How it works Features Use cases Pricing FAQ Book a demo
Live Quality Monitoring

Catch AI mistakes.
Fix instantly.

  • See real failures from real users.
  • Wipe out repeats with clustering.
  • Hot-fix in production.
  • Make the fix permanent.
  • Track repeat-error suppression.
  • No added latency.
10M+
messages
analyzed
96%
fewer repeats
after patch
0ms
added
latency
Live Error Clusters
Live
Refund window misanswers
247
Detected from full threads • hot-fixed via prompt patch
Outdated backup policy
183
RAG guard-rail applied • awaiting retrain export
PII encryption specifics
94
Escalated to human review • gold answer queued
Open dashboard →

Hidden failures live in production
— not test suites

Lab tests miss the weird edge cases your users create. We surface those unknown-unknowns and stop them spreading.

Find the unseen

Whole-conversation analysis reveals failures you never thought to test.

Human-corrected

Reviewers craft one gold answer with rationale and constraints.

Cluster & wipe out

Deterministic strict-clustering turns one fix into hundreds solved.

Hot-fix instantly

Prompt patches + RAG guard-rails stop repeats immediately.

From first error to permanent fix
— in minutes

Each stage compounds quality, cutting repeat mistakes and support load.

1

See real mistakes

Live feed of hallucinations, off-policy answers, and wrong facts across full conversations — not just single turns.

2

Correct once

A reviewer writes one gold answer with rationale and constraints so the fix is reusable and auditable.

3

Cluster identical issues

Deterministic strict-clustering groups look-alikes with exemplars — one fix wipes out hundreds of repeats.

4

Instant guard-rail patch

Deploy a ≤80-token prompt patch and/or RAG guard-rail patch directly to production.

5

Export for retraining

Nightly gold Q-A exports in 10+ formats with rich metadata for permanent model improvement.

6

Track ROI & drift

Dashboards quantify ticket reduction, accuracy lift, drift, and patch suppression over time.

See QualiLoop in action

Real-time monitoring, human-in-the-loop corrections, and instant deployment

1
Conversation History
29 conversations analyzed
DATE QUERY RESPONSE AI SCORE STATUS FLAGGED
05/08/2025 What are your business hours? We're open Monday thro... 75% AI Only -
31/07/2025 Is there any automatic age-off? No automatic age-off poli... 90% Needs Review Yes
31/07/2025 What's your backup aging schedule? Backups are kept indefini... 60% Corrected -
31/07/2025 Do you encrypt PII at rest? AES-128 at rest and TLS 1... 60% AI Only -

96%

Accuracy improvement

After human corrections and patches

Human-in-the-Loop

Expert reviewers correct once,
fix thousands

Our labeling interface makes it easy to review flagged conversations, write gold-standard corrections, and instantly deploy fixes that prevent similar errors across your entire system.

Keyboard-first workflow

Review 100+ conversations per hour with shortcuts

Smart clustering

One correction automatically fixes similar issues

Quality scoring

Multi-dimensional assessment with clear reasoning

Human Labeling Interface
Conversation 2 of 28
1 40%

Q: It's day 30, can I get a cash refund?

A: Yes, we can issue a cash refund.

2 75%

Q: What payment methods?

A: We accept all major...

⚠️ AI Reasoning

Response contradicts refund policy - cash refunds only available within 14 days.

Export Training Data
Configure and export your corrected conversations

Export Summary

Total Conversations: 1,247
Human Corrections: 423
Avg Quality Score: 87%
Continuous Improvement

Export gold data for permanent fixes

Transform every correction into training data. Export in 10+ industry-standard formats for fine-tuning, RAG enhancement, or evaluation datasets.

