AI data
services
AI data services are the work of turning raw material into training-ready datasets — collection, annotation, validation and formatting. Lifewood delivers that end to end, from multi-language collection and annotation to model training and generative AI content. Leveraging our global workforce, industrialized methodology, and proprietary LiFT platform.
Data Validation
The goal is to create data that is consistent, accurate and complete, preventing data loss or errors in transfer, code or configuration.
We verify that data conforms to predefined standards, rules or constraints, ensuring the information is trustworthy and fit for its intended purpose.
Data Collection
Lifewood delivers multi-modal data collection across text, audio, image, and video, supported by advanced workflows for categorization, labeling, tagging, transcription, sentiment analysis, and subtitle generation.
Our scalable processes ensure accuracy and cultural nuance across 100+ languages and regions.
Data Acquisition
End-to-end data acquisition solutions — curation, processing, and managed large-scale diverse datasets built for enterprise AI systems.
Data Curation
We sift, select and index data to ensure reliability, accessibility and ease of classification. Data can be curated to support business decisions, academic research, genealogies, scientific research and more.
Data Annotation
High quality annotation services for vision, speech and language processing to accelerate model development. In the age of AI, data is the fuel for all analytic and machine learning.
"Lifewood provides high quality annotation services for a wide range of mediums including text, image, audio and video for both computer vision and natural language processing."
The LiFT platform
LiFT is Lifewood's proprietary delivery platform for AI data services. It unifies multi-language collection, annotation, validation, and AI-generated content production under a single industrialized workflow — the operating layer behind every Lifewood program across 100+ languages and 40+ delivery centers.
Data servicing: the whole path, not one stage
Data servicing is everything that happens to raw material before a model can learn from it: capture, collection, extraction, cleaning, labeling, annotation, quality assurance and formatting. It is the unglamorous majority of an AI programme — teams routinely find that preparing data consumes more effort than training on it — and it is where accuracy is won or lost, because a model cannot outperform the labels it was shown.
Annotation, the labeling stage of that path, has its own page: AI data annotation and labeling covers image, video, text, audio and LiDAR labeling and how the human-in-the-loop review runs.
How accuracy is guaranteed at volume
Through the same dual-layer human-in-the-loop process as every other Lifewood programme: a first-pass annotator, an independent second-pass reviewer, and a customer-approved gold set behind a 95%+ accuracy SLA and a 95%+ inter-annotator agreement threshold. The capacity behind that is staffed rather than asserted — 414,120 training hours were delivered across the Bangladesh workforce during 2025.
Handwritten and archival material
Archival digitisation, including handwritten-text recognition, runs through the same line and is delivered as part of Lifewood's scanning and indexing work. Historical hands vary by scribe, era and region, so it is a human-reviewed process rather than an OCR pass.
Global AI Data: the second business line
Global AI Data is Lifewood's second strategic business line, and AI data services is how it is delivered: high-quality multilingual training data for general large language models, across 100+ languages, 30+ countries, and 40+ delivery centers, covering all four primary data elements — text, audio, image, and video. Lifewood is one of the few providers offering integrated coverage across every modality on one delivery network.
100+ languages, comprehensive coverage
Coverage spans 100+ languages including Portuguese, English, Spanish, Hindi, Japanese, German, Korean, Russian, Arabic, French, and Chinese. The roster expands continuously as new market demand and underrepresented-language programs come online.
Project cases
Client identities are withheld by agreement. Active programs include a frontier-model lab (premium training data for a flagship consumer AI platform), a voice-AI developer (multilingual speech data collection and large language model services), and a computer-vision supplier (face and gesture collection for driver-monitoring applications).
AI Agentic Workflow
Lifewood runs a unified AI Agentic Workflow covering end-to-end data collection, validation, and QA. Region-native annotators provide the cultural and linguistic accuracy that mainstream off-the-shelf data cannot match.
How it connects
Global AI Data flows directly into enterprise LLM training data and multilingual data collection programs, complemented by AI data validation for quality assurance.
AI Data Services FAQ
Pilots typically launch within 1 week of contract execution. Full production ramp to several thousand annotation hours per week completes 2 to 4 weeks from kickoff — week 1 for scoping and onboarding, weeks 2 to 4 to scale — depending on language mix, modality, and accuracy SLA. Multi-year umbrella frameworks are also common for ongoing programs.
Yes. Lifewood specifically supports low-resource languages through region-native annotators across our delivery centers in the Philippines, Bangladesh, Africa, and Southeast Asia. Coverage spans 100+ languages including underrepresented dialects. See our dedicated low-resource speech data page for details.
Annotation is one stage inside data servicing. Servicing covers the whole path from raw source to training-ready dataset — capture, extraction, cleaning, formatting and quality assurance as well as labeling. Buying annotation alone is common and usually leaves the cleaning and formatting work with the client, which is where schedule tends to disappear.
A defined accuracy SLA measured against a customer-approved gold set, plus an inter-annotator agreement threshold — Lifewood holds 95%+ on both. Ask for the second one specifically. A vendor quoting only per-item accuracy is describing agreement with itself, not with your definition of correct.
Global AI Data is Lifewood's second strategic business line, delivered through Lifewood AI data services: high-quality multilingual training data for general large language models across 100+ languages and all four primary data elements — text, audio, image, and video. Active programs span frontier-model, voice-AI, and computer-vision customers.
The AI Agentic Workflow is Lifewood's unified end-to-end pipeline for data collection, validation, and QA. Region-native annotators across 30+ countries and 40+ delivery centers supply the cultural and linguistic accuracy that off-the-shelf datasets cannot, and every batch passes the same dual-layer human-in-the-loop review.
Related services & resources
- AI Data AnnotationHuman-in-the-loop labeling for image, video, text, audio and LiDAR.
- Enterprise LLM Training DataInstruction, preference, and domain corpora built for fine-tuning.
- Multilingual Data CollectionManaged, end-to-end collection in 100+ languages from 40+ centers in 30+ countries.
- AI Data ValidationIndependent dual-layer QA against a contractual 95%+ accuracy SLA.
- Autonomous Driving AnnotationLiDAR, camera, and radar perception labeling for AV stacks.
- Low-Resource Speech DataSpeech corpora for languages with little or no public training data.
- QA ProcessThe dual-layer human-in-the-loop review behind every delivery.
- Delivery MethodologyThe six-stage pipeline from scoping through post-delivery audit.
- Hyperscale Enterprise Data Case StudyEnterprise-scale data servicing and quality operations.
- AI Glossary30+ defined terms across AEO, GEO, AIGC, and data operations.
- FAQDirect answers to the questions buyers and answer engines ask most.
- ContactScope a program, request a sample, or book a technical call.
Related reading
- AI Data · BlogEnterprise AI Data Annotation Services
- AI Data · BlogWhat Is Human-in-the-Loop Data Annotation? Complete Enterprise Guide
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- AI Data · ListicleTop 10 Large-Scale AI Data Annotation and Labelling Companies in the World (2026)
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- AI Data · BlogWhat Is AI Training Data, and What Makes It Good?