Your vehicle generates rich sensor data on every drive. MisfireAI reads it, scores it, and tells you what it means — before a warning light ever comes on.
OBD2 was designed for emissions monitoring, not predictive diagnostics. Most tools surface fault codes after damage is done — leaving owners dependent on mechanics with no way to verify the diagnosis.
Every 1996+ vehicle continuously broadcasts dozens of live sensor readings. Most owners never see them, and tools that do show them offer no context.
A fault code means the ECM already confirmed a problem. The sensor trends that led there — fuel trims creeping over weeks, catalyst efficiency declining — go unnoticed.
When a mechanic quotes a repair, there's no accessible tool for the average owner to verify the diagnosis against their own vehicle's data.
MisfireAI follows a structured signal pipeline — from raw OBD2 data to a plain-language diagnostic assessment with human approval at every high-stakes step.
Parse OBD2 log files from any source — Car Scanner, MHD, Techstream, or raw CSV. Normalize to a common PID schema regardless of format.
Decode the VIN via NHTSA to identify the exact vehicle. Look up open recalls and complaints. Add vehicle-specific context before analysis.
Score each vehicle system — fueling, cooling, ignition, catalyst — on a 0–1 scale. Separate sustained anomalies from transient noise using four severity tiers.
GPT-4o generates a plain-language diagnostic assessment. High-stakes repair briefs require explicit owner approval before any action is taken.
When the pipeline flags a high-severity finding, it doesn't act automatically. The vehicle owner receives an email with the full assessment, system health scores, and any active fault codes. They approve or reject. The decision — and its timestamp — is logged regardless of outcome. No repair recommendation is forwarded or stored without an explicit owner action on record.
Works on any 1996+ US vehicle with a standard OBD2 port.
Fueling, cooling, ignition, and catalyst each scored 0–1. See exactly which system is degrading and how far it's drifted from normal.
Four-tier anomaly classification separates a single transient spike from a sustained pattern developing across a drive cycle.
Vehicle identity decoded via NHTSA. Open recalls and complaints checked automatically. Analysis adapts to the specific make, model, and engine.
Every pipeline stage traced in Phoenix/Arize. Every tool call, every score, every approval decision logged with timestamps and attributes.
Accepts log files from Car Scanner, MHD, Toyota Techstream, carOBD, and generic CSV formats. Auto-detects source format and normalizes column names.
Clone the repo, add your API keys, run the pipeline. Sample data included. No proprietary infrastructure required to get started.
Pipeline validated against log files from multiple makes, models, and engine types.
Interested in MisfireAI for your vehicle, fleet, or shop? Reach out directly.
misfire@datronex.net