LogoSorvexLabs

Operational
Infrastructure for RLHF.

Sorvex Labs builds the operational layer for human feedback and AI evaluation workflows.
Reviewer analytics, drift detection, queue management, and workflow intelligence for frontier AI teams.

Scroll

The operational layer
RLHF pipelines have been missing.

Stop managing eval workflows manually. Sorvex Labs gives you the operational intelligence to run human feedback at scale.

01Task Queue

Task Queue System

A centralized operational queue displaying pending tasks, completed reviews, retries, and escalations. Hence giving you full visibility into every item flowing through your evaluation pipeline.

100%

workflow visibility

Pending / Done / Retry trackingAnnotator latency metricsAuto-escalation rules
02Analytics

Reviewer Analytics

Operational metrics for every evaluator in your pipeline. Track disagreement rates, approval strictness, retry frequency, average latency, and escalation patterns to maintain quality at scale.

94%

inter-rater agreement target

Disagreement rate trackingLatency distributionEscalation trends
03Drift Detection

Drift Detection

Track changes in reviewer behavior over time. Detect consistency shifts, disagreement spikes, and anomalous reviewer patterns before they silently degrade your evaluation quality.

< 8h

drift detection window

Behavioral shift alertsConsistency scoringCalibration recommendations
04RLHF Interface

RLHF Preference Interface

A simple, focused interface for comparing response A vs response B and selecting preferred outputs. Every selection is stored with timestamps and confidence metadata.

1M+

preference pairs storable

Side-by-side comparisonConfidence metadataTimestamped selections
05Queue Health

Queue Health Dashboard

Operational visibility into bottlenecks, overloaded reviewers, stuck task categories, turnaround times, and retry loops. Now you can optimize throughput and reduce operational delays.

faster bottleneck resolution

Bottleneck identificationReviewer load balancingRetry loop detection

From messy pipelines to
operational clarity.

Sorvex Labs handles the operational layer — so your team can focus on building better models.

Step 01

Connect Your Eval Pipeline

Integrate Sorvex Labs with your existing RLHF or evaluation workflow in minutes. We support annotation platforms, custom pipelines, and manual review setups.

Quick integration
Step 02

Configure Analytics & Alerts

Set up your reviewer roster, define calibration thresholds, and configure drift detection alerts. The dashboard populates with real operational data from your first task batch onward.

Live in minutes
Step 03

Monitor, Optimize & Scale

Get real-time operational visibility into your entire evaluation system. Identify bottlenecks, catch reviewer drift early, resolve retry loops, and continuously improve quality at scale.

Continuous intelligence

The operational layer
RLHF needs.
Now.

Stop managing eval workflows manually. Get early access to Sorvex Labs and bring operational intelligence to your RLHF pipeline.

or contact us directly at sorvexlabs@gmail.com