AgenticOS
Compose AI systems — root agent, workers, actions, runtime — visually in Studio and ship to production as one unit. 100+ one-click connectors. Native channels. Human-in-the-loop. Powered by Origon's owned inference, storage, and voice infrastructure — no third-party APIs.

Continuity
Memory that compounds.
Powered by Origon's AI Datastore. A context graph — not a vector store bolted on. Agents develop better judgment as they work.
They collaborate with humans in real-time, learn from those decisions, and carry that knowledge forward — across weeks and months. Sessions distill automatically. Knowledge, documents, and policies accessible through graph-based retrieval during execution.
- Semantic similarity
- Recency
- Importance
- Access frequency
- Structural centrality
Observability
Trace any decision. Replay any session.
Three views into every interaction — transcript, execution log, and auto-generated summary. Built-in AI assistant that references full execution context to explain decisions, identify divergence, and surface anomalies. OpenTelemetry-compatible. Export to DataDog, Splunk, New Relic, or any system.

Analytics
Outcomes, not just uptime.
System-level metrics generated automatically from the live configuration — no manual instrumentation. Activity, usage, performance, and reliability tracked as components change. Scoring models and A/B testing for workflow variants.

Channels
Every channel. Native.
Voice and SIP — sub-300ms, built in-house. Web and mobile chat. Thread-aware email. SMS. WhatsApp. Messenger. Slack. Teams. API and SDK for custom integrations. All stateful. No third-party dependencies.
Connectors
100+ integrations. One click.
Bidirectional sync with enterprise systems — CRM, support, ITSM, DevOps, databases, business tools. Native MCP, webhooks, and custom API support. Configure once, available to every agent in the system.

Native Apps
AI-native applications. Built on AgenticOS.
Resolve
Customer support and IT helpdesk. AI-powered ticket routing, automated responses, and intelligent escalation. Agents handle routine queries while humans focus on complex issues. Live today.

Connect
Contact center where human agents and AI agents work side by side. Full human-in-the-loop — shared context, seamless handoff. Agents learn from human decisions. Humans learn from agent patterns.
