A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Trust and safety fails at the edges — the borderline cases automated filters and generalist content moderation companies get wrong. Our moderation services pair trained multilingual reviewers with your policy, clear escalation paths and four-stage QA, so decisions stay consistent and audit-ready. The same team supports generative-AI safety and red-teaming and feeds labeled examples back into your data annotation services.
Start a moderation pilotTrained reviewers apply your guidelines consistently, with escalation paths and QA so borderline cases are handled with judgment, not guesswork.
Safe AI and safe platforms depend on people who can judge nuance, context and intent. Graveiens AI provides content moderation and trust-and-safety labelling across text, image, audio and video — training the classifiers and guardrails that keep harmful content out.
Our reviewers work to your policy taxonomy with care for wellbeing and consistency, and every batch runs through a measured four-stage quality workflow so your safety data stays reliable at scale.
Talk to our trust & safety teamFrom policy-driven review to safety training data.
Labelling content against your harm taxonomy — hate, violence, sexual, self-harm and more.
Frame-level flagging of unsafe visual content for detection models.
Toxicity, harassment and spam labelling for chat and community models.
Red-team prompts, refusals and reference answers to make generative models safer.
Representative programmes our moderation services support.
Training data for automated moderation at scale.
Safety and refusal data for LLM alignment.
Labelling to keep content and placements on-policy.
Moderation is sensitive work, so we invest in clear guidelines, reviewer wellbeing and gold-standard checks to keep labels consistent and humane. ISO 9001:2017 processes and pay-on-approval delivery mean you can trust both the quality and the terms of a first pilot.
Start a moderation pilotHow our content moderation services compare with other providers on coverage, languages and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Human-in-the-loop content moderation and trust and safety | Text, image, audio, video, multilingual | QA and escalation vs policy, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Multilingual moderation and data services | Text, image, audio, video | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Content review and moderation | Text, image, video | Human-in-the-loop QA | Managed teams |
| Shaip | Policy review and safety data | Text, image, audio | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Content review and safety ops | Text, image, video | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Moderation and annotation | Image, video, text | SamaAssure QA | Managed workforce |
| Surge AI | Safety and policy data for LLMs | Text, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Consistent moderation across 25+ languages and regional norms.
Gold-set calibration and four-stage QA keep decisions consistent.
Clear audit trails and policy-aligned labeling.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot