At DeepCharge, we set out to build a new kind of logistics infrastructure: one that powers not just devices, but operational visibility and uptime across enterprise workflows. And from the beginning, we knew we couldn’t afford long delays, miscommunication across time zones, or six-month lead times to debug a PCB revision.

So we made a call early: build in the U.S.

Not just for the first few prototypes—but all the way through pilot deployment.

Why most hardware startups default offshore

The arguments are familiar:

• Cheaper unit economics (on paper)
• High-volume capabilities
• “Everyone else does it”

But what those slides don’t show you are:

• Delays from late-night Slack messages that get answered 12 hours later
• Quality control that breaks your demo three days before a customer visit
• IP and design leakage risks
• Tooling changes that take weeks instead of hours

For DeepCharge, our most scarce resource wasn’t money. It was time.

The U.S. Advantage: Trust, Speed, and Shared Urgency

One of our turning points was partnering with Saunders Electronics, a manufacturing partner based in Maine. We didn’t just get a supplier—we got a team that moved with us. (Our partnership was even featured on WMTW Channel 8).

• When we needed a last-minute revision, they turned it in days, not weeks.
• When component shortages hit, they worked their network to keep things on track.
• And when we shared our enterprise deadlines, they met them—no excuses.

We also received support through MTI (Maine Technology Institute) and the Northeast Microelectronics Coalition Hub (NEMC) across Maine and Massachusetts. These programs saw the value in enabling next-gen infrastructure to be built domestically. These weren’t just grants—they were accelerators.

Why This Matters for the Future of AI Infrastructure

AI isn’t just models. It’s uptime. Reliability. The real world.

If your infrastructure doesn’t work in the field—if devices fail, if systems go offline—your AI breaks silently.

And fixing that isn’t just about better code.

It’s about designing smarter systems end-to-end. That includes your hardware, your firmware, your power management, and your manufacturing supply chain.

By building locally, we created a feedback loop between our engineers, operators, and manufacturers. Problems got solved faster. And quality wasn’t an afterthought—it was part of the loop.

Our Playbook for Building in the U.S.

If you’re considering it, here’s what worked for us:

1. Pick aligned partners, not just vendors: Saunders cared about speed and impact, not just quantity.
2. Prioritize communication loops: Real-time feedback saved us weeks.
3. Design with manufacturability in mind: Simplify where you can. Iterate where you must.
4. Leverage local funding programs: MTI and NEMC support made the speed viable.
5. Treat the manufacturer as part of your team: We brought them into our goals, timelines, and even customer feedback.

The Result?

We shipped a working pilot into a Fortune 500 environment, validated device uptime improvements, and generated real operational data—all in months, not quarters.

We’re not done yet. But we’re building fast, learning faster, and proving that great hardware-AI systems don’t have to compromise on speed.