Argus
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AI QA Agent for every conversation

Argus scores every call. Your reviewers focus only on the moments that actually need them.

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Built for teams in
BPO & Contact Centers
Resolution, compliance disclosures, and empathy scored on every call your floor takes
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Sales Teams
Discovery depth, talk ratio, and clear next steps evaluated on every rep, every call
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Banking & Financial Services
Identity verification, unverifiable rate quotes, and outcome promises caught before they become incidents
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Healthcare Patient Ops
PHI handling, the no medical advice rule, and patient empathy scored on every coordinator call
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Language Academies
Pedagogy, language accuracy, and student talk time evaluated on every class you teach
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The case for evaluation

Recording a conversation costs nothing. Listening to one costs an hour. At any scale, most conversations go unreviewed. The rest get reviewed by whoever happened to have time.

A glimpse of the product

Argus, up close

“Why are reviewers spending so much time on closed conversations?”
Conversation highlights

Out of 1,247 calls this week, the top reason reviewers re-listened was:

Missed compliance phrasing
Total reviewed
Pass rate · 7d
84%
+12 pts vs prev
✦ Operator A
The new policy will be active before your next bill.
✦ Operator B
Just to make sure I have this right, you'd like the new policy active before next billing cycle, is that correct?
+14 pts active listening
✦ Argus reasoning
Evidence
Speaker isolated✓
Quote extracted✓
Decisions
Active listening✓
Compliance phrasing✓
Confidence
High · 91%✓

Every claim is anchored to the moment it happened

Argus evaluation report. A score of 85 out of 100 above six category scores (Communication Clarity, Process Adherence, Professionalism, Accuracy, Objection Handling, Customer Experience) and a written summary.
How it works

Three jobs, in order

I
II
III

Listen

Argus joins live calls or processes uploads. Audio is transcribed, speakers are identified, and the voice you're evaluating is isolated.

Score

Your rubric runs against the transcript. Every score has a citation: a timestamp, a quote, and a confidence number.

Review

Reviewers see only what's worth their time. The person being scored can dispute it through a structured workflow. Auto-approve handles the obvious cases.

Patterns across calls

The coaching plan writes itself

Argus insights view. KPIs across the last 30 days, a score trend line chart, criterion strengths bars per rubric category, and a teacher performance leaderboard with pass rates.
Built with care

How we handle your data

Encrypted in transit and at rest

TLS on the wire, AWS encryption defaults in storage. Integration credentials encrypted at the application layer with Fernet.

Your conversations never train foundation models

Every subprocessor that handles your audio or transcripts is contractually prohibited from training on your content.

Tenant isolation, scoped at the row

Every recording, evaluation, and user is bound to your tenant. No cross customer leakage possible by design.

Subprocessors named, changes flagged early

We publish the full list and notify account administrators thirty days before adding or replacing any party.

See every party that touches your data →Read the privacy policy →

When you're ready, we're listening

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