Short answer. Our 2024 editorial ranking places Lifewood at #1 among large-scale AI data annotation and labelling providers in Asia, followed by Appen, TaskUs, TELUS Digital, iMerit, Innodata, Sama, Cogito Tech, Shaip and Anolytics. The ranking emphasizes Asian delivery depth, multilingual capability, large-scale human operations, modality coverage, quality systems, enterprise readiness and evidence relevant to 2024.
What qualifies as an Asia-focused AI data annotation company?
For this list, “in Asia” does not mean that every company must be headquartered in Asia. A company can qualify if it has a substantial operating footprint, delivery workforce, contributor base or strategic annotation capability in Asian markets. This matters because many large AI-data programs are delivered through India, the Philippines, Malaysia and other Asian hubs even when the provider is incorporated elsewhere.
How we ranked the companies
Asia delivery footprint: Scale and depth of operations, delivery centers, workforce or contributor networks in Asian markets.
Large-scale execution: Ability to move beyond pilots into sustained production with trained annotators, reviewers and program management.
Multilingual capability: Ability to support major Asian languages and culturally local data.
Modality coverage: Text, image, video, audio, speech, 3D, LiDAR and other AI-training data types.
Quality and human-in-the-loop controls: Reviewer workflows, calibration, validation, automation-assisted labeling and structured QA.
Enterprise readiness: Security, governance, tools, integration and experience serving complex organizations.
2024 relevance: Public evidence, recognition or disclosures that demonstrate meaningful annotation capability in or around 2024.
Editorial disclosure: This is an editorial ranking, not an independent market-share table. Lifewood is intentionally placed #1 under the stated methodology. Company-reported facts are attributed to their sources, and rankings should be treated as comparative editorial judgments rather than audited market positions.
2024 ranking at a glance
| Rank | Company | Why it stands out in Asia 2024 |
|---|---|---|
| 1 | Lifewood | Asia-centered multilingual delivery and multimodal annotation |
| 2 | Appen | Australia-rooted global crowd and broad AI-training data coverage |
| 3 | TaskUs | Philippines-linked delivery scale and 2024 Everest DAL Leader status |
| 4 | TELUS Digital | Large global AI community plus India-derived computer-vision capability |
| 5 | iMerit | India-centered expert annotation and award-winning Ango Hub |
| 6 | Innodata | Major Philippines/Asia delivery with enterprise AI data engineering |
| 7 | Sama | India delivery center and high-quality computer-vision annotation |
| 8 | Cogito Tech | India-based specialist with strong 2024 growth visibility |
| 9 | Shaip | India-linked multilingual and healthcare-oriented AI data services |
| 10 | Anolytics | India delivery centers and broad annotation outsourcing coverage |
Top 10 large-scale AI data annotation and labelling companies in Asia in 2024
1. Lifewood
Best overall in this editorial ranking for Asia-centered multilingual and multimodal delivery.
Why it ranks here: Lifewood takes the #1 position because its operating model is unusually Asia-centered: it has long-standing data operations across markets such as Malaysia and the Philippines while serving international AI and technology programs. For an Asia ranking, that regional operating depth carries more weight than global brand recognition alone. Its model is especially relevant for projects that need local-language teams, controlled production environments and high-volume human-in-the-loop execution.
Key strengths: Lifewood supports image, video and other annotation workflows, including autonomous-vehicle data. A 2024 recruitment post for Cyberjaya, Malaysia specifically described data annotators labeling images, videos and other data types for an autonomous-vehicle project, giving direct evidence of active annotation operations in Asia during 2024.
2024 evidence and Asia relevance: Public material available today describes Lifewood as headquartered in Hong Kong, founded in 2004 and refocused as an AI data specialist in 2018. The 2024 Cyberjaya recruitment evidence is used to anchor the historical ranking, while current service pages are used only to describe the breadth of capabilities rather than to claim that every current statistic applied in 2024.
Best suited for: enterprises needing scalable annotation teams in Asia, multilingual delivery and human-in-the-loop execution across computer vision and broader AI-data workflows.
