In today’s world, data is the new oil, and we can be your Rockefeller. Together with our clients, we develop large language models (LLM) and artificial intelligence (AI) by providing high-quality linguistic, textual, audio, and visual data. We can then help validate, annotate, and apply these models.
Diuna AI Services
Our clients who develop AI solutions are provided with support in acquiring high-quality data so they can train their models.
We work with thousands of linguists in every corner of the planet to provide them with resources in all the world’s languages.
We also operate in the field of outsourcing – our qualified linguists can work directly on-site at your R&D centre, no matter where your office is!
A: Yes, we deliver high-quality language data for training and evaluating NLP and LLM models — in Polish and many other languages. Our services include dataset creation for classification, sentiment analysis, named entity recognition (NER), and more.
A: We provide both manual and semi-automated annotation for text, audio, and OCR-based content. This includes custom taxonomies, entity tagging, part-of-speech labeling, and document classification — all tailored for AI training.
A: We support LegalTech, MedTech, FinTech, the public sector, and education. Our language data is domain-specific, secure, and designed to meet the needs of complex and regulated industries.
A: Absolutely. We manage multilingual projects with native-speaking annotators and reviewers to ensure linguistic and cultural accuracy across all languages involved.
A: Yes. From raw data intake and cleaning to annotation, quality assurance, and final delivery — we handle the full language data lifecycle, using secure infrastructure and experienced project teams.
A: Our core teams are located in Poland and across the EU. We’ve delivered projects for clients in the US, UK, DACH region, and international institutions.
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