DiagAI: AI Automotive Diagnostics — The Senior Engineer in the Machine
A mature, Multi-Agent System for expert diagnostics. Moving beyond simple chat into a coordinated system of specialists, mirroring an entire engineering department.
* The Diagnostic & Calibration Brain
Our specialized architecture features a Diagnostic Brain and a Calibration Brain, evaluating advanced formulas like BSFC and BMEP natively through a collaborative swarm of expert agents.
MisfireAgent
Precision combustion analysis and cylinder-level anomaly detection.
FuelAgent
Efficiency optimization, long-term fuel trim, and injector health monitoring.
WLTPAgent
Emissions compliance modeling and regulatory drive-cycle simulation.
Signal Intelligence &
Alias Matching
Indexing exactly 1,817 active signals and evaluating 155 discrete alias patterns. DiagAI connects generic terms to OEM-specific and ETAS proprietary labels using Exact, Normalized, and Fuzzy partial-word logic.
- Cross-OEM matching (J1939, CAN, LIN)
- Automated signal discovery engine
- Sub-millisecond resolution tracking
Agent Capability Matrix
Each agent is purpose-built for a specific diagnostic domain, running against your MDF/MF4 signal data and returning structured findings in context.
| Agent | Diagnostic Domain | Protocol Coverage |
|---|---|---|
| MisfireAgent | Combustion analysis, cylinder-level anomaly detection | UDS, OBD-II |
| FuelAgent | BSFC / BMEP evaluation, long-term fuel trim, injector health | OBD-II, J1939 |
| WLTPAgent | Emissions compliance, regulatory drive-cycle simulation | OBD-II, CAN |
| DFCAgent | Fault code interpretation, DTCs, OEM-specific DFC logic | ISO 14229 UDS |
| IUPRAgent | OBD-II monitor readiness, in-use performance ratio | OBD-II |
| + 3 more agents | Gear hunting, drivability, start/warm-up | CAN, LIN |
Sophisticated reasoning without compromising security. DiagAI orchestrates workloads between cloud intelligence and on-premise privacy nodes.
Neural Reasoner (Cloud)
Handles high-level heuristic analysis, complex diagnostic theory matching, and OEM manual cross-referencing. Global context for rare fault patterns.
Local Privacy Node (On-Prem)
Processes sensitive telemetry data, proprietary VIN logs, and trade-secret calibration files entirely on local infrastructure. Zero data leakage.
Ready to augment
your diagnostic
lab?
Deploy DiagAI in your facility and start seeing through the complexity of modern vehicle telemetry.
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Frequently asked questions
What specialized AI agents does DiagAI include?expand_more
DiagAI includes 8 specialized agents: MisfireAgent for combustion analysis, FuelAgent for BSFC and BMEP evaluation, WLTPAgent for emissions cycle analysis, DFCAgent for fault code interpretation, IUPRAgent for OBD-II monitor readiness, GearAgent for gear-hunting detection, DrivabilityAgent, and StartWarmupAgent. Each agent operates on MDF/MF4 signal data and returns structured findings.
Can DiagAI run completely on-premise without sending data to the cloud?expand_more
Yes. DiagAI supports fully on-premise deployment via LM Studio or Ollama-compatible local LLMs such as DeepSeek. Per-OEM RAG isolation means each organization's data and documentation stays in a separate local index. No data leaves your network unless you explicitly configure a cloud inference endpoint.
What vehicle communication protocols does DiagAI support?expand_more
DiagAI supports ISO 14229 (UDS), OBD-II, SAE J1939, CAN, and LIN. It parses diagnostic trouble codes and live signal data across these protocols, then cross-references them with MDF measurement signals for root-cause analysis.
Does DiagAI require an internet connection to function?expand_more
No. DiagAI is designed for offline-first operation. All signal parsing, agent inference, and RAG retrieval run locally. An internet connection is only needed if you configure an external cloud LLM endpoint, which is optional.