This is exactly why we started. We've all experienced being 'too small to matter' at big companies. 1pc minimum is in our service promise.

50 units is a typical kickoff project for us. Our rapid prototyping channel:
No mold needed, CNC/3D print for quick structure validation
Pre-loaded edge algorithms, test core functions out-of-box
DFM review at sample stage, avoiding 'sample works, MP fails'

Our AI voice recorder client started at 200 units. Now in mass production. Small batch is how we build trust.

Fair question—it's a real industry gap. Our edge is full-stack from algorithm to hardware.

How to verify:
Team: Co-founder C, 7 years at Tencent AI, specialized in LLM and edge optimization. Available for technical deep-dive
Documentation: We can share full technical docs from our AI voice recorder—acoustic model selection, NPU allocation. Not something hardware OEMs can produce
Risk foresight: For AI glasses, we'd flag 'edge vision power consumption vs. battery weight conflict' upfront, and propose dynamic frame-dropping + cloud hybrid solution

Suggest a small technical review session—you bring requirements, we bring solutions. Let expertise speak.

Big ODMs excel at scale. But you may face three realities:

Speed: Big companies have layers. Your request flows sales → PM → engineer. Our 4-person team decides directly. Technical response in 4 hours, proposals in 24 hours.

Fit: They have MOQs (usually 10K+) and prioritize big clients. Your 50 or 500 unit request may never hit the line. Our flexible supply chain starts at 1pc, founders personally track every project.

AI depth: Traditional ODMs assemble hardware. AI hardware core is algorithm-hardware synergy. For AI pet emotional computing, microphone array layout must adapt to specific algorithms—cross-domain capability they typically lack.

Our position: Not replacing giants, but being your technical partner from 0 to 1. At 1M units annually, we help you transition to Foxconn smoothly. At validation stage, our agility and AI depth are the better choice.