Manage hundreds of humanoid robots from a single dashboard. Real-time health monitoring, brain orchestration, predictive maintenance, and AI-powered optimization.
A live dashboard that surfaces the data that matters. Spot issues before they become problems.
| RIN | Model | Current Brain | Health | Status |
|---|---|---|---|---|
| TSL-OPT3-2026-00047291 | Tesla Optimus v3 | WH-PickPack Pro v3.2 | 94 | Active |
| FIG-02A-2026-00128456 | Figure 02-A | RetailAssist Premium v2.1 | 87 | Active |
| BD-ATL2-2025-00093817 | BD Atlas v2 | SecurityPatrol Elite v4.0 | 68 | Active |
| AGR-DIG3-2026-00256109 | Agility Digit v3 | WH-Sorting Std v2.8 | 52 | In Service |
| 1X-NEO2-2026-00189234 | 1X Neo v2 | HomeCare Companion v1.5 | 91 | Idle |
Everything you need to run a fleet of humanoid robots at enterprise scale.
Real-time health scores from 0 to 100 across six categories: actuators, sensors, battery, compute, network, and calibration. Get predictive alerts hours before failures happen.
Schedule automatic brain swaps for shift changes. Warehouse picker by day, security patrol by night. Roll out new brains with canary deployments across your fleet.
Automatically schedule service appointments when health scores drop below thresholds. Smart rotation ensures minimum robots are offline at any time.
Track brain licensing costs, service expenses, and compute spend per robot. Measure ROI by role and optimize your fleet budget with data-driven insights.
Manage robots across warehouses, offices, retail stores, and construction sites from one dashboard. Location-based policies and performance comparison.
AI-powered brain assignment recommends the best brain for each robot based on workload, location, and performance history. Automatic load balancing across your fleet.
Define rules once, let the platform enforce them across your entire fleet automatically.
Roll out new brain versions gradually to minimize risk. The platform monitors performance at each stage before proceeding.
Assign different brains for different shifts. The platform handles the swap automatically at scheduled times.
Define rules so new robots added to your fleet are automatically configured with the right brain for their role and location.
Manage your fleet programmatically via REST API or let AI agents handle it through our MCP server.
AI agents can autonomously manage your fleet using these Model Context Protocol tools. Connect your AI assistant to our MCP server and let it handle fleet operations.
// AI agent optimizes brain assignments
// across your entire fleet
dashboard = get_fleet_dashboard(
org_id="acme-logistics"
)
recommendation = optimize_fleet_assignment(
org_id="acme-logistics",
strategy="maximize_throughput",
constraints={"min_health": 70}
)
result = batch_install(
assignments=recommendation.assignments,
rollout="canary",
stages=[0.1, 0.5, 1.0]
)Scale from a pilot program to enterprise-wide deployment.
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