inQuire | QiTASC

Multi-agent AI platform

inQuire is a multi-agent AI platform that combines artificial intelligence with comprehensive telecommunications expertise. The AI in inQuire not only automates complex tasks but also supports operations autonomously 24/7. No matter how complex the task, it delivers technically precise results. This means you can use it for operations such as anomaly detection, network monitoring or customer care.

AI plus telecom expertise

inQuire’s speciality is its cutting-edge artificial intelligence, trained with the expert knowledge of test automation and the needs of telecom network operators. Apart from the telecom expertise that forms its data pool, it gathers information from the internet, filters and combines it, and draws conclusions relevant to the given tasks.

AI assistants based on inQuire deliver more accurate results for telecom-related requests than comparable AI tools.

Additional team member

inQuire is an autonomous AI assistant that supports your team with additional skills. It provides project users with filtered and processed information, analyses and presents data in the preferred format and takes over repetitive tasks.

intaQt framework interaction

All software tools in the intaQt framework interact with each other. inQuire is no exception, interacting with cheQ and CDR-linQ.

Error recognition

Continuous monitoring of various data sources (e.g. call detail records, SIP or RAN traces, 3GPP protocol information) means deviations and error situations can be detected quickly. Its automated and autonomous operation means any anomalies are reported immediately.

Root cause analysis (RCA)

AI-supported correlation and analysis logic is used to determine the true causes of faults, performance drops or protocol violations – far beyond traditional rule-based approaches.

Proactive recommendations for action

As an AI agent, inQuire learns from every result it provides and adds it to its data pool. Any subsequent results can be based on this information. By recognizing patterns and comparing them with a central knowledge base, it provides operational teams with targeted support in troubleshooting.

Improve customer support

Automated analyses enable not only network experts but also customer care agents to access in-depth information, resolving customer concerns more quickly. An AI assistant in customer care improves response time and support quality. When a customer calls, the AI uses the phone number to research the customer’s history within seconds. The support team member is presented with the filtered and prepared customer information before they even pick up the phone. This way, customer interaction is far more personalized, leading to greater customer satisfaction and easier work for the support staff.