A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
From SFT demonstrations to RLHF rankings and red-teaming, we supply the human signal generative models need.
Trained raters and domain experts compare responses against your rubric to produce clean preference data — with calibration to keep judgments consistent.
See LLM servicesGenerative AI data is the human signal — ranked preferences, written demonstrations, prompts and expert judgments — that teaches a base model what a good answer looks like. Graveiens AI produces this data with trained raters and STEM subject-matter experts across 25+ languages, then runs it through a four-stage QA workflow so every label is consistent and defensible. Pair it with our data annotation services and LLM fine-tuning to close the loop from raw data to a shipped model.
Scope a data programGenerative models are shaped by the human feedback behind them. Graveiens AI builds the RLHF, supervised fine-tuning and evaluation data that align large language and multimodal models — preference rankings, reference answers, red-team prompts and rubric-based scoring, produced by trained raters and subject-matter experts.
Because our bench spans STEM, medical, legal and finance, we can grade the hard prompts where generic crowds fall short, and every batch runs through a measured four-stage quality workflow so your alignment data stays trustworthy.
Talk to our RLHF teamFrom preference data to expert evaluation and safety.
Pairwise and list-wise comparisons that teach models what good looks like.
Instruction-response and gold reference data for supervised fine-tuning.
Adversarial prompts, refusals and safety labels for robust guardrails.
Expert scoring against detailed rubrics for accuracy, tone and helpfulness.
Representative generative-AI programmes we support.
RLHF and SFT data to make assistants helpful and safe.
Preference and reference data across 25+ languages.
STEM and professional grading for specialist models.
Alignment data is only useful if it is consistent and expert. We calibrate raters against gold standards, bring genuine subject-matter depth, and hold quality through create, internal-review, client-review and rework stages. With pay-on-approval delivery, a first RLHF pilot is close to zero-risk.
Start an RLHF pilotHow our generative AI data and RLHF services compare with other providers on focus, expertise and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Generative AI data — preference data, demonstrations, RLHF | Text, image, multimodal prompts | Domain-expert reviewers vs a rubric, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | RLHF and preference data | Text, image, multimodal | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Gen-AI data and annotation | Text, image | Human-in-the-loop QA | Managed teams |
| Shaip | Domain model data and testing | Text, audio, clinical | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Preference data and alignment ops | Text, image, multimodal | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Model alignment and multimodal data | Image, text, multimodal | SamaAssure QA | Managed workforce |
| Surge AI | RLHF and preference 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.
Experts who can judge correctness, not just fluency.
Alignment data beyond English.
Rubric grading with calibration.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
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