Your car generates 1.5 million data points per drive. We're the ones doing the math.

CanoramIQ turns the phone in your pocket into a 100Hz data acquisition unit—fusing OBD-II, GPS, and a self-zeroing inertial platform into a single ground-truth model of your vehicle. No spec sheets, no manual setup: we solve the physics live, then surface the anomalies your ECU won't admit to for another three weeks.

  • 100Hz inertial platform
  • Frame-of-reference auto-zeroing
  • Recursive least squares mass & drag
  • Edge-AI predictive diagnostics
  • Fuel-trim & volumetric efficiency learning
  • Fading comet-trail friction circle
  • 60fps decoupled render thread
  • On-device inference
  • OBD-II over Bluetooth
  • Drive-cycle aware logging
  • GPS-tagged telemetry
  • Weight-transfer visualization
  • Multi-vehicle fleet view
  • Privacy-first & offline-capable
  • 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
Process

From raw bus traffic to ground truth

Acquire

Pair any OBD-II adapter over Bluetooth and CanoramIQ auto-detects ignition on/off, segmenting every drive cycle cleanly. Phone IMU and GPS spin up alongside the bus at up to 100Hz.

Solve

We re-base the inertial platform to the chassis, then run recursive least squares to solve your vehicle's actual mass and aerodynamic drag—live, with no spec sheets to enter. Raw data stays exportable as CSV.

Predict

An on-device model learns the volumetric efficiency, fuel-trim bias, and thermal inertia of your exact engine, flagging drift weeks before the ECU throws a fault code.

Decide

Scrub to any point on the map and read every channel at that instant in motorsport tabular typography—weight transfer, thermal stability, throttle discipline, all in context.

Capabilities

Built like a data acquisition system, not a dashboard

Drive-cycle aware

Logging arms at ignition-on and disarms at ignition-off, giving every analytic a clean, consistent window—no smeared trip boundaries.

CSV you control

Export raw, timestamped, GPS-tagged channels per trip—ready to drop straight into your own analysis pipeline or notebook.

60fps telemetry UX

The render thread is decoupled from the data pipeline, so scrubbing any point on your route stays buttery-smooth no matter how hard the sensors are working.

Predictive, not reactive

On-device ML learns your engine's normal and flags drift—lagging wastegate, creeping fuel trim—weeks before a fault code appears.

Solved physics KPIs

Live mass and drag estimates feed true fuel-waste attribution, weight transfer, and thermal stability—metrics derived from your car, not a spec table.

Privacy by design

Inference runs locally. Your data stays on device unless you explicitly 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.

Telemetry

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; the on-device model re-scores anomalies against your engine's learned baseline, not a generic threshold.

SAE J1939 Heavy‑duty CAN 250/500 kbit/s
ISO 15765‑4 CAN‑based OBD‑II diagnostic transport
ISO 16750 Road vehicle electrical system requirements
SAE J1979 OBD‑II on‑board diagnostic services

Real drive report — straight from the app

This is an actual report generated from a real drive. CanoramIQ connected to the vehicle over Bluetooth, recorded thousands of data points in the background, and automatically produced a full health summary — no wires, no workshop visit, no technical knowledge needed.

Session duration
131 s
Data points recorded
4,351
Avg / Max speed
60.7 km/h / 117 km/h
Peak RPM
6,080 rpm
Distance covered
2.20 km
Operating mix
Cruise
53.6%
High load
31.5%
Low speed
12.3%
Other
2.6%

How did this drive score?

CanoramIQ breaks every drive into key health areas. Each score runs from 0 to 100 — the higher the better. Scores are compared against a large reference dataset so you always know where you stand.

Engine health Watch
69.6Fuel mix and engine smoothness are pulling the score down
Throttle coupling Excellent
96.0Your foot and the engine are perfectly in sync
Boost control Needs Attention
59.6Engine took longer than expected to reach full power
AFR control Needs Attention
21.4Engine is running slightly rich — fuel mix needs attention
Knock safety Excellent
94.1Engine knock detected but stayed comfortably within safe limits
Fuel pressure Watch
62.3Fuel delivery showed occasional drops — worth keeping an eye on
Fuel trim bias Excellent
90.3Long-term fuel corrections are well balanced
Fuel trim stability Good
88.3Fuel adjustments were steady and consistent throughout the drive
Combustion stability Needs Attention
0.0Engine speed was irregular — could point to rough running or a misfire
Transient response Good
87.4Engine responded quickly and smoothly when accelerating
Electrical stability Excellent
100.0Battery and charging system were rock solid the entire drive
Idle stability Needs Attention
40.0No idle time recorded — an unusual pattern was flagged at low engine speed

What your vehicle is telling you

Slow to reach full power

During hard acceleration the engine was noticeably slow to build full power, and in some cases overshot the target. This is something a mechanic can investigate — it often comes down to a boost sensor or a small solenoid that controls how quickly power ramps up.

Fuel mix needs a tune-up

The engine was running slightly richer than optimal — meaning it was using a touch more fuel than necessary. This is a known sign of a sensor that may be ageing or injectors that need a clean. Left unchecked it can affect fuel economy and emissions.

Electrical system — rock solid

The battery and alternator performed flawlessly throughout the entire drive. Voltage stayed steady the whole time with no dips or spikes detected. Your charging system is in excellent health — no action needed.

