A ZoniteAI productAI quality assurance for every conversation
Argus listens to your team's calls and classes, scores each one against your rubric, and routes only the conversations that need a human eye. We built it. It is live today.
Overview
What is Argus?
Argus is an AI quality assurance platform built and operated by ZoniteAI, live in production at argus.zoniteai.com. It records and transcribes conversations from Zoom, Google Meet, and Microsoft Teams, then scores each call or class against your custom rubric in English or Spanish. Argus routes only the conversations it cannot confidently judge to a human reviewer, so your team spends time only where it matters. Every score includes a citation: the exact timestamp, the quoted moment, and the rubric line it affects, so reviewers verify findings in seconds instead of relistening to the whole recording. ZoniteAI designed, built, and runs every layer, from the speech recognition pipeline to the evaluation engine and the application itself.
Live
Running in production at argus.zoniteai.com
3
Meeting platforms: Zoom, Google Meet, and Microsoft Teams
EN / ES
Evaluates conversations in English and Spanish
100%
Built to score every conversation, not a sample
How It Works
Listen. Score. Route.
Three moving parts, one outcome: your reviewers spend their time only on the conversations that deserve it.
Ingest
Upload recordings in bulk, or let Argus join your Zoom, Meet, or Teams call as a silent participant.
Score
Audio is transcribed and separated by speaker, then evaluated against your rubric. A structured report comes back with timestamped findings.
Route
Clean calls are approved automatically. Ambiguous or low scoring ones land in a reviewer queue with the exact moments to listen to.
Evidence
Every score has a citation
Argus does not hand you a number and walk away. Each finding points to the exact moment in the conversation: a timestamp, a quote, and the rubric line it affects. Reviewers verify in seconds instead of relistening to the whole call.
I hear you that the timeline feels tight. Let me show you what we can remove from scope so the launch date still holds.
Review Queue
Humans review only what matters
Argus routes the conversations it cannot confidently judge. Reviewers see why each call was flagged, how long it has been waiting, and exactly which findings to check. Approvals, overrides, and disputes are all part of the workflow.
Insights
Patterns across every team
Score trends, criterion strengths, and per agent performance over time. Coaching decisions stop being anecdotal because every conversation contributes to the picture.
Rubrics
Your standards, encoded
Weighted categories and checklist items that mirror how your best evaluator thinks. Change the rubric once and every future evaluation follows it, consistently.
Why This Matters for You
Proof, Not Promises
We tell clients we build production AI. Argus is what that claim looks like when you can click on it.
Built end to end
Speech recognition pipeline, LLM evaluation engine, multi tenant application, billing, and cloud infrastructure. One team designed, built, and operates every layer.
Running in production
Argus is not a concept or a demo. It processes real recordings into real evaluation reports today, at argus.zoniteai.com.
The blueprint for your system
Everything we learned shipping Argus goes into what we build for clients: agents, knowledge systems, and automations that hold up under real conditions.
FAQ
Common questions about Argus
Argus is an AI quality assurance platform built by ZoniteAI. It records and transcribes calls and classes, scores each one against your custom rubric, and routes only the conversations that need a human reviewer.
Argus works with Zoom, Google Meet, and Microsoft Teams.
Argus evaluates conversations in both English and Spanish.
Argus scores every conversation against your rubric and routes only the ones it cannot confidently judge to a human review queue, along with the reason each was flagged.
Yes. Every finding points to the exact moment in the conversation: a timestamp, a quote, and the rubric line it affects, so reviewers verify in seconds instead of relistening to the whole recording.
ZoniteAI designed, built, and operates every layer of Argus, from the speech recognition pipeline to the evaluation engine and the application itself. It is live in production at argus.zoniteai.com.
Want a system like this for your organization?
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