Edge AI at Scale.
Deploy AI models and applications to edge devices in minutes. From prototype to production fleets, scale effortlessly. Cliff handles the complexity of fleet management and deployment so you can focus on building.
How it works
Get started in minutes with a simple setup process
Simple Setup
One line installation script to get your edge device connected
Connect to Cloud
Your edge device automatically connects to Cliff cloud
Deploy Applications
Deploy applications to your edge devices in one click
Manage & Update
Swap models, change parameters, and update configurations instantly
Features That Scale With You
Start small with a single device or scale to thousands. Cliff grows with you, providing enterprise-grade tools that are simple enough for anyone to use.
One Click Deploy
Deploy applications to your edge devices instantly with a single click. No DevOps expertise required—from Raspberry Pi to industrial hardware.
Remote Access to Inference Results
Retrieve real-time inference results via REST endpoints. Streaming supported for continuous data flows and live updates.
Turnkey Model Optimization and Quantization
Optimize and quantize your AI models with ease. Iterate quickly to find the best model for your edge device. Reduce model size and inference latency while maintaining accuracy.
Prototype to Production
Whether it's a single device for testing and validation, or a production fleet of thousands, Cliff makes it easy to go from proof of concept to production at scale.
Proactive monitoring that simplifies deployment and debugging
Cliff correlates device logs, resource usage, and inference results to understand real‑world behavior.
Instantly see what changed: image, model, configuration, and network context for each device.
Preflight simulations and health checks prevent bad releases from reaching the edge.
Demo
Watch a YOLOv8 object detection application being deployed to a Jetson Nano in real-time
Pricing
Choose the plan that works for you
Hobby
- ✓3 connected devices
- ✓Instant deploys
- ✓Access to pre-built application templates
Builder
- ✓50+ connected devices
- ✓Instant deploys
- ✓Model quantization
- ✓Analytics
- ✓Live streaming inference
- ✓A/B Testing
- ✓CliffAgent for debugging and active monitoring
Enterprise
- ✓Unlimited devices
- ✓Instant deploys
- ✓Model quantization
- ✓Analytics
- ✓Live streaming inference
- ✓A/B Testing
- ✓CliffAgent for debugging and active monitoring
- ✓99.9% SLA guarantee
- ✓Priority support
- ✓Dedicated account manager
- ✓Advanced security & compliance
- ✓Custom integrations
Frequently Asked Questions
Common questions about deploying AI models to edge devices
How difficult is it to get started?
Getting started with Cliff is straightforward. We provide a one-line installation script that connects your edge device to the cloud. From there, you can deploy AI models with a single click. No DevOps expertise required.
What devices are supported?
Cliff works with a wide range of edge devices, from Raspberry Pi to industrial hardware. As long as your device can run Docker containers, it should work with Cliff.
Do I need coding experience?
You don't need extensive coding experience to use Cliff. You can deploy pre-built models or use our application templates. However, if you want to build custom applications, some programming knowledge will be helpful.
How does pricing work?
We offer a free Hobby plan for up to 3 devices. Our Builder plan starts at $20/month for 50+ devices with additional features like model quantization and analytics. Enterprise plans are available for larger deployments.
Can I scale from a single device to a fleet?
Absolutely. Cliff is designed to scale with you. Start with a single device for testing, then expand to hundreds or thousands of devices as needed. The same deployment process works whether you're managing one device or a large fleet.
Request a demo
See how Cliff manages on‑device ML at scale.