Deploy Your Edge AI System in 60 Seconds

Clone It Anywhere in One Click

Stop Building Infrastructure. Start Shipping Products.

Your customers are waiting. Your competitors are moving fast. Yet you're stuck managing SSH keys and docker-compose files across dozens of systems.

The Hidden Cost of Scaling Edge AI

Every hardware startup hits the same wall at 50+ deployments:

You didn't start your company to become a DevOps company.

make87: Ship Hardware Products 10x Faster

One Platform. Simple Setup. Unlimited Scale.

1. Sign Up2. Run One Command → 3. Deploy from Web UI

AUTH_REQUEST_ID=<your-id> curl -sSL https://get.make87.com/node | sh

Build, deploy, and scale everything through our web UI. Start with system templates to test immediately - no custom code needed.

Built for Teams Shipping Real Products

🚀 Clone & Deploy in One Click

Your inspection system works perfectly at Site #1? Deploy the exact same multi-device setup to Sites #2-100 instantly. Whether it's a single robot or a coordinated fleet of sensors and processors - one click replicates everything.

🔄 Update Your Entire Fleet at Once

Push updates through the web UI. Every system updates simultaneously. Roll back just as easily if something goes wrong. No SSH, no manual scripts, just clicks.

👁️ Know What's Happening Everywhere

Real-time status for every device in every system. Container logs. Resource monitoring. Debug directly from your browser - no terminal required.

👥 Ship Independently, Deploy Together

Your perception team pushes new ML models. Sensor team ships driver improvements. Navigation releases bug fixes. With make87, each team owns their module while the system stays in sync. No more release bottlenecks or integration nightmares.

Trusted by Teams Building the Future

"We moved from prototype to field-ready product in less than two months. make87 let us focus on advancing our AI models and power management without reinventing infrastructure."
- Founder, NatureTech Startup
"If we can make the software even easier and not have to deal with Docker and all of this stuff, then that plays into the same hardware simplicity we're trying to achieve."
- Hardware Startup Founder, Drone Systems
"The ability to remotely debug and live-patch code on devices deployed in the field is a step-change over legacy IoT solutions. We can resolve issues rapidly without waiting for physical access."
- Engineering Lead, Bee friendly
"The ability to debug on target hardware in the real world without taking systems offline - that's a game changer. What's the alternative? Replace equipment at huge cost or shut down operations completely."
- Enterprise Solutions Consultant, Industrial Systems
"It's important that we have guaranteed consistency across machines. If one fails, we roll back everything. I need to see the errors and know exactly what happened."
- Engineering Lead, Manufacturing AI

Purpose-Built for Edge AI & Robotics

Unlike AWS IoT or Azure Edge:

Perfect For:

Pricing That Scales With You

Our pricing is simple: you pay per system, not per device.
Whether your inspection line has 1 camera or 10, whether your robot coordinates with 3 edge servers or 30 sensors - it's one system, one price.
Start completely free with 2 active systems to prove your concept. When you're ready to scale, our Teams tier supports up to 30 systems with managed cloud nodes and multi-user collaboration - perfect for pilot deployments and growing operations.
For production at scale, Enterprise removes all limits and adds global management nodes, SSO integration, and dedicated support. The philosophy is straightforward: we don't penalize you for building complex, coordinated systems. A simple single-device deployment costs the same as a sophisticated multi-device orchestration. This means you can architect your solution based on what works best technically, not what fits a pricing model.

Stop Building Infrastructure. Start Shipping Products.

2025 is the Year of Physical AI. Are You Ready?

Grab a quick call and we'll walk through your current deployment challenges. We'll show you exactly how make87 would handle your specific use case—using your actual hardware constraints and deployment requirements.

Pick a time

No slide decks, no sales fluff—just a frank technical huddle. Bring your gnarliest deployment problem and let's see if we can solve it.