Fleet-wide visibility with zero impact on your robots.
Predict failures, prevent downtime, and understand every robot in your fleet — without touching a single control loop.
Mixed-vendor robots. Mixed telemetry. Mixed results.
Today’s robot fleets rarely come from a single vendor. Each platform exposes different metrics, formats, and APIs — if they expose anything at all. Operations teams end up stitching together screenshots, exports, and one-off dashboards. Teams lack a dedicated observability and monitoring layer for the fleet as a whole.
Telemetry silos everywhere
Each vendor tool shows part of the picture: battery here, fault codes there, throughput in another tool. No single view of fleet-wide robot health and performance.
Control stacks are fragile
Nobody wants another dependency inside the robot’s control loop. “ROS in the cloud” adds latency and failure modes your production team doesn’t need.
Scaling is painful
As you add robots and sites, dashboards buckle, exports grow to TBs, and it becomes harder to answer basic questions like “Which robots are dragging down throughput right now?”.
Telemetry-first, edge-aware, and vendor-neutral.
RobotOps runs alongside your existing robotics stack — not inside it. We deploy a lightweight edge agent, normalize telemetry into a unified schema, and stream only the data you need for fleet-level visibility and downtime prevention. The result is a clear diagnostics and reliability layer for every robot, site, and vendor.
1. Edge agent, deployed on-prem
A small container or service runs near your robots, passively collecting telemetry via vendor APIs, topics, or industrial protocols. It never controls robots or sits in their critical control path.
2. Unified Robot Telemetry Schema
RobotOps normalizes metrics like battery, pose, task status, error codes, and throughput into a unified schema so cross-vendor comparisons, alerts, and failure prediction “just work.”
3. Fleet-wide observability & alerts
In the cloud, we provide dashboards, rules, and APIs that let you see health by robot, vendor, or site; detect anomalies; and catch downtime risks before they hit SLAs.
Built for operations, data, and robotics teams.
RobotOps gives each stakeholder the views and data they need, from day-to-day incident handling to long-term capacity and ROI planning.
Operations & site leaders
Live fleet status, at-risk robots, and throughput trends across vendors and sites, without logging into five portals or exporting CSVs.
Robotics & software teams
A normalized telemetry firehose and APIs, so you can build your own analytics, test new algorithms, and debug vendor issues with real fleet data.
Ops strategy & finance
Quantify the real impact of robotics investments with uptime, utilization, and ROI views that span vendors, contracts, and sites.
A structured 4-week pilot to prove value quickly.
We know robotics teams are busy and production systems are sensitive. Our pilot is designed to be low friction: small scope, clear success criteria, and no changes to your control stack.
Pilot structure
What we’re proving
Rather than promising magic AI, we focus on a few concrete outcomes during the pilot:
RobotOps in a few straight answers.
Is RobotOps another robot orchestration platform?
No. RobotOps does not schedule jobs or control robots. It is an observability and analytics layer focused on telemetry, health, uptime, and throughput across your fleet.
Do we need to run ROS in the cloud to use RobotOps?
No. RobotOps connects to your existing robots and systems via vendor APIs, topics, and industrial protocols. We avoid putting control logic in the cloud entirely.
Does RobotOps work with non-ROS robots in production?
Yes. Most production fleets are not pure ROS. RobotOps is designed for mixed-vendor fleets, including non-ROS robots in production as well as ROS-based systems.
What does “vendor-neutral” really mean?
We expect you to use multiple robot vendors over time. RobotOps normalizes telemetry into a common schema so you can compare health and performance across vendors, sites, and contracts.