Everyone has learned to analyze customer conversations. We’ve learned to turn them into profit.
Salesei finds where a company loses money in calls and chats and turns that data into action: more sales, higher LTV, faster hiring and onboarding.
Customers leave in conversations the manager never sees
A sales lead hears three calls out of a hundred and opens a chat once the customer has already complained. The rest is guesswork.
One number for the whole customer journey
SalesScore is a 0–100 score for how the rep led the customer from first touch to payment. Not “how many calls”, but “how well”.
Six stages, one score
Every conversation is scored on six stages. Conversation scores roll up into the rep's score, rep scores into the team's. A weekly trend shows where the team is heading.

Calls and chats on one scale
A chat is scored on the same six stages as a call. So a rep has one score, not “70 on calls, unclear on chats”.
Every number has evidence
The score opens down to the conversation: the stage where it broke, the customer's quote and the rep's reply. Not “56 points” but “caves on the price objection” — with a snippet you can listen to.
— Too expensive. Your competitor is fifteen percent cheaper.
— All right, I can give you ten percent off.
Objections · a discount instead of a question about value

Four comparisons show where the money is
Benchmarks are built only from workspaces that opted in, and appear once a niche has five companies. Only numbers leave — no names.

The loop: weak spot → drill → before → after
A weak spot from a conversation becomes a voice drill with an AI customer. The next real conversation shows whether the score moved. Without this loop analytics is just another report.

See, find, train, measure
Four steps close into a loop: every next conversation checks whether the drill worked.
One score, six tools
Everything is scored on one scale and lives in one workspace: calls, chats, prompter, trainer, academy, hiring.
Calls: every conversation scored on six stages
Recordings arrive from the CRM and PBX on their own. Each is transcribed, scored and rolled into the rep's and the team's SalesScore.

Chats: every channel in one window
Sales moved into chats long ago, and the manager reads them alone. Salesei cuts a chat into episodes, scores each on the same scale and tells you when a customer was left unanswered.

Prompter: a hint during the conversation, not after
Listens to the conversation, knows the stage and shows one short hint. Works in the browser with any call or meeting, in Bitrix24 and amoCRM.

Trainer: a customer who objects and hangs up
A voice AI customer with a personality plays your objection. The rep practises out loud and gets a breakdown right away.

Academy: courses, exam, certificate — from your own theory
The manager writes the chapters: scripts, product, your objections. Each chapter has voice practice; at the end — an exam.

Hiring: the candidate runs a call before the offer
Send a link — the candidate talks to an AI customer from their phone. You get a stage-by-stage score and a verdict.

The bigger the gap, the more money sits there
One score lets you compare fairly: rep to rep, team to niche, today's conversation to yesterday's.
Honest about benchmarks: they are built only from workspaces that opted in, and published once a niche has five companies. Only percentiles leave — no names, no individual calls. The screenshot shows a demo niche.

Upload one conversation — see where it fell apart
No demo call, no request form. Upload a call recording or paste a transcript — in a minute you get the SalesScore, the stages and the first weak spot with a quote.
We fit into your stack, not the other way around
CRM and telephony connect in 15 minutes, no integrator needed. Anything not on the list comes in through the API.
Recording and AI analysis of conversations — compliant by design
Analysing calls and chats is personal data and regulated AI. Salesei is built for data residency, consent and explainable scoring in your jurisdiction. Below — the requirements this site is built for.
In-region data residency, consent and explainable scores — regardless of country.
What teams ask before starting
What is SalesScore?
How is this different from speech analytics?
Does it work with chats?
What is the prompter and where does it work?
Which CRMs and PBXs connect?
How long does setup take?
Which languages?
Where is the data stored and who sees it?
How much does it cost?
Can I try it without an integration?
You pay for seats. Transcription is free
Calls — per seat for the reps whose conversations are scored. Chats — per dialogue per month. We don't meter transcription at all. We'll send a quote for your team — no surprise sales call.
How many customers leave while nobody is looking?
Connect calls and chats — you'll see the first SalesScore the same day.
or analyse one conversation without signing up