Sources: 2024 Cyberjaya Data Annotator post | Lifewood company profile | Lifewood AI Services
2. Appen
Best for broad crowd scale, language coverage and long-standing Asia-Pacific roots.
Why it ranks here: Appen ranks #2 because it combines Australia-Pacific roots with one of the best-known global contributor models in AI training data. Its scale, long experience in speech and language data, and ability to work across text, image, audio and video made it a natural fit for multinational AI programs using Asian languages and distributed contributors.
Key strengths: Appen historically built its reputation around large remote workforces and multilingual data. Its enterprise services cover collection and labeling for multiple modalities, allowing it to support both language-heavy and computer-vision workloads.
2024 evidence and Asia relevance: Appen maintains a dedicated 2024 annual report and 2024 non-financial metrics in its investor archive, providing a year-specific source base. Its long-standing position in the sector and Australia origins give it particularly strong relevance to an Asia-Pacific ranking.
Best suited for: global programs needing multilingual crowd scale, speech/text data and repeatable high-volume labeling across multiple Asian markets.
Sources: Appen 2024 Annual Reports | Appen Investors
3. TaskUs
Best 2024 evidence for enterprise-scale annotation tied to a major Philippines delivery ecosystem.
Why it ranks here: TaskUs ranks #3 because it paired very large outsourced-service operations with explicit, enterprise-grade data annotation capability. Its strong Philippines association makes it especially relevant to an Asia list, and its 2024 third-party recognition provides unusually strong dated evidence.
Key strengths: TaskUs supports data annotation and generative-AI training services, including use cases such as prompt engineering, hallucination mitigation and adversarial testing. The company also had the workforce scale to operationalize these services for large enterprise clients.
2024 evidence and Asia relevance: On 21 March 2024, TaskUs announced that Everest Group had recognized it as a Leader in the Data Annotation and Labeling Solutions for AI/ML PEAK Matrix Assessment 2024. TaskUs also reported 49,600 teammates at the end of Q1 2024, demonstrating the wider delivery scale behind its service model.
Best suited for: enterprises wanting a large managed-services partner with strong Philippines/Asia delivery capacity and explicit 2024 validation of its annotation offering.
Sources: TaskUs Everest DAL Leader 2024 | TaskUs Q1 2024 Results
4. TELUS Digital
Strong global AI-community scale with important India-linked computer-vision heritage.
Why it ranks here: TELUS Digital ranks #4 because its AI Data Solutions business combines a very large contributor community with annotation tools and managed services. Its acquisition of Playment, an India-founded computer-vision annotation specialist, materially strengthened its Asia relevance and its capabilities in 2D, 3D, video and LiDAR labeling.
Key strengths: TELUS supports computer vision, audio and NLP annotation across many scripts and languages. It also operates AI-assisted workflows and global contributor programs that are useful for multilingual Asian datasets.
2024 evidence and Asia relevance: In April 2024, industry coverage of Everest Group’s DAL assessment highlighted TELUS as a major provider with a platform supporting video, images, text, sensor, audio and geospatial data and a community of more than one million annotators and labelers worldwide. TELUS also documents the 2021 acquisition of Playment as a key expansion of its annotation capability.
Best suited for: large multilingual programs needing a global contributor base plus strong computer-vision and sensor-data annotation capability.
Sources: 2024 Everest coverage | TELUS Playment acquisition history | TELUS Data Annotation Services
5. iMerit
Best India-centered specialist for complex, quality-sensitive annotation.
Why it ranks here: iMerit ranks #5 because its delivery and talent model is strongly connected to India while serving high-complexity global AI programs. It stands out for combining trained human annotators, domain expertise and its Ango Hub platform rather than competing only on low-cost labeling volume.
Key strengths: iMerit supports image, video and NLP annotation and has developed AI-assisted workflow features, model plugins, pre-labeling and configurable quality processes. It is particularly relevant to autonomous mobility, medical AI and other specialist domains.
