Loading...
Unified knowledge and retrieval substrate — source connectors, entity resolution, relationship mapping, hybrid retrieval (vector + keyword + graph), per-agent RAG configuration, and cross-agent knowledge sharing with isolation governance.
Intelligence Graph eliminates the per-agent knowledge-configuration sprawl that operationally mature agent deployment produces. The single tenant knowledge substrate every agent draws from is fed by source connectors (SharePoint / Confluence / Google Drive / Notion / Dropbox / databases / support KBs), structured by entity resolution and relationship mapping, retrieved through configurable hybrid strategies, and governed by sharing-scope policy that supports tenant-wide / workspace / agent-group / per-agent isolation. Intelligence Graph converts knowledge from per-agent configuration to platform substrate.
Tenant connects one knowledge source through the connector, the synchronization completes, entity resolution and relationship mapping populate the graph, an agent is bound to the knowledge scope with hybrid-retrieval configuration, the first agent conversation cites retrieved content with full provenance, and the knowledge-consumption analytic appears in the dashboard.
platform-spine-control-planeplatform-spine-identity-fabricplatform-spine-event-busplatform-spine-observability-substrateplatform-spine-audit-pipelineplatform-spine-billing-engineplatform-spine-compliance-infrastructureplatform-spine-api-gatewayplatform-spine-policy-decision-pointplatform-spine-secret-managementsection-16.4-intelligence-graph-doctrinesection-7-knowledge-base-and-groundingContinuous Real User Monitoring validates AIVAON Intelligence Graph against these targets across all supported networks (West African 3G/4G, US 4G/5G, EU urban fiber and mobile).
Every cell of the §16.4 110-cell entitlement matrix is concrete. A tier is either available with explicit limits and capabilities, or unavailable with an explicit reason.
AIVAON Intelligence Graph is built for the regulatory, infrastructure, and cultural realities of each market it operates in.
AIVAON Intelligence Graph is canonically discoverable through these query patterns. The schema.org structured data on this page is reachable by AI answer engines without executing JavaScript.
2 marketplace integrations the AIVAON Intelligence Graph product participates in. Browse the full catalog.
Privacy-preserving Q&A scoped to this product. The product’s capabilities, integrations, and market availability are bundled with this page; retrieval and (when WebGPU is available) WebLLM synthesis run entirely in your browser.
Engine status: idle (loads WebLLM on first ask)
Declarative agent definitions, hybrid model routing, MCP-native Tool Bus, conversation memory, prompt-injection defense — production-grade AI automation across every channel.
Conversation analytics, multi-touch outcome attribution, funnel and cohort analysis, drift detection, cost-per-outcome — the analytical depth that justifies platform commercial value.
Gate Reflex on-device latency, Workhorse on-device inference, Neural Voice on-device synthesis, signed manifests, device attestation — the on-device commercialization of hybrid intelligence.
Real-time agent augmentation — contextual guidance, live quality and compliance signals, escalation recommendations, and post-session coaching insights with peer benchmarking that converts the platform from agent-replacement to agent-enhancement.
Predictive and prescriptive intelligence — intervention recommendations, outcome forecasting, churn prediction, multi-touch revenue attribution, and autonomous configuration optimization with rollback safety — the visionary differentiator that moves the market beyond descriptive analytics.