Industry · Enterprise GenAI

Enterprise GenAI quality infrastructure

Models degrade in production as query patterns shift and regulatory frameworks change. The evaluation pipeline monitors live outputs, flags failures within 48 hours, and delivers monthly retraining data from your actual production failures.

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Continuous evaluation not just pre-launch
A model that passes pre-launch evaluation will degrade in production as query patterns shift and regulatory frameworks change. We provide a standing expert evaluation team that monitors live model outputs week by week.
Hallucination monitoring + compliance red-teaming
Claim-by-claim factual verification of live AI outputs. Systematic adversarial probing for compliance risk. Real-time flagging of high-severity failures within 48 hours. The evaluation infrastructure your AI governance team needs.
Monthly retraining data from production failures
Live production failures are the best training signal for model improvement. We curate RLHF preference data and corrective SFT pairs from your actual production failures so each model retraining directly addresses what went wrong in production.
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Continuous RLHFRAG EvaluationHallucination MonitoringCompliance Red-TeamingModel Drift DetectionCustom BenchmarksPre-Launch EvaluationMonthly Retraining DataExpert Evaluator TeamsContinuous RLHFRAG EvaluationHallucination MonitoringCompliance Red-TeamingModel Drift DetectionCustom BenchmarksPre-Launch EvaluationMonthly Retraining DataExpert Evaluator Teams
What the Pipeline Covers

Evaluation infrastructure for every enterprise GenAI use case

Continuous evaluation, hallucination monitoring, and red-teaming with the quality infrastructure that keeps enterprise GenAI products accurate, aligned, and regulation-ready at production scale.

Hallucination Detection Sycophancy Audits RAG Evaluation Compliance Red-Teaming Custom Benchmarks RLHF Preference Data SFT Fine-tuning Agentic Workflow QA
Enterprise GenAI evaluation pipeline
RESPONSE QUALITY: HIGH · 9.1/10
Accuracy ✓ · Helpful ✓ · Aligned ✓ · No hallucinations
HALLUCINATION DETECTED · Severity: HIGH
Claim unverified against source docs · Flagged for correction
SYCOPHANCY FLAG · Medium Risk
Model validated flawed user premise without correction
RLHF PREFERENCE: RESPONSE B
Preferred by 4/5 expert evaluators · Added to retraining batch
EVAL LABELS: ● QUALITY ● HALLUCINATION ● SYCOPHANCY ● RLHF κ 0.84 · Expert Evaluator Reviewed
Enterprise GenAI

Continuous evaluation infrastructure that keeps GenAI production-safe

RAG faithfulness evaluation, hallucination monitoring, and compliance red-teaming being delivered as a standing expert team on a monthly retainer, not a one-off audit.

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Capability 01
RLHF & Preference Data
Comparative response evaluation, preference ranking, and constitutional AI annotation for enterprise GenAI fine-tuning with domain-matched preference data for finance, legal, agriculture and technical AI products.
Capability 02
Hallucination & RAG Audits
Weekly hallucination monitoring, RAG faithfulness scoring, and source attribution verification against grounding documents. Real-time failure flagging with evidence trails being delivered within 48 hours of detection.
Capability 03
Red-Teaming & Compliance
Adversarial prompt testing, sycophancy detection, and regulatory compliance evaluation against EU AI Act, HIPAA, and financial regulation frameworks. Monthly retraining batches from production failure analysis.

Ready to build better AI for Enterprise GenAI?

We evaluate 50 of your model outputs and return a findings report in 5 working days. No cost. No commitment.

Request Free Audit → Our Quality Standards