Powering systems that learn by doing.
Where AI learns from action, not just observation, every interaction matters.
Moonba Mirro
The enterprise-grade reinforcement learning data platform. Moonba Mirro provides production-ready training environments, and deployment infrastructure that accelerates your RL development from months to weeks. Build, train, and deploy intelligent agents with confidence.
Mirro Features
High-Quality Training Environments
Train your RL agent on realistic environments, ensuring your agents learn from multi-point and production ready scenarios.
Customized Data Generation
Tailored datasets designed specifically for your use case. We work with you to generate the exact training data your RL system requires.
Full Control & Customization
Fine-tune every aspect of the training environment. Adjust parameters and control the learning process to match your objectives.
Deploy Anywhere
Host our training environments on your own infrastructure with ready-to-use containers. Reduce training time and maintain full control over your data.
Solutions Mirro Offers
Custom RL Environments
Purpose-built simulation environments designed for your specific reinforcement learning challenges.
Data Generation Pipelines
Automated systems that continuously generate diverse, high-quality training data at scale.
Training Infrastructure
Scalable, containerized infrastructure that accelerates your RL training workflows.
Evaluation Frameworks
Comprehensive testing and evaluation tools to validate your RL agents before deployment.
Frequently Asked Questions
Today, many AI agents are trained in simple sandbox environments that are very different from real business systems. When teams try to deploy these agents, they often fail or behave in unexpected ways, and building realistic training environments and data pipelines in-house is slow and expensive. Moonba solves this by providing production-like environments and data generation tools so teams can train and test agents in conditions that match the real world.
Moonba Mirro gives RL teams the core pieces they need to train AI agents: custom environments that act like real applications, to run their training jobs. We also provide testing and evaluation tools so teams can check how safe and effective their agents are before deployment. This lets teams train and validate agents faster without having to build all this infrastructure themselves.
Mirro is for RL/ML teams at enterprises, research labs, and startups who need to train agents on realistic applications.