FOR DEVELOPERS
Unified environment for developing, training, and deploying AI-powered robotics, combining cloud scalability, GPU acceleration, and real-time automation in one integrated system.
OVERVIEW
The robolaunch Industry Cloud Platform integrates your data, models, and compute resources into a unified system, streamlining AI development, real-time inference, and robotic execution—all from a single, seamless interface built for industrial scalability.
Turn-key AI-powered solutions for production automation and quality inspection, built on robolaunch AIR and VIA.
GPU-accelerated environment with multi-language coding, pre-configured tools, and isolated workspaces for seamless AI/ML development.
Represents the base infrastructure (Cloud, On-Premises, Edge) and integrations with industrial assets (cameras, sensors, robots).
Develop AI solutions in your preferred programming language with a cloud-based IDE. Enable seamless coding with a pre-configured environment accessible from anywhere.
Pick your tool, framework, library from robolaunch marketplace and jump straight into your project—no setup or installations needed.
Each robolaunch Desktop Environment is an isolated container, providing a secure and controlled workspace for AI/ML development. It ensures secure collaboration while protecting your private workspace and data.
Distribute central GPU resources across teams and projects for maximum utilization. Optimize computational efficiency and ensure balanced resource sharing.
Run your resource-intensive AI/ML projects efficiently with NVIDIA GPUs.
By running entirely on-prem, keep your AI/ML workloads and sensitive data within your infrastructure.
01
Develop, test, and deploy advanced robotic applications with AI-driven perception, motion planning, and automation.
02
Train and deploy AI models for predictive maintenance, quality inspection, and autonomous decision-making in industrial environments.
03
Harness real-time factory data for analytics, process optimization, and AI-driven insights to improve operational efficiency.
04
Deploy LLM-powered applications for knowledge extraction, process automation, and human-AI collaboration in industrial settings.
05
Create virtual factory replicas to simulate, test, and optimize robotic workflows and AI models before real-world deployment.
06
Automate CAD-driven processes, optimize design iterations, and integrate AI-assisted modeling for manufacturing applications.
Create your account and customize your development environment by selecting the desired GPU, CPU, RAM, and storage to match your project needs.
Select a pre-built AI or robotics application from the marketplace, ensuring a ready-to-use setup with the required frameworks and tools.
Begin coding, test your models, and scale seamlessly with high-performance computing and AI-driven automation.