Rosepetal AI

Deploy Vision AI in Seconds

Take your AI models from development to production. Deploy anywhere - from edge devices on the factory floor to cloud infrastructure.

Flexible Deployment Options

Choose the deployment method that fits your needs

Edge Deployment

Self-hosted on your own hardware. Ideal for low-latency requirements and data privacy concerns.

  • Ultra-low latency (sub-10ms)
  • Works offline without internet
  • Data stays on-premise
  • Open-source inference server

Cloud Deployment

Managed, scalable API infrastructure. Perfect for applications that need flexibility and automatic scaling.

  • Perform inference to automate labeling
  • Analyze model performance with new data
  • 99.9% uptime SLA
  • One-click model version updates

Rosepetal Controller

A comprehensive Docker-based suite to simplify project deployment and management in industrial environments

Hardware Monitor

Real-time monitoring of CPU, GPU, memory, network with alerts and diagnostics

System Logs

Access to system and low-level logs for troubleshooting and diagnostics

NATS / MQTT Debug

Low-level logging and debugging of messages to cameras, PLCs, and related hardware

Development IDE & Terminal

Create and manage scripts and programs with integrated development tools

Database Management

Manage local NoSQL and SQL databases on the controller

File Manager

Web-based file management for controller files and directories

FTP/WebDAV Management

Configure remote access to local files over LAN

Process Control

Manage processes, containers, and software packages

System Configuration

Configure network, users, and other system parameters

Rosepetal Hardware Controllers

Pre-configured industrial hardware optimized for running Rosepetal Controller and AI vision applications

Entry Level

Controller i200

Compact and efficient for standard vision tasks

8-core CPU
16GB RAM
1920 Turing CUDA cores
6GB GDDR6 VRAM
Object Detection (640x640)
15ms
inference time
High Performance

Controller T1000

Powerful solution for complex multi-camera systems

16-core CPU
32GB RAM
3584 Ampere CUDA cores
12GB GDDR6 VRAM
Enhanced Performance
2x faster
than i200

Learn More About Deployment

For detailed information about deployment options, hardware requirements, and integration guides, visit our comprehensive documentation

View Documentation

Custom hardware Platforms

Deploy on any hardware that fits your manufacturing environment

NVIDIA Jetson

Xavier, Orin, Nano

Industrial PCs

x86 CPU with GPU

Docker

Containerized

Smart Cameras

Embedded vision

Custom integrations & SDKs

Easy integration with your existing systems

gRPC and REST API

Simple HTTP endpoints for easy integration with any programming language or platform.

Python SDK

Native Python library with full support for all platform features and workflows.

.NET SDK

Native .NET library for seamless integration with C# and .NET applications.

Impact Software Suite

Integration with IDS's Impact vision software for industrial automation.

Halcon / Merlic

Seamless integration with MVTec's Halcon and Merlic vision platforms.

VisionPro Software

Direct integration with Cognex VisionPro for enhanced quality control.

Ready to Deploy Your AI Models?

Take your quality control system to production today.