Can we score calls in multiple languages?

Yes. Analysis runs across the language models TKOS supports, so conversations in English, Spanish, French, Portuguese, Arabic and more all land in the same dashboard.

Who inside our team usually manages this?

Most teams put a QA lead or RevOps analyst in charge. The admin console is built for non-engineers, with API access when the data team wants deeper control.

How quickly can we get scored data into our warehouse?

Live sync to Snowflake, BigQuery, Redshift and Postgres is configured per environment. Most teams have data flowing in under an afternoon.

Can we define custom objection categories?

Yes. Upload a sample of labelled conversations and the engine learns your taxonomy. Retrain when products or messaging change.

Conversation Intelligence · Feature

Every conversation understood, not just sampled.

AI scores intent, sentiment, objections and compliance across voice, chat and messaging — at the scale your QA team can't manually touch.

Get a Free Trial See Pricing

Whole·Archive
Warehouse·Ready
Intent·+ Sentiment
Objection·Mining

Live · 00:12

Chen, R.

Refund · payment

Live · 00:14

Mokoena, N.

Renewal · upsell

Live · 00:21

Patel, S.

Onboard · stuck

Live · 00:24

Nguyen, K.

Pricing · stall

Scoring engine

Scored · Patel, S.conf 0.94

IntentCancel
SentimentFalling
ObjectionPricing
CompliancePass

Pushed to Snowflake · 240 ms

What The Engine Scores

Forty thousand calls a week. Forty matter most.

Most contact centers sample a fifth of one percent for QA. The rest goes into storage nobody reviews. The scoring engine works across the whole archive — and tells you which conversations actually moved the number. See the Gartner definition for context.

Intent

Classification with confidence per utterance.

Cancel
Renewal
Upgrade
Refund
Onboarding
+ 24

Sentiment

Trajectory across the full conversation.

Positive
Neutral
Frustrated
Falling
Recovering

Objection

Detection against the stalls your team fights.

Pricing
Timing
Authority
Existing vendor
Risk

Compliance

Phrase detection for regulated conversations.

Disclosure
Recording consent
Mini-Miranda
TCPA

Warehouse Native

Warehouse-native from day one.

Scored conversations export to Snowflake, BigQuery, Redshift or Postgres — alongside interaction analytics.

Live sync, not nightly batch CSVs
Schemas your data team can read on day one
Backwards score the archive — turn cold storage into a library

Source

TKOS Scoring Engine

intent · sentiment · objection · compliance

Snowflake
tkos.scored_calls
240mssynced
BigQuery
ds_tkos.calls
310mssynced
Redshift
tkos_calls
380mssynced
Postgres
tkos.calls
190mssynced

Built For Your Taxonomy

Custom intents. Backwards scoring.

Templates handle the obvious. Your archive answers the questions templates can't — including sales intelligence and sentiment analysis. Train on a sample, retrain when products change, and run the engine over a year of recordings to find what you didn't know was there.

Custom intents

Train on your taxonomy

No code

“…the pricing for the enterprise tier is more than we budgeted…”Pricing · Stall
“…we'd need procurement to sign before any decision…”Authority · Stall
“…we're already on Five9, switching is a big project…”Existing vendor

Retraining on 142 samplesReady in 4 min

Backwards scoring

Score the archive

Batch · Q3 2024

Scoring 184,302 conversations78%

Started Tue 09:42 · ETA 14 min

Discovered patterns

+38%"Procurement" objections in Q3
−14%Sentiment on renewal calls week 4
+12%Mentions of "competitor X" pricing

Customer Stories

Quality stops being a sample — and starts being the whole picture.

RevOps, QA and analytics leads moved off random call sampling and onto whole-archive scoring. The result: real signal on what closes, what stalls and what gets the cancel email.

Aishwarya Krishnan

Head of RevOps

Halo Cloud Services

5.0

“We were sampling forty calls a week. Now every conversation is scored and joined to Snowflake. Pipeline reviews finally agree with what reps say.”

Conversation Intelligence

Tom Whitaker

VP Quality

Stratus Digital

5.0

“Backwards scoring on a year of calls turned our archive into a goldmine. We found three objections we didn't even know we were losing on.”

Conversation Intelligence

Lebogang Sithole

Director of CX

Kalahari Tech

4.9

“Custom intents took an afternoon. Our QA lead retrained the model herself when we launched a new SKU — no data scientist, no ticket.”

Conversation Intelligence

Mariana Costa

Analytics Lead

Acme Solutions

5.0

“The data lands in BigQuery exactly the way we need it. Joining sentiment to revenue is now a SQL query, not a quarterly project.”

Conversation Intelligence

FAQ

Conversation Intelligence questions.

What QA, RevOps and data leads ask before they switch their analytics stack onto whole-archive scoring.

No. The engine runs on recordings and transcripts TKOS already captures. Existing archives can be imported for batch scoring.

Get A Free Trial

Score every conversation. Not a sample of forty.

Run TKOS Conversation Intelligence on your real traffic for 14 days. Whole-archive scoring, custom intents, warehouse-ready output.

Get A Free Trial See Pricing

Whole-archive scoringWarehouse readyCustom intents14-day trial

Conversation Intelligence · Feature

Every conversation understood, not just sampled.

