Drive-cycle aware
Logging arms at ignition-on and disarms at ignition-off, giving every analytic a clean, consistent window—no smeared trip boundaries.
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.
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.
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.
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.
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.
Logging arms at ignition-on and disarms at ignition-off, giving every analytic a clean, consistent window—no smeared trip boundaries.
Export raw, timestamped, GPS-tagged channels per trip—ready to drop straight into your own analysis pipeline or notebook.
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.
On-device ML learns your engine's normal and flags drift—lagging wastegate, creeping fuel trim—weeks before a fault code appears.
Live mass and drag estimates feed true fuel-waste attribution, weight transfer, and thermal stability—metrics derived from your car, not a spec table.
Inference runs locally. Your data stays on device unless you explicitly export or sync—no surprise uploads.
Daily health, fuel, and driving smoothness.
Uptime, load‑aware KPIs, and route reliability.
Thermal and electrical stability at sea.
Idle time, duty cycles, maintenance windows.
Metrics vary by vehicle and dataset; the on-device model re-scores anomalies against your engine's learned baseline, not a generic threshold.
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.
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.
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.
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.
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.
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 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.
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.
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.
Forecasting failures from learned baselines—not waiting for fault codes—cuts unnecessary repairs and prevents cascade failures.
Physics-based fuel-waste attribution pinpoints exactly where energy is lost—harsh braking, cornering load, route choice—so you can tighten it.
Anomalies surface weeks ahead with map-based context, turning roadside failures into scheduled service windows.
Estimates are directional and vary by vehicle class, region, and usage patterns.
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.
Drive‑cycle aware logging with timestamps and GPS; buffered on‑device if offline.
Encrypted in transit and at rest. You control what syncs and when.
Normalization, detrending, feature extraction and quality checks at ingest.
Model refresh on a weekly cadence with validation and drift monitoring.
Semantic versioning, rollback safety, and canary releases for reliability.
KPIs adapt to your vehicle and region; outliers re‑score against fresh data.
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:
Detects abnormal fluctuations beyond expected thermal inertia.
Tracks mass air flow deviations vs. RPM and throttle.
Monitors voltage dips under load and at idle.
Flags RPM variance and misfire-like patterns at idle.
Highlights abrupt throttle changes vs. speed context.
Estimates compliance vs. typical road speeds.
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.
Longitudinal & lateral G-force
Rotational dynamics
Heading & dead reckoning
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.
Fuses braking G-force, cornering load, throttle jerk, and speed context into a single 0–100 score that adapts to road type and conditions.
Vertical acceleration spectra reveal worn dampers, broken springs, or tyre pressure imbalances — even before the driver feels it.
Determines whether the vehicle is accelerating, cruising, braking, cornering, or idling — used to contextualize every OBD signal.
GPS-tagged vibration intensity creates a heatmap of road roughness along your routes — useful for fleet route planning and vehicle wear estimation.
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.
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.
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.
Bluetooth ELM327-compatible adapters with stable sampling rates. We'll publish a tested list for iOS and Android during beta.
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.
On-device by default. CSV exports are under your control. Optional cloud sync will be opt-in.
Yes, but available PIDs vary by make/model. During beta we’ll focus on the most common signals and expand coverage.
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.
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.
For questions, partnerships, or support, email us at support@canoramiq.com.