ROBOTICS
From lab to field in weeks, not years.
Your robot works in the lab. Now your roboticists are debugging kernel drivers instead of improving perception. Peridio delivers production-grade embedded Linux for Jetson—so you can close the deployment gap and scale your fleet.
You're not a linux company. We are.
It starts innocently. Your prototype impresses in the lab. Then you try to deploy at a customer site and discover that getting from demo to production is an 18-month detour through kernel drivers, ROS dependency hell, and security compliance. Your robotics team didn't sign up for this. Neither did you.
The Lab-to-Field Gap
Your robot worked perfectly in controlled conditions. In the real world—dust, vibration, variable lighting—everything breaks. Every site visit costs $5K. You're scaling a prototype, not a product.
Roboticists ≠ Linux Engineers
They were hired to improve perception and navigation. Now they're maintaining ROS containers, debugging JetPack version mismatches, and fielding questions about secure boot. Fifty percent of engineering cycles—gone.
The Enterprise Security Audit
Your Fortune 500 customer won't deploy until you pass their security questionnaire. Reproducible builds? SBOM generation? Disk encryption? You can't answer because your JetPack + Docker stack doesn't either.
THE SOLUTION
Close the Deployment Gap.
Peridio replaces the 18-month "deployment gap." We own the OS layer—NVIDIA-validated, long-term supported—so you don't become an accidental embedded Linux company.
Decouple Your OS from Your Autonomy Stack
OS layer (Peridio-managed) stays rigid. Application layer (your ROS packages, perception models, configs) updates independently. Ship perception improvements without touching firmware.
- Independent component lifecycles
- ROS package updates without OS rebuilds
- Faster iteration on what differentiates your robot
- Treat robots like microservices
HARDWARE SUPPORT
Built for Jetson. Not Locked to It.
We're an NVIDIA NPN partner. Avocado OS ships with pre-validated CUDA, TensorRT, and Isaac ROS compatibility across the Orin and Xavier families. But we also know hardware roadmaps change.
NVIDIA FOCUS (PRIMARY)
- Seamless JetPack version upgrades
- Pre-validated CUDA + TensorRT + Isaac ROS combinations
- NVIDIA Preferred Partner—production-ready from day one
Also Supported
NXP i.MX
8M Plus, 93, 95
Qualcomm
Snapdragon
Raspberry Pi
4, 5, CM4, CM5
TI
AM62x, AM64x
Renesas
RZ/G2
x86-64
Intel, AMD
Supply Chain Freedom
- Single codebase across all silicon vendors
- Switch hardware without rebuilding your stack
Supported Platforms
15+
Board Variants
50+
Partner ODMs
12
RESOURCES
Do Your Diligence. We'll Be Here.
Dig into the docs, review the architecture, check the security posture. We built this for engineers who ask hard questions.
Resource Library
Access webinars, videos, podcasts, solution briefs, and insights from real-world AI projects.
See Physical AI in action →Documentation
See the API reference. Explore our SDK. Understand exactly what you're deploying.
Explore docs →Supported Hardware
View our support matrix for production-ready hardware platforms and development boards.
Start building →Day 1 Production-Ready.
Enterprise-grade device management from the start. Scale from prototype to fleet without rebuilding your infrastructure.