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FaceOff Technologies

Media & Enterprise

A recording is not a transcript

A conversation carries more than its words. Who was speaking, how they said it and where they hesitated are all part of what happened, and a block of text keeps none of it. FaceOff makes a recorded conversation reviewable, with what was said, who said it and how it was said held together in one place

Overview

Everything a transcript throws away

Turn recorded conversations into something a team can review, with what was said, who said it and how it was said all in one place.

Customer intelligence and sentiment analysis

Most teams already record their calls and most already transcribe them. What they are left with is searchable text, which answers what words were used and almost nothing else. The reason a customer left, the moment an agent lost them, and the difference between genuine agreement and simply giving up are not in the words.

So the recordings get shelved. Nobody has time to listen to a thousand calls, a sample of ten proves nothing, and a written summary carries the reading of whoever listened rather than the conversation itself. The material an organisation has the most of ends up being the material it uses the least.

The tools below keep the parts a transcript discards. A conversation comes back with the speakers separated and laid out in order, and with how something was said kept beside what was said, so a team reviews the conversation rather than somebody's summary of it.

What you deploy

Products for Customer Intelligence

These are the products customer experience, quality and research teams deploy most often, covering how something was said, who said it and how a whole conversation reads once all of it is kept together.

BehaviourLens AI

Autonomous voice interviewer with trimodal audio, visual and linguistic forensics.

Explore

VoiceEmo AI

Voice, spoken context and emotional signals in one view.

Explore

Voice Profile AI

Speaker separation and organised speaker timelines for multi-speaker audio.

Explore

Key capabilities

What FaceOff checks in customer intelligence

What this sector asks for most often. Each one runs at the moment a decision is being made, and each returns a result a reviewer can explain to somebody else.

Keep how it was said, not only what was said

Delivery, steadiness and tone are kept alongside the words, so the difference between a customer who agreed and a customer who gave up is still visible to somebody reviewing the call weeks later.

An agent's call read for tone as well as words

Sort out who spoke when

A recording with several people in it is separated by speaker and laid out as an ordered timeline, so a conversation can be followed and one participant traced through it without anybody replaying the whole file from the start.

A recorded meeting with each participant separated

Read a conversation across three channels at once

Where there is video as well as audio, voice, face and words are read together and a reading is produced for each turn in the conversation. That is much closer to how a person actually judges a conversation than reading a transcript of it.

A conversation carried in voice, face and words at once

Hand back something a team can act on

Conversations return as timelines and reviewable reports rather than as raw output, so a finding can be shown in a meeting, handed to a team leader and revisited later with the original material still attached to it.

Recordings turned into reports a team can act on

Work with the recordings you already hold

Audio in the formats a contact centre really produces, telephone recordings included, can be used as it is. The value comes from material already sitting in your archive rather than from starting a new collection exercise.

Review the whole set instead of a sample

Quality review usually means listening to a handful of calls and hoping they were representative. When every conversation comes back organised and readable, attention can go to the ones that stand out rather than to the ones that happened to be picked.

Where it is used

What FaceOff runs in customer intelligence

Every entry names a product on this site and describes it the way its own page does.

  1. Reading how something was said

    VoiceEmo AI brings voice, spoken context and emotional signals into one view.

  2. Sorting out who spoke when

    Voice Profile AI separates speakers and lays out an organised timeline for audio with several people in it.

  3. A conversation read across three channels

    BehaviourLens AI reads voice, face and words together and produces a reading for each turn.

Common questions

Customer Intelligence, answered

A transcript keeps the words. VoiceEmo AI keeps how they were said, and Voice Profile AI keeps who said them and when. Together they make a recording reviewable rather than merely searchable, which is the difference between finding a call and understanding what happened on it.

See it score a real video

Bring your own footage. We will run it through the Adaptive Cognito Engine and walk you through the findings.