency are non-negotiable.
Module and single-board-computer makers who embed NP-1 or NP-C1 into their own compute modules and sell them to developers.
We're a design-in partner, not a catalogue vendor. Most engagements move through three stages, and we stay on the line the whole way.
A board, the PeakStack toolchain, and a benchmark harness so your team can measure your own models on real silicon within a week.
Schematics, layout guidance, and thermal modeling for NP-1 and NP-C1 — plus our engineers on call as your board comes together.
Yield and supply planning, firmware updates through the life of the product, and an escalation path that ends at our silicon team.
What "design-in support" actually means: a reference implementation you can lift, plus the engineering backing to make it yours.
| Schematic | Full reference schematic, source files included (Cadence / Altium) |
|---|---|
| Layout | 12-layer stack-up, memory PHY and MIPI fan-out, impedance-controlled |
| Power delivery | PMIC and rail sequencing, ripple characterized under worst-case load |
| Thermal | Junction-temperature model plus a validated heatsink / housing option |
| Firmware | Reference firmware image, boot sequence, and driver sources |
| Validation | Our bring-up report: signal integrity, thermal, and power data |
"The difference with NeuralPeak wasn't the silicon — it was the people on the other end of the datasheet. When our thermal model didn't close, we were talking to their physical-design lead the same week, not filing a ticket."