Engine knock — nothing to worry about

A small number of knock events were detected but the engine managed them automatically and safely each time. This is normal behaviour for a performance engine under load. No signs of any harmful or sustained knock — you're good to go.

Engine running rough — worth checking

Engine speed was more erratic than expected during this drive. This kind of pattern can point to a cylinder not firing cleanly, a worn spark plug, or a minor fuelling issue. CanoramIQ flagged it automatically — a quick workshop check is recommended.

Pedal response — spot on

Every time the driver pressed the accelerator, the engine responded instantly and precisely. There was no delay or lag between intention and power delivery. This is a great sign that the throttle and engine management system are working in perfect harmony.

Excellent 90–100
Good 75–89
Watch 60–74
Needs Attention <60
ROI

The same physics that finds lap time finds margin

Predictive diagnostics don't care whether it's a track car or a 200-unit fleet—it's the same anomaly math, scaled. Catch component drift before it becomes downtime, and optimize load against live-solved drag and efficiency, with clear drive-cycle context behind every number.

Maintenance
0%

Forecasting failures from learned baselines—not waiting for fault codes—cuts unnecessary repairs and prevents cascade failures.

Fuel efficiency
0%

Physics-based fuel-waste attribution pinpoints exactly where energy is lost—harsh braking, cornering load, route choice—so you can tighten it.

Downtime
0%

Anomalies surface weeks ahead with map-based context, turning roadside failures into scheduled service windows.

Prioritize high‑risk trips and components.
Plan service windows with evidence, not guesswork.
Improve resale value with clean, exportable history.

Estimates are directional and vary by vehicle class, region, and usage patterns.

Architecture

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.

Rule engine

Universal physics engine — zero setup, full truth

Competitors make you hand-enter curb weight and a drag coefficient you'll never find. CanoramIQ refuses to trust spec sheets—using recursive least squares across coast-down and acceleration phases, it solves your vehicle's actual mass and aerodynamic drag, live and continuously, as cargo and fuel load change. Those solved values anchor a deterministic rule layer that runs alongside the learned model:

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.

Inertial Platform

100Hz 3D frame-of-reference auto-zeroing

Most apps read your phone's raw accelerometer—so the moment it sits crooked on an AC vent, the data is garbage. CanoramIQ applies a full frame-of-reference transformation matrix that mathematically re-bases the sensor to the chassis, isolating true-vertical roll, pitch, and lateral G at 100Hz. Mount it sideways, upside down, wherever—the math finds the horizon for you, with no extra hardware.

Phone IMU
OBD-II
GPS
Sensor Fusion
Enhanced KPIs

Accelerometer

Longitudinal & lateral G-force

0.38 g
  • Braking intensity — hard-brake events per km
  • Acceleration smoothness — jerk profile scoring
  • Road surface quality — vertical vibration RMS

Gyroscope

Rotational dynamics

18.2 °/s
  • Cornering G-force — lateral load in turns
  • Body roll index — suspension response quality
  • Yaw rate stability — oversteer / understeer detection

Magnetometer

Heading & dead reckoning

247°
  • GPS-denied navigation — tunnels and parking garages
  • Heading consistency — lane-change frequency scoring
  • Route fidelity — smooth heading vs. erratic corrections

What the inertial platform unlocks

With the sensor re-based to true chassis axes, CanoramIQ derives motorsport-grade KPIs that no single data source—CAN bus, GPS, or raw IMU—can produce alone.

Driver behaviour score

Fuses braking G-force, cornering load, throttle jerk, and speed context into a single 0–100 score that adapts to road type and conditions.

Suspension health index

Vertical acceleration spectra reveal worn dampers, broken springs, or tyre pressure imbalances — even before the driver feels it.

Real-time motion state

Determines whether the vehicle is accelerating, cruising, braking, cornering, or idling — used to contextualize every OBD signal.

Road quality mapping

GPS-tagged vibration intensity creates a heatmap of road roughness along your routes — useful for fleet route planning and vehicle wear estimation.

Anomaly cross-validation

When Isolation Forest flags an OBD outlier, IMU data confirms whether it correlates with a physical event (pothole, hard brake) or a true sensor fault.

Fuel waste attribution

Combines throttle position, speed, and lateral G to attribute excess fuel consumption to specific causes: harsh braking, aggressive cornering, or poor route choice.

No extra hardware. Every modern smartphone already has an IMU. CanoramIQ activates it automatically during each drive session and processes all sensor data on-device for privacy.

We're handing the math to a small group first

CanoramIQ is in closed beta—onboarding drivers and operators who'd rather see the 400ms anomaly than wait for the tow truck. Bring any OBD-II vehicle; the physics engine handles the rest. Leave your email and we'll notify you when your device and region are supported.

Questions? Email us at support@canoramiq.com.

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.

How does IMU sensor fusion work?

Your phone's accelerometer, gyroscope, and magnetometer run alongside OBD logging. CanoramIQ time-aligns all streams and uses sensor fusion algorithms to compute KPIs like braking intensity, cornering force, and road quality — entirely on-device.

Does IMU data drain my battery?

Minimal impact. The IMU sensors are low-power hardware that modern phones keep active anyway. CanoramIQ samples at a tuned rate balanced for accuracy and efficiency.

How can I get in touch?

For questions, partnerships, or support, email us at support@canoramiq.com.