inverted.ai: Powering Realistic AI Simulations for Autonomous Systems

inverted.ai is a cutting-edge platform dedicated to advancing intelligence in autonomous vehicles and advanced driver assistance systems (AV/ADAS) through highly realistic, behaviorally diverse, and reactive non-playable characters (NPCs) for simulation. Leveraging proprietary deep generative models, it enables developers and researchers to create lifelike driving scenarios that enhance testing and training for autonomous robots, smart cities, and broader simulation environments. With robust developer tools including C++ and Python clients, REST API documentation, and specialized frameworks like TorchDriveSim and TorchDriveEnv, inverted.ai supports seamless integration into simulation workflows. Its suite of data offerings—Real Logs, Synthetic Logs, and Dynamic Logs—ensures comprehensive, high-fidelity training data, while API endpoints such as DRIVE, INITIALIZE, SCENARIO, and BLAME streamline scenario development and analysis.

Key Features:

• Reactive, realistic, and behaviorally diverse NPCs for simulation
• Proprietary deep generative models for human-like behavior simulation
• Simulation tools for autonomous vehicles (AV), ADAS, autonomous robots, and smart cities
• AV 2.0 and AV 1.0 platform applications
• API endpoints: DRIVE, INITIALIZE, SCENARIO, and BLAME
• Real Logs, Synthetic Logs, and Dynamic Logs data offerings
• Developer resources: C++ Client, Python Client, and REST API documentation
• TorchDriveSim and TorchDriveEnv for advanced simulation development

Pricing: inverted.ai offers a freemium model with accessible entry-level access and premium tiers for advanced features and enterprise use.

Conclusion: With its innovative approach to simulating intelligent, human-like behaviors, inverted.ai is a powerful enabler for the future of autonomous systems, offering developers and researchers the tools and data needed to build safer, smarter, and more realistic simulations.