LLM data collection services
High-quality, multimodal datasets – domain-specific, scalable, and compliant for large language models.
Why leading AI teams choose
LXT for LLM data collection
Global & Scalable
Datasets sourced from 150+ countries and 1,000+ locales – capturing the linguistic and cultural breadth needed for robust LLMs.
Large, Qualified Workforce
Over 7 million contributors and 250,000+ domain specialists provide access to diverse voices, rare languages, and industry-specific expertise.
Data Diversity
From domain-specific corpora and user-generated text to speech transcripts, image captions, and video descriptions – datasets reflect the richness of real-world communication.
Fast & Flexible
Secure workflows with rapid throughput for any project size, from small pilots to billion-token corpora.
Quality Assured
Multi-stage validation including expert review, benchmark tasks, and automated checks; full compliance with ISO 27001, SOC 2, GDPR, HIPAA.
Custom-Fit
LLM data tailored to your domain and objectives – whether pretraining, fine-tuning, or evaluation.
Scalable, expert-led LLM data for AI training
LXT delivers managed LLM data collection services designed for pretraining and fine-tuning large language models. Our workflows cover both text-first corpora and multimodal inputs like transcripts, captions, and descriptions – giving your model the scale, diversity, and structure it needs.
With operations in over 150 countries, we source data that meets detailed requirements such as domain, language, dialect, literacy level, or industry specialization. Projects can be executed on our platform, client-requested tools, or within secure facilities for sensitive datasets – always validated and delivered in your preferred format.
Our LLM data collection services at a glance
Text Sourcing & Creation
Collection of large-scale and domain-specific text corpora – including technical manuals, scientific publications, regulatory documents, conversational data, and user-generated content. This ensures your LLM is exposed to both formal and informal language, covering specialized knowledge as well as real-world communication patterns.
Multimodal Transcription & Captioning
We enrich text datasets with multimodal signals converted into words. Audio recordings are transcribed into natural language text, images are described through captions, and videos are converted into scene descriptions. These alignments help prepare LLMs not only for text understanding but also for multimodal reasoning.
Text Annotation & Enrichment
Adding structure and meaning to raw text through linguistic tagging, named entity recognition, sentiment and intent labeling, semantic markup, and metadata enrichment. These layers make the training data more informative, reducing ambiguity and improving downstream model performance.
Text Transcription
Handwritten notes, scanned pages, or image-based documents are converted into machine-readable form. This supports OCR and handwriting recognition tasks and ensures that even analog or non-digital sources can become part of your LLM training corpus.
Dataset Evaluation
Every dataset is reviewed and filtered for relevance, accuracy, diversity, and compliance. Low-quality, biased, or irrelevant content is removed to ensure that only context-appropriate, reliable text contributes to your model’s training pipeline.
How our LLM data collection
process works
Our LLM workflows are designed to be simple for you and precise for your AI goals. From scoping to delivery, we handle every detail to ensure accuracy, compliance, and scalability.
Contact us to share your target domains, languages, and dataset needs. Together we define the scope, and you receive a tailored proposal and custom quote.
We prepare contributor guidelines, set up QA workflows, and configure secure collection protocols — ensuring everything is in place before data collection begins.
A small pilot dataset is created and reviewed. Based on your feedback, we refine the approach to guarantee coverage, accuracy, and diversity.
Once approved, large-scale text and multimodal datasets are sourced, curated, or transcribed according to your exact requirements.
Every dataset undergoes multi-step QA, combining expert review, peer validation, and automated checks to ensure clarity and compliance.
Data is delivered in your preferred format via API integration, encrypted file transfer, or secure hosting options.
Need more? We can extend your dataset with new domains, languages, or modalities to support retraining and ongoing fine-tuning.
Quality & security in LLM data collection
Every LLM project with LXT is handled under strict quality control and enterprise-grade security. From sourcing to delivery, we make sure your datasets are accurate, compliant, and safeguarded at every step.
Vetted contributors
Carefully matched by language skills, domain expertise, and task readiness.
Enterprise compliance
Certified to ISO 27001, SOC 2, GDPR, and HIPAA standards.
Optional pretraining
Contributors can complete calibration tasks for complex domains or specialized linguistic requirements.
Data privacy
NDAs and secure protocols such as VPN, VPC, or restricted-access workspaces available when needed.
Layered QA
Gold tasks, peer review, expert audits, and automated validation ensure dataset consistency and reliability.
Secure infrastructure
Encrypted transfer, controlled access, and dedicated secure facilities for sensitive projects.
Industries and use cases for LLM data collection
LXT supports a wide range of industries by delivering domain-specific and multimodal datasets to train, fine-tune, and evaluate large language models.
Healthcare
Collecting clinical notes, medical research articles, and doctor-patient transcripts to build LLMs that support diagnostics, summarization, and patient interaction.
Finance
Gathering regulatory filings, financial reports, and analyst commentary to power models for compliance monitoring, fraud detection, and automated reporting.
Legal
Compiling case law, contracts, and compliance documentation for LLMs that assist with legal research, document drafting, and contract analysis.
Retail & eCommerce
Aggregating customer reviews, product descriptions, and chat transcripts to support personalized recommendations, conversational agents, and product search.
Technology & software
Collecting developer forums, technical documentation, and code repositories to train LLMs for code generation, documentation, and technical support.
Government & public sector
Gathering policy papers, multilingual citizen service transcripts, and open data to enable LLMs for knowledge management, translation, and accessibility.
FAQs on our LXT LLM data collection services
We provide large-scale text corpora from domains such as healthcare, finance, law, and technology. In addition, we supply multimodal text representations – including transcripts from audio, captions from images, and scene descriptions from video – to enrich your LLM training.
Yes. With contributors in 150+ countries and 1,000+ locales, we collect and curate text in widely spoken as well as rare and low-resource languages – ensuring global coverage for your LLM.
All datasets undergo multi-step QA combining expert review, gold tasks, peer validation, and automated filtering. This ensures consistency, accuracy, and compliance with your project requirements.
Absolutely. Sensitive projects can be executed in our secure facilities with strict access controls. We comply with ISO 27001, SOC 2, GDPR, and HIPAA, and we offer NDAs, VPN, VPC, or restricted-access workspaces when needed.
Pricing depends on factors such as dataset size, domain specificity, languages, and whether multimodal transcripts or annotations are included. A custom quote is prepared after scoping your requirements.
Further data collection services
Expand your AI training data capabilities with our full range of collection services:
Data collection
Your central hub for launching multimodal data collection projects – across text, audio, video, image, and more.
Video data collection
Diverse recordings of human actions, gestures, and environments – powering AI for recognition, tracking, and behavior analysis.
Audio data collection
High-quality speech and voice datasets for transcription, assistants, speaker identification, and emotion-aware AI.
Text data collection
Domain-specific corpora, conversational exchanges, user-generated content, and handwriting – prepared for NLP and generative AI.
Image data collection
Large-scale image datasets of people, objects, and environments – supporting computer vision across industries.
Facial recognition data collection
Ethically sourced and fully compliant image datasets of faces – enabling the training and validation of facial recognition systems.