Stop guessing at field failures. See what really happened.

Embedded logging and crash diagnostics built for IoT systems. Capture the context before failure, resolve bugs faster, and eliminate blind debugging.

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Real logs. Real context. Right when you need it.

uLogger captures the full picture: before, during, and after a crash. Your team stops guessing and starts fixing.

Sound familiar?

✕ Devices crash in the field with no warning
✕ Logs are incomplete, missing, or arrive too late
✕ Hard faults give you no context on what led to them
✕ "Can't reproduce" stalls your team for days

Traditional logging wasn't built for distributed IoT fleets. uLogger was.

What makes uLogger different

Pre-Trigger Logging

Most loggers only record after something goes wrong. uLogger continuously buffers events in a circular ring, so when a fault is triggered, the full history leading up to it is preserved automatically.

Timeline ──────────────────────────────▶

                                [event]──[event]──[event]──[FAULT]
                            
                                ◀─────── captured ──────────│
                            
  Full pre-fault context saved

Automatic Crash Capture

When a hard fault, stack overflow, or watchdog reset fires, uLogger intercepts it: capturing the register state, call stack, and buffered log history, then queuing everything for transmission when connectivity resumes.

▸ Catches HardFault, Watchdogs, BusFault & more
▸ Stores context to persistent flash across reboots
▸ No manual instrumentation required

AI-Powered Bug Resolution

From crash to fix, faster than your next standup

With full pre-fault context already captured, uLogger feeds structured crash data directly into AI tooling. It analyzes the call stack, buffered events, and register state to understand what broke and why, then automatically opens a pull request with a proposed fix.

No more copy-pasting logs into chat windows. No more describing the problem from memory. The context is already there and the AI gets straight to work.

1 Crash captured with full pre-fault context

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2 AI analyzes call stack, events, and register state

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3 Pull request opened with a proposed fix

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✓ Bug resolved, fleet updated

Engineering outcomes, not just features

What teams actually achieve after deploying uLogger in production:

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Reduce MTTR

Fix field issues in hours, not weeks. You have the context that matters.

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Cut bandwidth costs up to 90%

Compressed, event-driven logging sends only what's needed, not a firehose of raw data.

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See fleet-wide failure patterns

Aggregate insights across thousands of devices to spot systemic issues before they compound.

✓

Fix issues before customers notice

Proactive alerts on anomalies mean your team is already working the problem before a ticket is filed.

Who built this

Built by engineers who've deployed 1M+ devices in production IoT environments and spent years debugging them without the right tools.

Field failures will happen.
Blind debugging doesn't have to.

Give your team the visibility to find root cause fast, on every device, every time.