- Realtime voice
- Grounded answers
- Human handoff
Customer calls.ARIA thinks.Humans join only when needed.
Realtime voice agents that answer from your knowledge, score their own confidence and hand the call to a person, with the full conversation, the moment it matters. Built on Azure and OpenAI.
No sign-up. A sample experience with no real accounts or policies.
Built on
- Self-hosted LiveKit
- OpenAI Realtime
- Azure AI Search
- Azure Cosmos DB
- Azure Monitor
See exactly how ARIA thinks
One demo call, replayed from the first hello to the human handoff. Every phase, search and decision is on screen.
- Call
- Intent
- Knowledge
- Reasoning
- Confidence
- Escalation
- Resolution
Connecting…
Inbound call connected
Waiting for the customer’s question.
Scoring starts with the first question.
Answering on its own while confidence stays above the threshold.
Replay of a demo call. Confidence values are illustrative.
The intelligence layer
Most voice bots go customer, bot, reply. ARIA puts a full reasoning loop in the middle: understand, retrieve, score confidence, then decide.
- IntentWhat the caller actually needs
- Knowledge retrievalCited from your knowledge base
- Multi-agent reasoningSpecialized agents collaborate
- Confidence scoringARIA evaluates its own certainty
Explainable
Every escalation shows its confidence score and reason.
Cited
Answers come from your knowledge base, not generated guesses.
Auditable
Every decision is logged, start to finish.
ARIA decides when to bring in a human
The handoff is the hard part. ARIA packages the full conversation so the agent is ready before they say hello.
- Caller intent: Azure model support and configuration
- Knowledge checked: 3 docs, 5 results
- Sentiment: neutral, mild frustration
- Reason: details not in the knowledge base
“User needs the exact supported model list and Azure config. Not in the knowledge base.”
“Hi, this is Maya. I have your full conversation. Let’s get you those model details.”
- No repeating yourself
- Full transcript
- Picks up mid-conversation
Built on Azure and OpenAI
Production-grade components composed into one realtime system. Traceable from the first ring to the final summary.
- Experience
- Next.jsOperator and customer UI
- Voice
- Self-hosted LiveKitWeb calling over WebRTC
- Intelligence
- OpenAI Realtime APISpeech-to-speech reasoning
- Azure AI SearchVector and semantic retrieval
- Data and ops
- Azure Cosmos DBSessions, transcripts, analytics
- Azure MonitorEnd-to-end tracing
Routine calls, resolved in seconds. Escalations, when earned.
ARIA handles routine customer service calls. The ones that genuinely need a person are escalated with full context. Customers don’t wait. Agents don’t start from scratch.
24/7
Always-on AI answering for customer voice lines.
2.5 s
Cap on any knowledge lookup in a turn, so the conversation never stalls.
Full context
On every human handoff: transcript, intent and reason.
24/7 and 2.5 s are configured system properties (always-on voice agents; the realtime backend’s single tool budget), not measured customer results.
Talk to ARIA now
A demo contact center for a fictional insurer. Pick a service and talk to ARIA in realtime: ask about a claim, a policy or a premium, push for specifics, and watch it decide when to bring in a human.
Sample experience only. No real accounts, policies or personal data are involved.