SIPSymposium is a diagnostic platform for VoIP and SIP engineers who need fast, deep, and accurate analysis. It reasons the way an expert does — over your specific data, not generic patterns.
SIPSymposium is an AI-powered VoIP diagnostic platform. You provide raw inputs — SIP traces, SDP exchanges, RTP/RTCP statistics, PCAP captures, logs, or plain-language scenario descriptions — and the platform performs structured, expert-level analysis across all of them.
It understands the SIP stack end-to-end: signaling correctness, RFC compliance, media negotiation, codec symmetry, encryption handshakes, NAT traversal, and timing behavior. When multiple endpoints are involved, it correlates findings between them — surfacing asymmetries and interaction failures that single-endpoint tools miss entirely.
SIPSymposium's diagnostic engine combines a state-of-the-art reasoning model with a domain-specific knowledge layer covering RFC 3261 and extensions, SDP, RTP/RTCP, SRTP and DTLS-SRTP, ICE/STUN/TURN, TLS signaling, NAT traversal, and codec negotiation across all common codecs. The engine is built and tuned specifically for VoIP and SIP diagnostics — not a general-purpose chatbot.
Every analysis goes through a hardened processing pipeline. The engine reasons over the full input — including PCAP-extracted data and uploaded network diagrams — and returns a structured report with severity-ranked findings, technical detail referencing specific headers and RFC sections, and actionable recommendations.
SIPSymposium runs a privacy-first architecture. PCAP files are parsed entirely in your browser — the raw binary never leaves your device. Only the extracted, text-form representation of relevant signaling data is sent for analysis. AI provider credentials and backend secrets are proxied through hardened server endpoints, never exposed to the client.
Network topology and call flow diagrams are processed alongside your trace data, allowing the analysis engine to interpret architectural context visually. Authentication, session handling, and analysis history use industry-standard practices with row-level security on every record.