10+

Export formats

24/7

Auto-export

100%

Metadata rich

Prompt Patch Generator
Instant fix for "refund timing" errors - Deploy immediately

Error Pattern Detected

Found in 247 similar conversations this week

High Priority

Common triggers: "refund timing", "refund process", "how long refund", "when will I get money back"

78 tokens
CONSTRAINT: When users ask about "refund timing" or "refund process":
- State refunds are processed within 5-7 business days after approval
- Mention email confirmation is sent when initiated
- Do NOT promise specific dates or faster processing
- If asked about expedited refunds, explain standard timeline only applies

Override with verified content

When confidence < 80%, inject this verified response:

"Refunds are typically processed within 5-7 business days after approval. You'll receive an email confirmation once initiated."
Instant Hot-Fix

Stop errors immediately with prompt patches

Deploy targeted fixes in under 80 tokens. No model retraining needed. Patches apply instantly to prevent similar errors while you prepare permanent fixes.

Impact Prediction

Errors prevented/week: ~247
Accuracy improvement: +18%
Latency impact: < 2ms

What you get

Everything needed to go from reactive to automatic quality — with a human in the loop where it matters.

Whole-conversation ingestion

Streaming SDKs & APIs keep cross-turn context intact (P95 <50ms). Process multi-turn dialogues without losing context, capturing the full user journey.

Scoring & policies

Accuracy, tone, safety, PII; custom rules and per-tenant thresholds. Define your own quality standards and automatically flag violations in real-time.

Error clustering

Deterministic strict-clusters with explainable exemplars for QA. Group similar failures automatically so one fix can resolve hundreds of issues at once.

Patch engine

Prompt patches + RAG guard-rail patches, versioned and auditable. Deploy fixes instantly without model retraining, with full rollback capabilities.

Labeling workspace

Keyboard-first UI, consistency checks, reviewer gates, and rubrics. Built for speed and accuracy with expert workflows and quality control built in.

Retraining data

Gold Q-A exports (10+ formats) with cluster and policy metadata. Feed corrected data back into your training pipeline for permanent improvements.

Labeling as a Service

Hire expert labelers or Subject Matter Experts from us if you don't have your own team — fully managed, quality guaranteed.

Ground Truth Scoring

System scores replies based on your specific ground truth and documents, not generic benchmarks — tailored accuracy for your domain.

Where QualiLoop pays for itself

Especially where rare mistakes are expensive.

Customer support

Uncover unknown failure modes; slash repeat tickets with patches.

Sales & success

Stop off-policy claims instantly; protect revenue and NRR.

Internal assistants

Keep HR/IT/Procurement bots factual and policy-aligned over time.

3–4 weeks to material ROI

Teams typically cut repeat mistakes 50–80% and resolve incidents in minutes, not days.

73%

fewer repeat tickets

faster issue remediation

$2.4M

annual savings (est.)

96%

accuracy after patches

Simple pricing that scales

No hidden fees. Cancel anytime. Annual discounts available.

Startup
$500/mo
Up to 25k messages / mo
  • Real-time detection (whole-conversation)
  • Basic clustering
  • Manual prompt patches
  • JSONL export
  • Email support
Start trial
Enterprise
Custom
SAML SSO, VPC, on-prem, SLAs
  • Unlimited messages
  • Dedicated labeling team
  • Private fine-tuning pipelines
  • Custom compliance
  • Priority support
Talk to sales

Answers, upfront

Short, honest responses to common questions.

Will GPT-5 make this unnecessary?
No model is perfect in production. We catch rare, high-impact errors that only appear in real user conversations, then patch and retrain to prevent repeats.
Do patches replace fine-tuning?
Patches stop the bleeding now; nightly exports feed FT/RAG so the model learns the fix permanently.
Can we bring our own labelers?
Yes. Use your QA team or our managed pool. Mix and match per queue.
Will it slow down my bot?
Guard-rails run as lightweight middleware; typical added latency is under 20–40ms.

Discover the failures you can't simulate.
Patch them today.

Give us 20 minutes and two days of traffic. We'll show you the top hidden failure and ship the hot-fix before the call ends.