“Show me angry customers.”
Uses analyzed sentiment metadata directly, so a valid negative interaction is not discarded merely because nobody said the word “angry.”
Conversation intelligence
Search recorded calls and supported messages in ordinary language. Find meaning, analyzed sentiment, or literal wording—then move directly into the synchronized transcript, dual-channel waveform, and original evidence.
One search box. Three deliberate modes.
The query planner interprets the request, but it does not force every question through the same retrieval method. That distinction keeps broad discovery useful and literal searches precise.
Uses analyzed sentiment metadata directly, so a valid negative interaction is not discarded merely because nobody said the word “angry.”
Finds the meaning of a promise or request across natural variations such as “I’ll ring you tomorrow” or “please get back to me.”
Uses literal full-text discovery and labels the result as an exact word or phrase match—ideal for names, disclosures, codes, and specific language.
Search becomes review
Every supported call-recording view uses the same review experience: prominent parties and extensions, previous/next navigation, playback controls, two aligned channel waveforms, sentiment changes over time, and a clickable transcript that follows playback.
Calls and messages together
Supported Cisco, Webex, and Microsoft Teams call recordings share the recording workbench. Supported Webex and Beta Microsoft Teams message histories render readable text, show sentiment, and join the same authorized intelligence search.
Audio is transcribed first. Embeddings are created from transcript and message text—not raw audio—and durable analysis workflows track progress and retry transient processing failures.
Real review queues, not generic AI demos
Find calls where a customer became frustrated, then open the exact moment and review both channels with the transcript.
Ask who promised a follow-up or who requested a callback without predicting the exact grammar used in the conversation.
Locate potentially hostile, humiliating, threatening, or repeated unreasonable language for authorized human investigation—not automated judgment.
Narrow a review to topics, literal terms, sentiment, people, dates, and channels while keeping the original recording or message in context.
Surface angry or unhappy customer interactions across recorded calls and supported Webex or Microsoft Teams messages.
Ask for a specific word such as “charming” and receive an exact-word match instead of a vaguely related semantic result.
Conduct and compliance review
Authorized reviewers can narrow communications that may warrant attention—complaints, threats, repeated hostility, humiliating language, disclosure terms, or promises that were not kept—then assess the original evidence in context.
That can support an organization’s workplace conduct, anti-bullying, customer-treatment, quality, or regulated-communications process. It does not decide whether conduct occurred, whether a legal test is met, or what action should follow.
SEARCH THE CONVERSATION, NOT THE FILENAME
Start the 30-day trial, analyze supported recordings and messages, and test natural-language, sentiment-aware, and exact-word discovery with your own authorized content.