LIFEWOOD
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Type A — Data Servicing

Type 
Data Servicing

Type A Data Servicing is the end-to-end data preparation line at Lifewood: document capture, collection, extraction, cleaning, labeling, annotation, quality assurance and formatting. It runs across 50+ languages from 40+ delivery centers under a 95%+ accuracy SLA.

Multi-language genealogy documents, newspapers, and archives to facilitate global ancestry research

QQ Music of over millions non-Chinese songs and lyrics

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OBJECTIVE

Objective

Foundation
Objective

Scan documents for preservation, extract structured data and organize it into a searchable database — making archives accessible for generations.

Document capturePreservation scanDatabase structuring

Data servicing, answered

What is data servicing?

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.

How is accuracy 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 workforce during 2025, an average of 60 hours per person.

Which languages and formats are covered?

50+ languages across 40+ delivery centers, spanning text, image, audio, video and LiDAR. Multi-language is the part most suppliers cannot hold: coverage has to be built by native speakers in-region rather than translated afterwards, which is why collection and servicing are run as one operation rather than two.

Frequently asked questions

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.

Programmes begin with a scoped pilot that establishes the gold set and baselines accuracy and throughput on real data before volume commitments. Lifewood runs a six-stage delivery methodology from scoping through post-delivery audit, so the pilot produces the audit records procurement needs rather than only a sample output.

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.

Yes. 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 this is a human-reviewed process rather than an OCR pass.