Customer Perspective

Companies, startups, and developers operating robotic hardware can access MindGrid intelligence solutions directly, without the need to hold $MIND. The MindGrid Marketplace offers plug-and-play API modules for perception, reasoning, motion planning, and speech, engineered for seamless integration with existing robotic platforms.

This architecture allows teams to deploy advanced intelligence rapidly, minimizing integration complexity and accelerating time-to-market. Each deployment includes performance benchmarks, telemetry tracking, and evaluation pipelines, ensuring reliability, safety, and measurable real-world performance.

By leveraging MindGrid’s solutions, companies can scale their robotics capabilities without rebuilding the software stack in-house, while simultaneously contributing to a tokenized, performance-linked ecosystem. Revenue generated from enterprise deployments supports staking rewards and reinforces the continuous value loop between developers, participants, and the broader MindGrid network.

Integration & Deployment

MindGrid’s modular, interoperable architecture ensures compatibility across humanoids, robotic arms, drones, and autonomous mobile systems- making integration frictionless and deployment scalable.

Plug-and-Play APIs

All MindGrid premium solutions are exposed through unified APIs. Developers can call perception, reasoning, motion, and speech endpoints independently or link them into complete pipelines. Consistent JSON schemas, timestamps, and confidence scores standardize outputs for easy downstream integration.

ROS2 Compatibility

For robotics developers, MindGrid provides ROS2 nodes and action servers, enabling direct compatibility with existing robot control frameworks. This means MindGrid modules can publish detections, plans, and commands into standard ROS2 topics without requiring custom bridges.

Simulator Adapters

Testing and validation can be performed in MuJoCo, PyBullet, or Unity before deploying to physical hardware. MindGrid simulator adapters allow the same API calls and logic to run in simulated environments, providing safety, reproducibility, and accelerated iteration.

Edge + Cloud Hybrid Deployment

Our architecture supports lightweight models at the edge for privacy, responsiveness, and safety-critical monitoring, while heavy workloads can be offloaded to the cloud via our Premium APIs. A secure gateway manages authentication, telemetry, and rate limiting across both environments.

Enterprise-Grade Options

For organizations requiring higher guarantees, we provide:

• On-prem deployments for full data control.

• Private cloud endpoints with guaranteed SLAs.

• Compliance-ready pipelines (SOC2, GDPR) for sensitive environments.

Continuous Updates

All deployed MindGrid solutions benefit from continuous improvement. Updates to models, safety layers, and performance optimizations are delivered through versioned APIs, ensuring ongoing reliability, security, and forward compatibility across all deployments. This approach guarantees that every integration - past, present, and future - remains aligned with the latest advancements in robotic intelligence.