SignalBrain Telecom is an edge-native AI engine that parses live UE trace files, detects anomalies in real-time, and delivers LLM-synthesized operational narratives. Running entirely on your hardware. Zero data exfiltration.
Engineered for Tier-1 Telecom Operators parsing millions of telemetry points per second.
A localized multi-agent swarm analyzing RF, Core, and overarching patterns in real-time.
From raw radio traces to executive-grade AI insight — entirely on your silicon.
Ingests raw UE trace files (CSV, XLSX, PCAP) directly from nodes.
FastAPI + Pandas parser identifies 3GPP event codes and handover links.
On-premise LLMs synthesize the anomalies into actionable narratives.
Engineers view real-time SSE ticket feeds with diagnostic details.
Engineered securely out-of-the-box for highly regulated mobile network operators.
Seamlessly streams Excel, CSV, and PCAP logs with zero UI lag via Server-Sent Events (SSE). Replaces slow, hardcoded regex parsers.
Detects HandoverPreparationFailure and RLF cascades. Auto-escalates critical events to the NOC queue with severity classification.
Every trace event is synthesized by Llama 3 (70B) into a natural-language operational log. Zero alert fatigue for NOC staff.
"Telecom cell-site operations require absolute compliance. By deploying domain-finetuned AI to the edge, we achieve Level 4 Network Autonomy with zero commercial API dependency."
Every architectural decision optimized for data sovereignty and auditable compliance.
The topological identity engine is domain-agnostic. H₀ persistent homology works on any structured telemetry.
LiDAR → persistence processing. O(1) SceneMemory.
Price ticks → confidence cuts. O(1) RegimeMemory.
CT/ECG topology → immediate clinical acuity signal.
SAR/SIGINT streams → multi-INT threat classification.
RAN X2AP/S1AP traces → noc insight log.
Request pilot access directly to our executive team.
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