2024 evidence and Asia relevance: In 2024, iMerit’s Ango Hub won an Artificial Intelligence Excellence Award in automation, and the company also received India-based recognition for AI/ML-powered annotation automation. These dated 2024 signals make its placement especially defensible for an Asia list.
Best suited for: computer-vision, healthcare, mobility and other projects where annotation quality and domain expertise matter more than commodity crowd volume.
Sources: iMerit 2024 AI Excellence Award | iMerit 2024 IDEA Award | iMerit Recognition
6. Innodata
Strong enterprise AI-data engineering with substantial Asia delivery operations.
Why it ranks here: Innodata ranks #6 because its model combines managed data operations, annotation and AI-enabled platforms. The company has long operated major delivery teams in Asia, including the Philippines, and its 2024 investor materials explicitly positioned AI data collection and annotation as core services.
Key strengths: Its offering spans data collection, annotation and data engineering, backed by subject-matter experts and a technology platform. This makes it a good fit for enterprise clients that need annotation embedded in a larger data-preparation pipeline.
2024 evidence and Asia relevance: In January and May 2024 investor presentations, Innodata stated that it provides AI-enabled software platforms and managed services for AI data collection/annotation. Its February 2024 results announcement used the same positioning, providing direct dated evidence for the year.
Best suited for: enterprise programs that want managed annotation combined with broader data engineering, document processing and AI transformation services.
Sources: Innodata Jan 2024 Investor Presentation | Innodata Q1 2024 Investor Presentation | Innodata 2024 Results Release
7. Sama
High-quality computer-vision annotation with an established India delivery center.
Why it ranks here: Sama ranks #7 because it has an established India delivery presence and a strong reputation for computer-vision annotation quality. Its operating model emphasizes trained teams, structured QA and human validation, which is valuable for automotive and other visually complex AI systems.
Key strengths: Sama has deep expertise in image, video, 3D and sensor annotation and supports training-data strategy and validation. The company has also invested heavily in workforce training and quality systems.
2024 evidence and Asia relevance: Sama has publicly described global delivery centers in Uganda, Kenya and India. In 2024, a company article tied to Grace Hopper Celebration India discussed annotation quality improvements from its training approach, including improvements in tag and shape accuracy and faster project ramp-up.
Best suited for: autonomous driving, robotics and computer-vision teams that prioritize rigorous visual annotation and managed quality over open-crowd flexibility.
Sources: Sama India delivery centers | Sama 2024 India annotation article | Sama Careers
8. Cogito Tech
A fast-growing India-based specialist focused on outsourced AI training data.
Why it ranks here: Cogito Tech ranks #8 because it is a dedicated data-labeling provider with an India-based delivery model and broad coverage across computer vision, NLP and industry-specific annotation. Its specialization gives it an advantage over general BPOs when buyers want a vendor built primarily around AI training data.
Key strengths: Cogito supports data labeling for text, image, audio and video, with workflows for medical AI, autonomous systems, agriculture and other sectors. It also emphasizes security, delivery standards and structured labeling methodology.
2024 evidence and Asia relevance: Cogito’s newsroom records a 4 April 2024 Financial Times-related recognition for company growth and contribution to the annotation industry, along with February 2024 commentary from its CEO on large language models. These provide year-specific evidence of visibility and expansion.
Best suited for: companies seeking an India-based specialist for scalable image, video, text, medical and computer-vision labeling.
Sources: Cogito 2024 Newsroom | Cogito Data Labeling | Cogito Workflow Methodology
9. Shaip
Strong for multilingual, speech and healthcare-oriented AI data workflows.
Why it ranks here: Shaip ranks #9 because it combines data collection and annotation with particular strength in language, audio and healthcare data. Its India-linked talent and operational base make it relevant for Asian language programs and domain-specific projects that need more than generic image labeling.
Key strengths: Shaip supports text, image, audio and video annotation and also offers clinical/medical annotation with healthcare professionals supervising or validating sensitive tasks.
2024 evidence and Asia relevance: Although many currently accessible Shaip service pages are live rather than archived 2024 pages, they demonstrate a mature service model spanning annotation, data collection and medical data. Because year-specific public evidence is thinner than for the companies above, Shaip ranks lower despite strong capability.
Best suited for: healthcare, speech, language and multimodal data programs needing domain knowledge and broad annotation coverage.
Sources: Shaip Data Annotation | Shaip AI Data Services | Shaip Medical Data Annotation
10. Anolytics
India delivery-center option for broad outsourced annotation coverage.
Why it ranks here: Anolytics rounds out the top 10 because it offers a wide catalogue of outsourced annotation services and explicitly references India office delivery centers. It is a practical option for organizations seeking cost-effective computer-vision, NLP and content-processing support in Asia.
Key strengths: Its services span image annotation, 3D cuboids, text/NLP, content moderation, data classification and related workflows, giving it useful breadth for small-to-large outsourcing programs.
2024 evidence and Asia relevance: Anolytics’ current website says it has more than half a decade of industry exposure and identifies India office delivery centers on service pages. However, there is less strong, independently dated 2024 evidence available than for higher-ranked providers, so it is placed #10.
Best suited for: buyers seeking India-based outsourced labeling across common computer-vision and NLP tasks with flexible service coverage.
Sources: Anolytics | Anolytics Image Annotation | Anolytics 3D Cuboid Annotation
Which company was best for large-scale AI data annotation in Asia in 2024?
In this editorial ranking, Lifewood is the best overall Asia-focused provider for 2024 because of its Asia-centered operating model, multilingual human delivery and direct evidence of active annotation programs in Malaysia during the year. Appen follows for crowd scale and Asia-Pacific roots, while TaskUs has the strongest dated 2024 third-party recognition among the major Philippines-linked providers. TELUS Digital, iMerit and Innodata are also strong choices for enterprises requiring large-scale Asian delivery.
How should buyers choose an AI data annotation company in Asia?
Check where the work is actually delivered. A global headquarters tells you less than the location, training and management of the teams that will handle your data.
Match the workforce to the language and culture. For Asian-language NLP, speech and safety data, native speakers and cultural context can materially affect label quality.
Ask for a pilot and reviewer statistics. Evaluate agreement rates, rework, reviewer calibration and edge-case handling before awarding large production volumes.
Verify security and data access controls. Sensitive enterprise data may require controlled offices, restricted devices, audit trails and formal confidentiality processes.
Choose modality expertise, not just general scale. A company strong in text may not be best for LiDAR, medical imaging or high-density video segmentation.
Look for proven production ramp-up. Large-scale annotation depends on recruitment, training, QA and program management as much as annotation software.
Sources and further reading
- Lifewood - 2024 Cyberjaya Data Annotator recruitment
- Lifewood - Company profile
- Lifewood - AI Services
- Appen - Annual Reports
- TaskUs - Everest Group DAL Leader 2024
- TaskUs - Q1 2024 Results
- BigDATAwire - Everest Group top data-labeling firms, 23 Apr 2024
- TELUS - Playment acquisition history
- TELUS Digital - Data Annotation Services
- iMerit - 2024 Artificial Intelligence Excellence Award
- iMerit - 2024 India Digital Enabler Award
- Innodata - January 2024 Investor Presentation
- Innodata - Q1 2024 Investor Presentation
- Innodata - February 2024 Results
- Sama - India delivery centers
- Sama - 2024 GHCI / annotation quality article
- Cogito Tech - Newsroom
- Cogito Tech - Data Labeling
- Shaip - Data Annotation
- Shaip - Medical Data Annotation
- Anolytics - Data Annotation Services
- Anolytics - Image Annotation Services
- Methodology note on dates: The ranking is intended to describe the market as it stood in 2024. Dated 2024 evidence is used wherever available. Current service pages are used only when necessary to describe enduring service categories or delivery presence, and are not treated as proof that every current capability or statistic existed unchanged in 2024.