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

Catch AI hallucinations.
Fix instantly.

  • Discover hallucinations and errors from real conversations
  • Remove them instantly in real time
  • Human-in-the-loop correcting and clustering
  • Track repeat-error suppression
  • No added latency
10M+
messages
analyzed
96%
fewer repeats
after patch
24/7
continuous
monitoring

How QualiLoop Works

LIVE
1
Ingest Conversations
Stream all AI interactions in real-time
2
Surface Hallucinations
AI detects errors, violations, edge cases
3
Human Expert Review
SMEs write gold answers with reasoning
4
Cluster Similar Errors
Group identical issues for batch fixing
Deploy Fixes
Immediate
Hot Patches
Prompt patches stop errors instantly
Permanent
Export & Retrain
Fine-tune model with gold data

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.

Product Risk

Hallucinations break your core promise—making your AI unreliable.

Support Ticket Overload

Every hallucination = 3× tickets, costing you time and money.

Brand and Compliance Risk

Inaccurate responses damage brand trust and credibility.

Customer Churn

Incorrect answers frustrate users—leading to churn & lost revenue.

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

Human-in-the-loop labeling

A reviewer corrects the hallucination, writes a correct answer with rationale and constraints so the fix is reusable.

3

Cluster identical issues

Cluster halluciantions and errors into 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

Export gold Q-A pairs in 10+ formats with rich metadata for permanent model improvement if you fine-tune or retrain.

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

QualiLoop Conversation History Dashboard showing real-time AI conversation monitoring with accuracy scores and status tracking

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. 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

See strict-clusters with explainable examples 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.

Simple pricing that scales

No hidden fees. Cancel anytime. Annual discounts available.

Startup
$500/mo
Up to 25k conversations / mo
  • Real-time detection (whole-conversation)
  • Basic clustering
  • Manual prompt patches
  • JSONL export
Start trial
Enterprise
Custom
SAML SSO, VPC, on-prem, SLAs
  • Unlimited conversations
  • Dedicated labeling team
  • Private fine-tuning pipelines
  • Custom compliance
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; Guard-rails fix vendor models and exports feed Fine-Tuning and Retraining pipeline 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 10–20ms.

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

Give us 30 minutes and two days of traffic. We'll show you the top hidden failure and ship the hot-fix before the call ends.