Debug

Explore your fleet. Understand what went wrong.

Ask questions about your devices, running models, and hardware. Investigate failed tasks, low model confidence, and motor issues—all in one conversation.

Which robots have the lowest task success?

Fleet

14,203 records

Device

Robot #1311

running model

VLA

model version

v1.2.6

task success

75%

hardware status

Hybrid

last update

24ms

Logs

On

Which robots have the lowest task success?

Fleet

14,203 records

Device

Robot #1311

running model

VLA

model version

v1.2.6

task success

75%

hardware status

Hybrid

last update

24ms

Logs

On

Explore every device and model.

Find out what each machine is running, how it’s performing, and where problems appear. Narrow your investigation by device, model version, hardware, or task.

Why is Robot-002 missing its target?

Motor response delays appear in its failed attempts. Model confidence remains similar to successful runs.

1

Show the motor logs

2

Compare with similar robots.

3

When did this start?

4

Ask a different question

Why is Robot-002 missing its target?

Motor response delays appear in its failed attempts. Model confidence remains similar to successful runs.

1

Show the motor logs

2

Compare with similar robots.

3

When did this start?

4

Ask a different question

Follow the investigation.

Start with a failed task and ask what changed. Explore model confidence, sensor inputs, motor responses, and recent updates with suggested follow-up questions.

Inspect evidence

Model traces

Inspect inputs and outputs

Device logs

Review software and system events

Hardware signals

xplore sensor readings and motor responses

Inspect evidence

Model traces

Inspect inputs and outputs

Device logs

Review software and system events

Hardware signals

xplore sensor readings and motor responses

See the evidence behind the answer.

Open the model traces, device logs, and hardware signals behind each finding. See what happened and investigate the possible causes.

Chat with your Physical AI fleet

Thinking

3 Results

Analyze

Compare

Monitor

Debug

Scanning Salesforce

Chat with your Physical AI fleet

Analyze

Compare

Monitor

Scanning Salesforce

Chat with your Physical AI fleet

Thinking

3 Results

Analyze

Compare

Monitor

Debug

Scanning Salesforce

From a fleet-wide question
to a specific machine, model, or motor.

Ask in plain language

Ask which devices are struggling, what models they run, or what changed after an update.

Connect models and hardware

Investigate how model decisions relate to camera inputs, sensor readings, motor responses, and software events.

Explore what changed

Focus on a failed task, a recent deployment, or a specific time window to reconstruct what happened.

Inspect running models

Explore model versions, confidence signals, inputs, outputs, and inference latency on each device.

Compare across your fleet

Compare affected machines with similar devices running the same task to uncover differences worth investigating.

Debug remotely

Inspect device logs, system state, and model traces without being next to the machine.

Your intelligence fleet,
finally connected