AugurIQ
AI-Powered Diagnostics

Understand Why Drones
Crash

AugurIQ reads your flight-controller log and reconstructs the root cause of any crash in seconds. No more guesswork. Just a plain-text answer.

↳Early access opens Q2 · no credit card required
Motor RPM anomaly
Battery voltage drop
ESC overheating
GPS signal loss
◈ Crash Report · N-2847
Time14:23:07
FailureESC #3
Confidence92%
StatusCRITICAL
// Process

How It Works

01 — Upload
Drop your flight log
Drag in a .bin, .ulg, or .tlog from PX4, ArduPilot, or Betaflight. Everything stays private.
02 — Analyze
AugurIQ reads it end-to-end
Signals are cross-correlated against thousands of known crash patterns in seconds.
03 — Diagnose
Get a plain-text answer
A one-paragraph explanation with evidence, confidence score, and what to fix.
// The Challenge

Drone Crashes Are
Hard to Diagnose

A single crash can involve dozens of interacting signals — IMU, GPS, ESC, battery, radio, motor mixer. The logs are complex, the telemetry streams are overwhelming, and the root cause is almost always guesswork.

// Our Approach

AI That Explains
Drone Failures

AugurIQ pairs a flight-dynamics model with a language model trained on real crash data. It reconstructs the root cause of a failure the same way a seasoned pilot would — and writes an instant plain-text diagnosis you can send to a teammate, a customer, or an insurer.

// Roadmap

What We're Building

→Log ingestion for PX4, ArduPilot, BetaflightQ2 2026
→Plain-text root-cause reports with confidence scoringQ2 2026
→Team workspace — shared crash archive and searchQ3 2026
→API for fleet-ops platforms and insurance workflowsQ4 2026
// Currently analyzing real drone crash data to train the system.
// Early Access

Stop Guessing
Why Drones Crash

Join the waitlist to be the first pilots, engineers, and fleet operators to try AugurIQ.