ProVER is an Automotive Software solution designed to support anomaly detection for test engineers supervising ECUs and networked electronic systems in complex vehicles and platforms. It addresses the high data volumes and software intensity of modern automotive architectures by analyzing ECU data from distributed in-vehicle networks. The system processes traces both offline, using established automotive data logger file formats or private cloud data, and online through live data streams from protocols such as CAN, LIN, FlexRay, Ethernet, and UART.

By correlating and time-stamping ECU messages, ProVER helps test engineers diagnose anomalies more efficiently in laboratory environments and in the field, reducing the effort required for test engineering and focusing attention on relevant irregularities instead of large data logs. The solution offers capabilities for trend monitoring and prognostic analysis via graphical user interfaces, along with automatic anomaly detection and visualization of anomaly sources, routing tables, and performance indicators. Additional functions include a script editor for rule definition, live monitoring of bi-directional ECU data, and integration with existing data recording systems.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch Prover mention score
POST /v3/content_analysis/summary
{
  "keyword": "Prover",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}