
LXT delivers scalable AI training data services—data collection, annotation, transcription, and human evaluation—for text, speech, image, and video, including enterprise GenAI/LLM fine-tuning, RLHF, and safety evaluation.
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LXTLXT provides AI training data solutions across the full AI lifecycle, helping organizations collect, annotate, transcribe, and evaluate data used to train and improve machine learning systems. The company supports multimodal workflows across text, speech/audio, image, and video, and also offers specialized services for large language models and generative AI, including supervised fine-tuning, RLHF, prompt engineering and evaluation, and LLM red-teaming and safety testing. LXT works with an international network of contributors and, as part of the LXT Group, integrates clickworker to expand access to a large global crowd. The company positions its delivery for enterprise needs with managed services and Crowd-as-a-Service (API/self-managed) options, built-in QA methodologies (e.g., gold tasks and multi-pass reviews), and secure processing alternatives for sensitive data. LXT emphasizes scale and multilingual reach, citing millions of vetted contributors, coverage across 1,000+ language locales, and operations spanning more than 145 countries. The company highlights expertise in language and speech data and promotes enterprise-grade security and compliance through ISO 27001-certified secure facilities and GDPR/HIPAA-aligned workflows. Founded in 2010, LXT is headquartered in Canada and maintains a presence in multiple countries including the United States, the United Kingdom, Egypt, India, Romania, Turkey, Germany, and Australia, serving customers across North America, Europe, Asia Pacific, and the Middle East.
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Human-led validation and assessment of training data and model outputs to ensure accuracy, fairness, safety, cultural relevance, and compliance across text, speech, image, and video.
Model Evaluation
Training Validation
Search Relevance
Human-led validation of training datasets and evaluation of model outputs for accuracy, bias/fairness, safety/compliance, cultural relevance, and multilingual/multimodal performance (including search relevance and speech evaluation).
Model evaluation
Training validation
Search relevance
Managed, enterprise-grade labeling programs across audio/speech, image, video, and text with multi-step validation, benchmark tasks, and expert reviews; secure facility execution available for sensitive datasets.
Managed delivery
Multi-layer QA
Domain experts
Human labeling and classification across modalities (text, audio, image, video) including tasks like entity tagging, sentiment analysis, bounding boxes, and segmentation to produce model-ready training inputs.
Entity Tagging
Sentiment Labeling
Bounding Boxes
High-volume data capture across text, audio, image, and video tailored to a client’s model and use case, using managed global crowd and on-site or remote collection options.
Multimodal Capture
On-site Collection
Remote Collection
High-volume data capture across text, audio/speech, image, and video tailored to specific models and use cases; includes on-site or remote data collection options and managed global crowd delivery.
Multimodal collection
On-site collection
Remote collection
Specialized LLM/GenAI services spanning LLM data collection, supervised fine-tuning, RLHF, prompt engineering & evaluation, and LLM red-teaming/safety evaluation to help train, align, and evaluate generative models.
SFT Data
RLHF
Red Teaming
Structured human preference feedback for reward model training and alignment, including pairwise ranking, scaled scoring, open-ended feedback, multilingual workflows, analytics, and secure enterprise delivery.
Pairwise ranking
Preference scoring
Multilingual feedback
Creation and validation of instruction–response pairs for LLM fine-tuning, including multilingual datasets, domain expert authoring, response validation/scoring, and bias/safety checks with secure delivery and traceability.
Instruction-response pairs
Multilingual SFT
Domain experts
Transcription for audio, image, and video content (and document transcription listed in navigation) designed for speech and multimodal AI workflows, with high-volume delivery options and coverage across 1,000+ language locales.
Audio Transcription
Video Transcription
Image Transcription
Secure, scalable transcription converting audio, video, images, and documents into high-quality text data, including options such as speaker diarization, timestamps, and post-editing of ASR outputs.
Audio transcription
Video transcription
Image transcription
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