AI scores intent, sentiment, objections and compliance across voice, chat and messaging — at the scale your QA team can't manually touch.

Get a Free Trial See Pricing

Whole·Archive
Warehouse·Ready
Intent·+ Sentiment
Objection·Mining

Live · 00:12

Chen, R.

Refund · payment

Live · 00:14

Mokoena, N.

Renewal · upsell

Live · 00:21

Patel, S.

Onboard · stuck

Live · 00:24

Nguyen, K.

Pricing · stall

Scoring engine

Scored · Patel, S.conf 0.94

IntentCancel
SentimentFalling
ObjectionPricing
CompliancePass

Pushed to Snowflake · 240 ms

What The Engine Scores

Forty thousand calls a week. Forty matter most.

Intent

Classification with confidence per utterance.

Cancel
Renewal
Upgrade
Refund
Onboarding
+ 24

Sentiment

Trajectory across the full conversation.

Positive
Neutral
Frustrated
Falling
Recovering

Objection

Detection against the stalls your team fights.

Pricing
Timing
Authority
Existing vendor
Risk

Compliance

Phrase detection for regulated conversations.

Disclosure
Recording consent
Mini-Miranda
TCPA

Warehouse Native

Warehouse-native from day one.

Scored conversations export to Snowflake, BigQuery, Redshift or Postgres — alongside interaction analytics.

Live sync, not nightly batch CSVs
Schemas your data team can read on day one
Backwards score the archive — turn cold storage into a library

Source

TKOS Scoring Engine

intent · sentiment · objection · compliance

Snowflake
tkos.scored_calls
240mssynced
BigQuery
ds_tkos.calls
310mssynced
Redshift
tkos_calls
380mssynced
Postgres
tkos.calls
190mssynced

Built For Your Taxonomy

Custom intents. Backwards scoring.

Custom intents

Train on your taxonomy

No code

“…the pricing for the enterprise tier is more than we budgeted…”Pricing · Stall
“…we'd need procurement to sign before any decision…”Authority · Stall
“…we're already on Five9, switching is a big project…”Existing vendor

Retraining on 142 samplesReady in 4 min

Backwards scoring

Score the archive

Batch · Q3 2024

Scoring 184,302 conversations78%

Started Tue 09:42 · ETA 14 min

Discovered patterns

+38%"Procurement" objections in Q3
−14%Sentiment on renewal calls week 4
+12%Mentions of "competitor X" pricing

Customer Stories

Quality stops being a sample — and starts being the whole picture.

RevOps, QA and analytics leads moved off random call sampling and onto whole-archive scoring. The result: real signal on what closes, what stalls and what gets the cancel email.

Aishwarya Krishnan

Head of RevOps

Halo Cloud Services

5.0

“We were sampling forty calls a week. Now every conversation is scored and joined to Snowflake. Pipeline reviews finally agree with what reps say.”

Conversation Intelligence

Tom Whitaker

VP Quality

Stratus Digital

5.0

“Backwards scoring on a year of calls turned our archive into a goldmine. We found three objections we didn't even know we were losing on.”

Conversation Intelligence

Lebogang Sithole

Director of CX

Kalahari Tech

4.9

“Custom intents took an afternoon. Our QA lead retrained the model herself when we launched a new SKU — no data scientist, no ticket.”

Conversation Intelligence

Mariana Costa

Analytics Lead

Acme Solutions

5.0

“The data lands in BigQuery exactly the way we need it. Joining sentiment to revenue is now a SQL query, not a quarterly project.”

Conversation Intelligence

FAQ

Conversation Intelligence questions.

What QA, RevOps and data leads ask before they switch their analytics stack onto whole-archive scoring.

No. The engine runs on recordings and transcripts TKOS already captures. Existing archives can be imported for batch scoring.

Get A Free Trial

Score every conversation. Not a sample of forty.

Run TKOS Conversation Intelligence on your real traffic for 14 days. Whole-archive scoring, custom intents, warehouse-ready output.

Get A Free Trial See Pricing

Whole-archive scoringWarehouse readyCustom intents14-day trial

Every conversation understood, not just sampled.

Forty thousand calls a week. Forty matter most.

Intent

Sentiment

Objection

Compliance

Warehouse-native from day one.

Custom intents. Backwards scoring.

Quality stops being a sample — and starts being the whole picture.✦

Conversation Intelligence questions.

Q1.Do we need to re-record calls for this to work?

Q2.Can we score calls in multiple languages?

Q3.Who inside our team usually manages this?

Q4.How quickly can we get scored data into our warehouse?

Q5.Can we define custom objection categories?

Score every conversation. Not a sample of forty.

Every conversation understood, not just sampled.

Forty thousand calls a week. Forty matter most.

Intent

Sentiment

Objection

Compliance

Warehouse-native from day one.

Custom intents. Backwards scoring.

Quality stops being a sample — and starts being the whole picture.✦

Conversation Intelligence questions.

Q1.Do we need to re-record calls for this to work?

Q2.Can we score calls in multiple languages?

Q3.Who inside our team usually manages this?

Q4.How quickly can we get scored data into our warehouse?

Q5.Can we define custom objection categories?

Score every conversation. Not a sample of forty.

Quality stops being a sample — and starts being the whole picture.

Quality stops being a sample — and starts being the whole picture.