Your Mission-Critical Enterprise Maintenance Needs—Fixed Now.
Enter your annual TR volume to see instant FTE impact
US customers expect faults fixed in production within 1 week—the IT vendor standard. Due to telco product complexity, testing burden, and interworking impacts, reality is closer to 1 month.
Transform telco product maintenance with AI that analyzes bugs across Erlang, C++, Java, and Python—accelerating not just fault fixing, but also packaging and testing workflows.
At 25,000 TRs per year, save $46M annually through AI-assisted bug resolution—reducing 40-hour investigations to 13.7 hours average.
MHWeb pre-analysis finds bugs already fixed in later versions—saving 36 hours per TR and eliminating redundant investigation work.
Analyze code across Erlang, C++, Java, Python—no specialized teams needed. AI understands context across your entire codebase.
Go beyond reactive issue reporting. Our AI agents plug into Jira, Confluence, and Cloud Logging to proactively identify root causes before customers report problems.
Automatic TR intake, bidirectional sync, and intelligent routing based on product, severity, and historical patterns.
Query fix history database to identify if bugs are already resolved in later software versions—instant resolution guidance.
Discover publicly leaked ALEX/CPISTORE docs and internal knowledge bases to enrich analysis context automatically.
Watch how GoApercu processes a real Ericsson trouble report in under 15 seconds
Trouble report automatically synced from Jira
AI checks Data Collection Guide requirements
Query internal database for known fixes
Deep code analysis across Erlang/C++ modules
Complete analysis synced back to Jira
Experience how our AI agents transform reactive maintenance into proactive bug prevention—integrated with your existing tools.
Schedule Executive BriefingDesigned for Ericsson-scale operations across BSS, RAN, HSS, and all product lines.
Realistic cost model based on 40-hour baseline per TR and enterprise-scale volumes.
Schedule a personalized demo to see how AI can transform your maintenance operations.
Trusted by Tier-1 Telcos
"Reduced TR resolution time by 68% in our first quarter. The AI's ability to analyze Erlang and C++ simultaneously eliminated weeks of cross-team coordination."
VP of Engineering
Tier-1 European Telco
"MHWeb pre-analysis alone saved us 180 FTEs worth of redundant investigation work. The platform paid for itself in three months through baseload reduction."
CTO
North American Telco Operator
"Finally meeting the 1-week customer expectation. AI-accelerated packaging and testing workflows cut our delivery cycle from 28 days to 9 days average."
Head of Maintenance Operations
Asia-Pacific Telco Provider