Metricsense
Make sense with Metricsense

Your dashboard tells you what happened. Your customers already said why.

They explain it every day, in calls, chats, tickets and reviews your team can't possibly read. Metricsense reads 100% of them and shows you what customers asked, what your agents, human or AI, actually answered, and the exact quote behind it all. Try it below.

Live demo, try it yourselfSample data
Pick a question, or write your own, then press Run:

Pilot: free on around 50 of your own calls. Free tier: no credit card.

Runs in your own cloud, your regionEvery answer quote-linkedNo tagging, no model training
2–5% 100%

16 genuine escalation risks, inside 5,438 calls. None of them a call a sample would ever have reached.

One analysis window at an Australian life-insurance broker (name withheld by design). We do not name our clients: your calls and your results stay just as private.

Case study · Australian life-insurance broker (name withheld by design)
5,438
calls read, both sides scored
16
genuine escalation risks surfaced
54%
of premium explanations only partly accurate, one root cause
0
new QA analysts added

They ran every one of their own calls through Metricsense, inside their own AWS account, and found a systemic gap no 2–5% sample could surface: a recurring, coachable misexplanation of premium structures. One scripting fix, not 98 separate problems. The metrics were theirs, written for their licence and their products. The engine is the same for any business that runs on calls.

On feedback · GoNext The same engine reads written feedback at volume: at GoNext, 12k+ app reviews analysed in minutes, themes ranked by volume, every one quote-linked.

From recordings to answers, in a day.

No tagging project, no model training, no data team required.

1

Connect your conversations

AWS Connect for calls. App Store and Google Play for reviews. CSV or API for anything else, from any system that can export. Everything stays in your own cloud.

2

Say what you want found

Plain English, one sentence: "Flag every call where the agent promised a callback that never got booked." That sentence is the whole setup.

3

Act on quote-linked findings

Every finding links to the exact moment it happened: ready for coaching, a script fix, or an audit trail. No black box to argue with.

First insight in under an hour, on your real data.

One platform, two kinds of team.

Call-driven businesses

Sales, service, compliance, operations
See 100% of calls, not the 2–5% your QA can hand-score
Catch the misstated fact, the skipped disclosure, the missed follow-up
A defensible, quote-linked evidence trail for audits and disputes
Per-agent quality you can coach from, not guess at

Product & CX teams

PM, support ops, founders
Read every review, ticket and survey, not a skim
Rank what to build by volume and sentiment, with proof
Catch the crash buried in 5-star noise after a release
Walk into the roadmap meeting with evidence, not opinions

One question. Every conversation that answers it, whatever language it is in.

The same finding, grouped across languages. Validated on your own languages during the pilot.

English"App crashes at every checkout since the update."
Spanish"La app se cierra en cada pago desde la actualización."
German"Die App stürzt seit dem Update an der Kasse ab."
Japaneseアップデート以降、決済のたびにアプリが落ちます。
Arabicيتعطل التطبيق عند كل عملية دفع.
Tagalog"Nagki-crash ang app tuwing magbabayad simula nang mag-update."

Built to be defended, not just deployed.

When an AI reads your customers' conversations, "trust us" is not good enough.

Your cloud, your region

The whole platform deploys inside your own cloud account, in your region. Nothing leaves your environment.

PII stripped first

Personal information is removed before any transcript reaches the model. You control retention and deletion.

Evidence, versioned

Every flag pins to the exact transcript moment against a versioned insight definition. Auditable, never a black box.

Inside your process

A flag is a candidate issue with evidence, not a finding. We report nothing to a regulator on our own.

Live in days, not a quarter

No tagging, no model training, no data team. You write what to find in plain English and it runs.

Proven on your data first

Start free on your own feedback, or pilot on a sample of your own calls, scored against your own QA and deleted on request.

Buying with compliance or IT in the room? Send them the trust & security details.

Who's behind Metricsense
Avesta Labs

Metricsense is built and operated by Avesta Labs.

Frequently asked, honestly answered.

The five questions that come up before every pilot.

Does the AI make things up?

Every finding is pinned to the exact quote in the transcript, and a flag is a candidate for your team to confirm, not a verdict. During a pilot, accuracy is measured against your own QA on your own calls before you rely on it.

Is our data used to train AI models?

No. Your conversations are processed to answer your questions and nothing else. They are never used to train models, the platform runs inside your own cloud account, and PII is stripped before any transcript reaches the model.

What can we connect today?

AWS Connect for call centres, App Store and Google Play for reviews, and CSV import or the ingest API for calls, chats, tickets and surveys from any other system. If you can export it, Metricsense can read it.

What about calls that are not in English?

The engine reads conversations across languages and groups the same finding wherever it appears. We validate it on your own languages during the pilot, before you rely on it.

What does a pilot actually involve?

A free pilot on a sample of your own calls, around 50, run inside your own cloud, scored against your own QA, deleted on request. You see it work on your data before you commit to anything.

Something else?

Ask us directly: hello@metricsense.ai. A founder answers, not a bot.

See it on your own conversations.

A free pilot on a sample of your own calls, around 50, or start free on your written feedback.

Free pilot on around 50 of your own calls · No credit card for the free tier

Prefer email? hello@metricsense.ai