Skip to main content
Operata is the observability control layer for CX. It collects performance data from every second of every contact across your Voice AI, CX AI, and cloud contact center platforms, then lets you monitor, assure, diagnose, and optimize from one place. Operata joins those signals into observations against a single contact and derives insights from them. You read the result in dashboards, query it over the API, or react to it on your own event bus, such as Amazon EventBridge.

What you can do

Collect

Three collectors gather contact records, agent-side network and headset telemetry, and synthetic test results — from the browser and from your cloud account.

Monitor

Watch contacts, agents, and voice quality as they happen. Follow one customer across systems with Customer Journey Trace.

Assure

Prove the service works before agents log in. Heartbeat, Agent readiness, and Simulate test the path end to end.

Diagnose

Find the cause of poor audio, softphone errors, and dropped calls — down to the agent’s device, network, and browser.

Optimize

Rank CX risk, compare cohorts, and give agents in-the-moment guidance with Tenor.

Integrate

Connect your cloud contact center, Voice AI, and CX AI platforms, install the collectors you need, and set your redaction policy.

Build on it

API

Query contacts, observations, and insights. Configure redaction and receive webhooks.

AI agents

Point Claude, Cursor, or ChatGPT at the Operata MCP Server and ask questions of your own contact data.

Core concepts

  • Signals and observations — a signal is a single timestamped measurement a collector emits; an observation is the persisted Operata record built from those signals.
  • Contacts and interactions — the per-platform customer record Operata observes: Contact (Amazon Connect), Interaction (NICE CXOne), or Conversation (Genesys Cloud).
  • Customer Journey Trace — how Operata stitches per-platform records into one cross-platform path.
  • Insights — named detections Operata derives from observations, surfaced in the CX Insights Graph.

Start here