Evaluation, Trust & Safety

The trust layer
your model can wear.

Independent model evaluation, adversarial red-teaming, 24×7 content moderation and bias detection — so the model you ship is the model your customers can rely on.

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Trusted by
SOC 2 Type II
ISO 27001
AI Verify
NIST AI RMF
EU AI Act
250K+
Red-team probes shipped
94/100
Avg. safety score post-mitigation
8
Harm categories covered
60+
Languages
What's inside

Everything you need to ship production-grade data.

A single platform that covers the full lifecycle — from sourcing through evaluation and deployment.

Independent multi-rubric evaluation (HELM, MMLU, MT-Bench, custom)
Side-by-side and N-way model comparison reports
Adversarial red-teaming with 1k+ probes per harm category
Jailbreak resilience eval suite
24×7 multilingual content moderation pipelines
Bias detection across demographic and intersectional slices
Hallucination + factuality scoring
Drift monitoring + monthly probe-set refresh
Release-gate certification reports
Sub-engines

Pick the workflow your team needs.

Model Evaluation

Side-by-side, multi-rubric model scoring against your tasks and your competitors'.

  • Per-rubric scoring
  • Head-to-head A/B
  • Release-gate reports

Red Teaming

Adversarial probe development and execution across 8 harm categories.

  • 1k+ probes / category
  • Jailbreak resilience
  • Quarterly refresh

Content Moderation

24×7 human-in-the-loop moderation queue with policy calibration.

  • 8 harm categories
  • Multi-language
  • Sub-second SLA

Bias Detection

Disparity analysis across demographic and intersectional slices.

  • Per-slice accuracy
  • Counterfactual probes
  • Mitigation guidance
Industry outcomes

Real results, not demos.

Frontier Lab

Independent benchmark across 6 LLM vendors

Selected leader
Public Sector

Red-team certification of citizen-AI tool

AI Verify pass
Retail

Moderation at 142k actions/day across 14 langs

0.2s p50
FAQ

Questions, answered.

How is your eval different from automated benchmarks?

We layer expert human scoring on top of automated benchmarks. A model can ace MMLU and still be wrong for your users — we measure both.

What harm categories do you cover?

CSAM, weapons + uplift, hate + harassment, fraud + scams, PII leakage, malware, self-harm, regulated content (medical/legal/financial), plus your custom categories.

Can you write a release-gate report?

Yes — a structured go/no-go report against your bar, signed by our review lead. Many customers use this to gate major releases or fundraise demonstrations.

Do you certify against EU AI Act / NIST AI RMF?

We provide evidence packages aligned to both frameworks and to AI Verify (Singapore). Final certification involves your auditor — we ship the data.

Related engines

AI Data Services

Multimodal data sourcing and annotation.

GenAI Training & Alignment

RLHF, SFT, fine-tuning, alignment.

Managed AI Operations

24×7 production human-in-the-loop.

Ready to build
AI you can trust?

Talk to a solutions architect — get a pilot scoped in 48 hours.

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