GPS-aware OBD insights and anomaly detection

CanoramIQ logs every drive—from ignition on to off—over Bluetooth. We pair OBD data with timestamps and GPS, then use Isolation Forest to flag outliers and generate KPIs so you can monitor engine health, fuel economy, and driver performance on a map.

  • OBD over Bluetooth
  • Drive-cycle aware logging
  • Map-centric analysis
  • Isolation Forest outliers
  • Cars
  • Trucks
  • Marine
  • Construction
ELM327 Bluetooth
Connected
Battery 13.8 V Stable
Device: ELM327-OBDII
92 Health
Fuel economy
6.8 L/100km
Coolant temp
89 °C
Driver score
92/100
Electrical system
13.8 V Stable
Injection health
Good
DPF health
Clean
iData Explorer Click a map location to view CAN metrics for that drive segment.
Fuel 6.8 L/100km
Coolant 89 °C
Score 92

How it works

Connect

Pair your OBD-II adapter over Bluetooth. CanoramIQ auto-detects ignition on/off to start and stop logging for each drive cycle.

Log

We record OBD PIDs with precise timestamps and GPS coordinates. Your raw data is exportable as CSV for every trip.

Detect

An Isolation Forest model highlights outliers across a large reference dataset to surface anomalies and patterns.

Decide

KPIs and metrics track engine health, fuel consumption, and driver performance. Tap any point on the map to inspect local signals.

Built for trusted diagnostics

Drive-cycle aware

Logs begin at ignition on and end at ignition off, ensuring clean trip segmentation and consistent analytics.

CSV you control

Export raw trip data as CSV, with timestamps and GPS coordinates—ready for your own analysis pipelines.

Map-first UX

Press any location along your route to review OBD values at that moment and compare against baselines.

Anomaly detection

Isolation Forest on a large reference dataset spots unusual behavior so you can intervene proactively.

Actionable KPIs

From fuel economy to thermal stability and throttle smoothness, track what matters for longevity and cost.

Privacy by design

Your data stays on your device unless you choose to export or sync. No surprise uploads.

Who it’s for

Cars

Daily health, fuel, and driving smoothness.

Trucks

Uptime, load‑aware KPIs, and route reliability.

Marine

Thermal and electrical stability at sea.

Construction

Idle time, duty cycles, maintenance windows.

Example KPIs and metrics

Fuel economy6.8 L/100km
Engine health92/100
Outlier rate0.7%
Throttle smoothness88/100
Coolant stability95/100
Idle varianceLow

Metrics vary by vehicle and dataset; outlier scoring via Isolation Forest adapts to your conditions.

Smart, continuously improving platform

Collects data each drive, syncs securely to the cloud, processes signals, and retrains models on a regular cadence to keep insights current, reliable, and state‑of‑the‑art. Cloud sync is optional and opt‑in.

Continuous collection

Drive‑cycle aware logging with timestamps and GPS; buffered on‑device if offline.

Secure cloud

Encrypted in transit and at rest. You control what syncs and when.

Signal processing

Normalization, detrending, feature extraction and quality checks at ingest.

Scheduled retraining

Model refresh on a weekly cadence with validation and drift monitoring.

Versioned models

Semantic versioning, rollback safety, and canary releases for reliability.

Up‑to‑date insights

KPIs adapt to your vehicle and region; outliers re‑score against fresh data.

Model‑free signals and rules

Coolant variance

Detects abnormal fluctuations beyond expected thermal inertia.

MAF drift

Tracks mass air flow deviations vs. RPM and throttle.

Battery sag

Monitors voltage dips under load and at idle.

Idle roughness

Flags RPM variance and misfire-like patterns at idle.

Throttle jerk

Highlights abrupt throttle changes vs. speed context.

Speed compliance

Estimates compliance vs. typical road speeds.

Be the first to try CanoramIQ

We're preparing an invite-only beta. Leave your email and we’ll notify you when your device and region are supported.

Frequently asked

Which OBD-II adapters are supported?

Bluetooth ELM327-compatible adapters with stable sampling rates. We'll publish a tested list for iOS and Android during beta.

How do you detect outliers?

We train an Isolation Forest model on a large reference dataset and adapt it with your vehicle’s statistics to flag unusual points and segments.

Where is my data stored?

On-device by default. CSV exports are under your control. Optional cloud sync will be opt-in.

Do you support diesel and hybrids?

Yes, but available PIDs vary by make/model. During beta we’ll focus on the most common signals and expand coverage.