The Immune System
for Machines

Turn days or weeks of troubleshooting into minutes.
ANOX helps operators and engineers diagnose UAVs, ROVs, and other unmanned systems from operational data without manual log review or expert escalation.

TELEMETRYDIAGNOSISROOT_CAUSE
[SUPPORTED] ArduPilot & PX4 + custom systems • Diagnostic insights in minutes

lightbulb_outline[Backed by]

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Ocean Autonomy Cluster

psychology[RETHINK]

It's time to rethink machine health

Meet DeepTrace, the diagnostic core of ANOX. Modern unmanned systems are tightly coupled, so DeepTrace monitors hardware, software, and mission context as one system to detect and interpret abnormal states over time.

error_outline

Most issues are interaction effects

  • closeInefficient parameter configs draining energy
  • closeMission-specific behavior reducing performance
  • closeEnvironmental factors destabilizing control
  • closeConfiguration drift across fleets
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DeepTrace continuously interprets

  • check_circleSystem-level context across subsystems
  • check_circleEarly detection of abnormal behavior
  • check_circleCausal explanations in mission context
  • check_circleFaster fixes, less downtime

visibility[SEE IT IN ACTION]

From Telemetry to Actionable Insight

What you get: root-cause diagnostics in minutes, system-level understanding, and mission-to-mission learning.

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Faster Diagnostics, Less Dependency

Root causes in minutes so operators resolve issues and engineers focus on improvements.

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System-Level Understanding

See how software, hardware, and mission context interact.

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Built-In System Memory

Track recurring issues, degradation, and hidden inefficiencies across missions.

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Operational Insight

Surface configuration issues, interaction effects, and mission constraints even when nothing fails.

descriptionINSIGHTS
LIVE
scheduleGenerated: 5m|Machine: ArduCopter
assessment

Summary

Loss of control after ~6 min caused by thrust deficit on Motor C1. Controller saturated trying to compensate → crash disarm.

error

Critical

Thrust loss C1 axis → attitude divergence

Confidence:
90%
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Actions

1. Inspect motor/ESC/connectors C1 arm

2. Run Motor Test for verification

3. Tethered hover with logs

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Key Data

RCOU.C1~1900 µs
AngErr153° > 30°
Time394.48s
Generated by ANOX DeepTrace
READY

analytics[WHAT ANOX DELIVERS]

Why teams use it

Fast root-cause diagnostics today, operational intelligence over time.

85%
85%

Faster diagnostics

Reduce time from failure to understanding from days or weeks to minutes

80%+
80%+

Engineering hours saved

Engineers stop being the diagnostic bottleneck

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0

New hardware required

Works with existing logs and telemetry

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Operators empowered

Resolve issues without waiting for engineering support

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Fleet-wide scalability

Improve MTTR across entire fleets without adding headcount

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insights

Operational insight

See what limits performance even when nothing fails

my_location[WHERE ANOX APPLIES]

Built for complex unmanned systems, expanding to all autonomous machinery

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Unmanned Aerial Systems

Inspection, surveying, agriculture, delivery

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Underwater Systems

Subsea inspection, ocean research, infrastructure

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Autonomous Ground Systems

Mobile robots, warehouse automation

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Complex Machinery (Expanding)

Wind turbines, industrial equipment

groups[WHO IT'S FOR]

Built for teams operating complex unmanned systems

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Operators

Troubleshoot issues in the field with clear explanations and action steps in minutes.

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engineering

Engineers

Spend less time on log analysis and more time improving system performance.

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Organizations

Reduce downtime and escalation cost while scaling fleets without added headcount.

[One system supports all roles.]

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Start Immediately

01

Self-Serve

Get started in minutes

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15

free analyses

Get Started
02

Enterprise

Custom integrations & support

recommended
Custom

Pricing with integrations

Contact Sales

timeline[VISION]

From diagnosis to operational intelligence

Start with fast root-cause analysis. Grow into on-machine autonomous reasoning and self-correction.

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Next-gen diagnostics

AVAILABLE TODAY
  • Root-cause analysis of failures and abnormal behavior
  • Parameter anomaly detection with evidence
  • Recommendations for correction
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Autonomy & Immunity

LONG-TERM
  • Prevention of expensive failures
  • On-machine autonomous reasoning and self-correction
  • Continuous self-learning and improvements