From AI Hardware Prototype to Production in the Greater Bay Area

A working demo is not a production specification

A convincing demo proves that something can work under particular conditions. It does not yet establish manufacturing yield, component availability, battery life in daily use or the cost of supporting deployed devices. Before asking for quotations, write down the exact behaviour a paying customer needs and how you will measure it.

For an AI wearable, for example, record capture quality in noise, latency, false activation, offline behaviour and battery endurance. For a robot, record task success, interventions and failure recovery in the intended environment. These are illustrative evaluation questions, not performance claims about any Jimhang portfolio company.

Send a supplier brief that produces comparable quotes

Prepare the same non-confidential brief for each prospective supplier. State the product category, expected stage of work, target volumes, destination markets, critical dimensions, power constraints and acceptance criteria. Separate confirmed requirements from assumptions. Ask the supplier to explain which engineering tasks are included and which require another party.

Compare development fees, tooling, per-unit assumptions, minimum quantities, testing, packaging and logistics separately. A low unit quotation can hide expensive tooling changes or exclude testing. Ask what happens if a selected component becomes unavailable, whether substitutions require your written approval and how the bill of materials is versioned.

Before exchanging detailed designs, agree confidentiality, permitted use, subcontractor access and ownership arrangements with appropriate professional advice. Keep drawings, firmware versions and supplier approvals in a controlled project record. The goal is traceable decisions, not simply a fast exchange of files.

Use evidence gates, not calendar promises

Engineering validation should establish whether the key technical choices work. Design validation should test the intended design against the agreed requirements. Production validation should examine whether the proposed process can repeatedly produce acceptable units. Teams use EVT, DVT and PVT differently, so agree what each gate means in your contract and test plan.

For every build, document the configuration, sample size, pass criteria, observed failures, corrective actions and the person who signs off. A small successful batch is useful evidence, but it is not a guarantee of future yield. Do not proceed solely because a supplier’s calendar says the next stage has arrived.

Model the AI service after the device ships

Hardware margin alone is not the business model if each device consumes cloud inference, connectivity, storage or human support. Estimate these costs under light, typical and heavy use. Test whether your proposed subscription, device price or enterprise contract can cover them.

Also plan device identity, secure updates, rollback, model-version changes and customer support ownership. Consider what the product does if its cloud service is temporarily unavailable. Privacy, product safety and market-access obligations depend on the device and destination; obtain a product-specific review rather than treating a general checklist as certification advice.

How to make a first Greater Bay Area visit productive

Choose meetings around unresolved decisions. One supplier discussion might test a mechanical constraint; another might establish available testing capacity; a founder meeting might clarify who will own local coordination. End each meeting with a written open-issue list, an owner and a next deliverable.

Jimhang welcomes a discussion of these workstreams before an overseas team commits to a factory relationship. Send your stage, biggest engineering uncertainty, indicative volumes and next commercial milestone to Justin Zhan. A tightly specified request makes a supply-chain introduction more useful than a general sourcing tour.