inQire | QiTASC

Multi-agent AI platform

inQire is a multi-agent AI platform for anomaly detection. It combines cutting-edge artificial intelligence with deep telecommunications expertise to automate complex tasks. inQire operates autonomously 24/7 within a company—from real-time network monitoring to customer care—delivering technically precise results.

Telecommunication expertise

The multi-agent AI platform inQire was developed by QiTASC. It was trained with expert knowledge in test automation and the needs of telecom network operators. In addition to 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.

That said, tools like AI assistants based on inQire provide more accurate results for telecom-related requests than comparable AI tools.

Additional team member

inQire is an autonomous AI assistant that supports your team with additional skills. It delivers 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 inQire framework interact with each other. inQire is no exception, interacting with cheQ and CDR-linQ.

Early stage recognition

With the help of continuous monitoring of various data sources (e.g., call detail records, SIP or RAN traces, 3GPP protocol information), deviations and error situations can be detected quickly. Operating automatically and autonomously, any anomalies are reported immediately.

Root Cause Analysis (RCA)

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

Proactive recommendations

As an AI agent, inQire learns from every result it provides and adds it to its data pool. Any following results can be based on this information. By recognizing patterns and comparing them with a central knowledge base, operational teams receive 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 enhances 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 personalised, leading to higher customer satisfaction and easier work for the support staff.