A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Language is full of edge cases — sarcasm, nested entities, code-switching — that generic pipelines miss. Our trained linguists and domain SMEs work directly on your text, labeling entities, sentiment, intent and relationships to your taxonomy with measured agreement. The same team supports broader data annotation services and conversational AI training data.
Start an NLP labeling pilotFrom named entities to nuanced sentiment, we produce the labeled text that trains and evaluates language models.
We turn raw text into structured training data: named-entity recognition, intent and sentiment, classification, span and relationship labeling, and summarization or Q&A pairs. Linguists and domain SMEs label to your guidelines in 25+ languages, and a four-stage QA workflow with inter-annotator agreement keeps tags consistent as volumes scale. Because the same bench also delivers data annotation services, conversational AI training data and LLM fine-tuning, you can move from labeled text to a tuned, evaluated model with one partner.
Start an NLP pilotLanguage models learn from the structure humans give raw text. Graveiens AI delivers NLP data services — entity, intent, sentiment and relationship labelling, plus classification and summarisation data — across 25+ languages and specialist domains.
Our annotators and linguists work to your schema and guidelines, and every batch runs through a four-stage quality workflow so your NLP training and evaluation data stays consistent.
Talk to our NLP data teamFrom entities and intents to relationships and summaries.
Named-entity, span and slot annotation for extraction and NER models.
Intent, topic and category labelling for understanding and routing.
Sentiment and aspect labelling for opinion and feedback models.
Relationship, coreference and structure labelling for richer NLP.
Representative NLP programmes we support.
Structured data from documents and messages.
Intent data for assistants and support systems.
Labelled text across 25+ languages.
Good NLP data depends on consistent interpretation of nuanced guidelines. We calibrate annotators, involve linguists for hard languages, and hold quality with gold-standard checks and four-stage review. Pay-on-approval keeps a first NLP pilot low-risk.
Start an NLP pilotHow our NLP annotation and text labeling services compare with other providers on focus, languages and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | NLP annotation — entities, sentiment, intent, relationships | Text, multilingual (25+ languages) | Linguist and SME review vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Text and language data annotation | Text, multilingual | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | NLP annotation and NER | Text, multilingual | Human-in-the-loop QA | Managed teams |
| Shaip | Healthcare text and clinical NLP | Text, audio, clinical | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | NLP annotation operations | Text, multilingual | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Text and multimodal annotation | Text, image, multimodal | SamaAssure QA | Managed workforce |
| Surge AI | Language 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.
Domain experts for the subtle calls.
Native linguists in 25+ languages.
Gold sets and agreement scoring.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot