Parvion deploys inside your environment and consumes a passive copy of call media. It never sits in the signaling or media path of a live call, and cannot disrupt call flow. All inference runs locally; there is no routine export of raw audio or transcripts.
Media capture → speech processing → behavioral analysis → call-state tracking → risk decision → action.
A passive copy of the call media is captured — never in the live path.
Audio is processed into a form the analysis engine can reason over.
Detects manipulation tactics in real time: authority, urgency, isolation, procedure-bypass, extraction pressure, false reassurance.
Maintains context across the full dialogue — risk is scored on the conversation's trajectory, not isolated phrases.
Applies customer-owned, policy-aware scoring per segment.
Agent prompt, supervisor alert, or audit-log event — per pilot scope.
| Priority | Option | Description |
|---|---|---|
| Primary | SIPREC / media fork | Standards-based session recording (RFC 7865/7866) or media fork at the SBC or IP-PBX. Vendor-neutral, passive, zero impact on live traffic. |
| Secondary | SBC / PBX API | Direct integration with session border controllers or IP-PBX platforms where SIPREC is not available. |
| Fallback | CCaaS / recording API | Real-time media streams from cloud contact-center platforms or compliance-recording infrastructure. |
Current proof: a working POC running on a live telephony pipeline — real telephony channels, production-grade processing path — with live and replay modes.
Sized to concurrent-call volume; specification provided at scoping.
Warn mode adds a lightweight prompt surface — desktop notifier, wallboard, or supervisor dashboard, your choice.
The capture fork is passive and reversible — it can be disabled at any time without affecting live calls.
Detection currently operates in English, Hebrew, and Russian. Additional languages are validated per pilot geography before any claim is made for them.
All audio analysis and inference run inside your environment — on-premise or private cloud.
Every alert and action is logged with model and policy version, supporting internal review and regulator response.
Local processing — all audio analysis and inference run inside your environment.
No routine export — raw audio and full transcripts are not exported from your environment in normal operation.
Minimal retention — the system retains risk events, scores, and audit metadata; retention windows for any audio/transcript artifacts are set by your policy.
Customer-owned policy — detection thresholds, escalation rules, reviewer access, and retention are configured and owned by you.
Parvion's architecture is built for data minimization and local control, but final regulatory compliance (e.g., GDPR, UK GDPR, sectoral rules) depends on the specific jurisdiction, deployment design, your policies, disclosures, and counsel review. We support that review with full technical documentation, data-flow diagrams, and a DPIA input pack, and we adapt deployment configuration to your legal requirements. We deliberately do not claim blanket compliance.