Qapitol QA

Qurator

Evaluation Orchestration

AI evaluation, operationalized.

Pipelines, scoring, monitoring, governance. The evaluation platform that turns one-off evals into a continuous operational capability — so model drift gets caught before your users do, and every promotion has an audit trail your risk committee can stand behind.

Built for:AI Product ManagerML EngineerHead of AI Quality

01

50+

Built-in eval metrics

02

15 min

To first eval pipeline

03

↓70%

Drift detection time

04

100%

Audit trail coverage

Capabilities

What Qurator does

01

Pipeline Builder

Visual editor for multi-step workflows; triggers on commit, deploy, schedule, or manual.

02

Metric Library

50+ built-in metrics: accuracy, coherence, toxicity, groundedness, PII leakage, latency, consistency.

03

LLM-as-a-Judge

Qualitative scoring using frontier or custom judge models.

04

Drift Detection

Real-time alerts with configurable thresholds.

05

Multi-Model Comparison

A/B testing across versions with statistical significance.

06

Governance & Audit

Role-based access, approval gates, regulator-formatted trails.

07

Human-in-the-Loop

Reviewer routing and inter-annotator agreement tracking.

Deployment

Runs where your data is allowed to live

SaaS for speed, VPC for control, air-gapped for sovereignty.

SaaS

SOC 2 Type II, 1-day setup.

VPC

AWS, Azure, or GCP — data stays in your perimeter.

On-premise

Air-gapped for BFSI and government.

Ecosystem

Plays well with your stack

OpenAIAnthropicAWS BedrockAzureVertex AILangChainLlamaIndexHugging FaceGitHub ActionsJenkinsPython SDKREST API

Next step

See Qurator on your own use case

30 minutes, your scenarios, no slides.