Your cloud, your region
The whole platform deploys inside your own sovereign cloud, in your region. Your conversations do not move.
Proof
10,000+ calls read and scored on both sides, inside the customer's own sovereign cloud.
Life Insurance Direct, an Australian life-insurance broker, holds an AFS licence and put their name to this page. Every one of those calls scored on both sides, none of it leaving their environment.
Case study · Life Insurance Direct, Australian life-insurance broker, AFS licensee
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calls read, both sides scored
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concepts built from their own process document
Same
QA team, whatever the call volume does
Twenty-five insurance-specific concepts, built from their own documented compliance process, run across every call inside their own sovereign cloud, every flag pinned to the moment that produced it. The same QA team covers all of it, and keeps covering all of it as the floor grows, so quality assurance stops being the thing that caps how fast you can hire. When the same thing recurs across a floor, it is usually one wording problem rather than a hundred separate ones. They documented the process, we assessed that document and built the concepts, and they validated the output. The engine is the same for any business that runs on calls.
We name a client only when they choose to be named, and Life Insurance Direct chose to. Your calls, and your results, would stay private unless you tell us otherwise.
Customer story
Customers, on the record.
1 of 2
From raw conversations to answers, in a day.
No tagging project, no model training, no data team.
- 1
Connect your conversations
AWS Connect for calls. App Store and Google Play for reviews. CSV or API for anything else that can export. It all stays in your own sovereign cloud.
- 2
Tell us what good looks like
You document how your team already judges a conversation. We build the concepts from that document and run them across every call. Nothing to tag, no model to train, no work for your analysts.
- 3
Act on quote-linked findings
Every finding opens at the exact moment it happened, ready for coaching, a script fix, or an audit trail. No black box to argue with.
Start with the calls.
That is where the decision actually gets made, and where the conversation is the only record of how it was made. The same engine reads written feedback too.
Wherever your people talk to customers
- Insurance & financial adviceLive
- Auto dealers
- FinTech & collections
- Home services
- AI agents & chatbots
- Your industry? Talk to us
Built to be defended, not just deployed.
When software reads your customers' conversations, "trust us" is not good enough.
PII stripped first
Personal information is removed before any transcript reaches the model. You control retention and deletion.
Inside your process
A flag is a candidate issue with evidence, not a finding. We report nothing to a regulator on our own.
Buying with compliance or IT in the room? Send them the governance page.
See it on your own conversations.
Send around 50 calls you already hold. We run your concepts across all of them, inside your own sovereign cloud, and send back a readout with every flag pinned to its quote, inside a week. Working with written feedback instead? Upload a sample of your reviews and tickets and start free.
The pilot costs nothing. Pricing after that is scoped to your call volume, and there is no self-serve tier for calls. Pilot data is deleted on request.
Who's behind Metricsense
Metricsense is built and operated by Avesta Labs.
Call analytics
Feedback intelligence
