Sales, clinics, service
SilentQA
AI listens to every call and meeting and shows where deals are lost
What the agent says
“Hi, this is Alex. Quick call — are you in charge of the sales team?”
- Agent · 0:00Hi, this is Alex. Are you in charge of sales?
- Client · 0:06Yes. What are you selling?
- Agent · 0:11A service that reviews every sales call with AI.
- Client · 0:19Our sales head listens himself.
- Agent · 0:26How many calls a day can he get through?
- Client · 0:33Well… about ten.
- Agent · 0:39And total calls? Let me show it on your recordings — 20 minutes on Tuesday?
Call score
7.8/10
- Greeting7
- Needs discovery6
- Objection handling9
- Next step9
- Objection “the sales head listens”
- Price cost of manual review
Tips
Simulation on synthetic data
The problem
A manager can physically review 2–3% of calls. The other 97% are a blind spot: nobody knows where an objection was fumbled, a next step forgotten or a script broken.
How it works
- 01
Capture from anywhere: telephony, CRM, a browser extension for online meetings, a desktop recorder, file upload
- 02
Transcription with speaker separation
- 03
An LLM scores each call against the company’s own criteria and flags key moments
- 04
Scorecards, funnels and coaching tips per agent, each linked to the exact second
Features
- Scoring criteria configured per company
- Stereo capture: mic and the other side on separate channels
- Structured data extraction from conversations into a knowledge base
- Multi-tenant: each company gets its own subdomain, roles and data
- LLM provider fallback: analysis keeps running if one API is down
Platforms
Stack
Results
100%
of calls reviewed instead of 2–3%
5
ways to capture a call
3
industries in production
Let’s talk about your project
Tell me about your task — I reply within a day.
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