A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Base models are broadly capable but rarely production-ready. Fine-tuning aligns them to your task, tone and safety bar using human data — RLHF preference rankings, SFT demonstrations and targeted evaluation. Graveiens AI brings a STEM and domain SME bench to the fine-tuning work most data vendors cannot staff, and pairs it with LLM evaluation and data annotation services so every iteration is measured, not guessed.
Scope a fine-tuning pilotWe supply the human judgment that turns a capable base model into a reliable product — ranking, demonstrating, prompting and stress-testing across domains and languages.
Trained raters and domain experts compare and rank model responses against your rubric, producing the preference data your reward model needs — with quality controls to keep labels consistent throughout the fine-tuning loop.
Talk to usFine-tuning turns a general model into one that knows your domain and your voice. Graveiens AI builds the datasets that make that possible — instruction-response pairs, domain corpora, preference data and evaluation sets — produced by trained annotators and subject-matter experts and delivered ready for supervised fine-tuning and RLHF.
We design data to your task and taxonomy, weave in the edge cases your model struggles with, and hold every batch to a measured accuracy bar through our four-stage quality workflow.
Talk to our LLM data teamFrom instruction data to domain corpora and evaluation.
High-quality instruction-response pairs across tasks, tones and formats.
STEM, medical, legal and finance data curated by qualified SMEs.
Rankings and comparisons for RLHF and DPO-style tuning.
Held-out, rubric-scored data to measure fine-tuning gains.
Representative LLM programmes we support.
Specialising models for healthcare, finance and law.
Instruction and preference data across 25+ languages.
Data for extraction, summarisation and reasoning tasks.
Good fine-tuning data is targeted, clean and measurable. We align on the behaviours you want to change, curate data that addresses them, and pair it with evaluation sets so you can see the lift. Consistent QA and pay-on-approval delivery keep a first fine-tuning pilot low-risk.
Start a fine-tuning pilotHow our LLM fine-tuning and RLHF services compare with other providers on focus, expertise and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | LLM fine-tuning with RLHF, SFT and expert evaluation | Text, dialogue, code, domain prompts | STEM and domain SME reviewers, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | RLHF and SFT data for LLMs | Text, dialogue, prompts | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | LLM data and prompt annotation | Text, dialogue | Human-in-the-loop QA | Managed teams |
| Shaip | Domain LLM data and evaluation | Text, audio, domain prompts | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | LLM data operations and evaluation | Text, dialogue, multimodal | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Generative AI data and alignment | Text, image, multimodal | SamaAssure QA | Managed workforce |
| Surge AI | RLHF and LLM data labeling | Text, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
A STEM SME bench inherited from our education business — rare for a data vendor.
RLHF and SFT data across 25+ languages, not just English.
Rubric-based grading with calibration and four-stage QA.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot