Question 1

What is Ferronyx?

Accepted Answer

Ferronyx is the intelligence layer for ROS robots in production. It provides real-time observability, automated root cause analysis, and AI-assisted debugging for robotics teams running ROS/ROS2 fleets. Ferronyx helps reduce robot MTTR from hours to minutes.

Question 2

What problems does Ferronyx solve?

Accepted Answer

Ferronyx solves key robotics operations challenges: reducing debugging time (MTTR) from 4 hours to 15 minutes, detecting sensor drift before failures occur, debugging ROS2 navigation failures with Nav2 visibility, correlating deployments with incidents, and providing fleet-wide visibility across all robots.

Question 3

Does Ferronyx work with ROS2?

Accepted Answer

Yes, Ferronyx is built specifically for ROS and ROS2 robots. It provides deep integration with ROS2 topics, the Nav2 navigation stack, and common robotics infrastructure. Ferronyx understands ROS2-specific telemetry and provides intelligent debugging for ROS2 production issues.

Question 4

What types of robots does Ferronyx support?

Accepted Answer

Ferronyx supports all ROS/ROS2 robots including: warehouse AMRs (autonomous mobile robots), delivery robots, humanoids and manipulation robots, industrial automation systems, AGVs, and any robot running ROS2 in production.

Question 5

How does Ferronyx reduce robot MTTR?

Accepted Answer

Ferronyx reduces robot MTTR (Mean Time To Resolution) through: AI-assisted root cause analysis that automatically identifies failure causes, automatic correlation of logs, metrics, and sensor data, deployment markers that show what changed before failures, and timeline replay to see exactly what happened during an incident.

Question 6

How does Ferronyx compare to traditional logging?

Accepted Answer

Traditional logging requires SSH access to individual robots, manual log correlation, and hours of data analysis. Ferronyx provides centralized observability with instant access to all robot data, AI-assisted analysis that identifies root causes automatically, and pre-built debugging views. This reduces investigation time from hours to minutes.

Question 7

What is robot MTTR and why does it matter?

Accepted Answer

MTTR (Mean Time To Resolution) is the average time to fix a robot issue. For production robot fleets, MTTR directly impacts operational efficiency and costs. A typical incident without proper tooling takes 4+ hours to debug. With Ferronyx, teams reduce this to under 15 minutes, dramatically improving fleet uptime and reducing engineering burden.

Question 8

Can Ferronyx detect sensor drift automatically?

Accepted Answer

Yes, Ferronyx continuously monitors sensor health metrics and uses anomaly detection to catch drift patterns before they impact operations. This proactive detection often identifies sensor degradation days before it would cause navigation failures or mission problems.

Question 9

How does alert correlation work in Ferronyx?

Accepted Answer

When a robot failure occurs, multiple alerts often fire simultaneously (CPU spike, node crash, navigation failure, etc.). Ferronyx uses intelligent correlation to group related alerts, analyze causal relationships between subsystems, and identify the root cause. Instead of investigating 5 separate alerts, you see one correlated incident with the actual problem clearly identified.